diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs000.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs000.html index d3af51f30..42e102612 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs000.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs000.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -259,7 +266,7 @@ MathJax.Hub.Config({
  • 9
  • 10
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs001.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs001.html index d52e86407..ecec6e052 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs001.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs001.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -264,7 +271,7 @@ given some assumptions, make predictions about the target feature value
  • 10
  • 11
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs002.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs002.html index 19081a2e0..10e742c0d 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs002.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs002.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -242,7 +249,7 @@ This tree was produced using the Wisconsin cancer data (discussed here as well,
  • 11
  • 12
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs003.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs003.html index 1819ad7de..babc3f8e6 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs003.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs003.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -250,7 +257,7 @@ node.
  • 12
  • 13
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs004.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs004.html index 171fc9a99..e27daa8f3 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs004.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs004.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -251,7 +258,7 @@ Then we are essentially done!
  • 13
  • 14
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs005.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs005.html index 190af1d97..cd89bf89f 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs005.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs005.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -330,7 +337,7 @@ plt.show()
  • 14
  • 15
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs006.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs006.html index b6ecbc88f..a633a013f 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs006.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs006.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -263,7 +270,7 @@ within box \( j \).
  • 15
  • 16
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs007.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs007.html index 2d0ef5e23..ec8fd5c4c 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs007.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs007.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -255,7 +262,7 @@ better tree in some future step.
  • 16
  • 17
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs008.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs008.html index aed9b69e2..5d7a0a02d 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs008.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs008.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -288,7 +295,7 @@ region contains more than five observations.
  • 17
  • 18
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs009.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs009.html index 3d0fa288f..7e0d79c64 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs009.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs009.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -257,7 +264,7 @@ parameter \( \alpha \).
  • 18
  • 19
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs010.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs010.html index 0eb2c82dc..a90f7ef7f 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs010.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs010.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -270,7 +277,7 @@ subtree corresponding to \( \alpha \).
  • 19
  • 20
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs011.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs011.html index 5539936a2..b468cbcc0 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs011.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs011.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -266,7 +273,7 @@ MathJax.Hub.Config({
  • 20
  • 21
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs012.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs012.html index 2811e5518..5acbad162 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs012.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs012.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -258,7 +265,7 @@ fall into that region.
  • 21
  • 22
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs013.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs013.html index c447db1ca..743f757cd 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs013.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs013.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -263,7 +270,7 @@ than is the classification error rate.
  • 22
  • 23
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs014.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs014.html index 9de2536da..990d9246e 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs014.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs014.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -289,7 +296,7 @@ $$
  • 23
  • 24
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html index d5ecc54a4..d8bed0045 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -280,7 +287,7 @@ os.system(cmd)
  • 24
  • 25
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs016.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs016.html index c027ae3fb..39660ce4b 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs016.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs016.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -271,7 +278,7 @@ os.system(cmd)
  • 25
  • 26
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html index a8f76dedd..01461e8b7 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -252,7 +259,7 @@ We discuss both algorithms with applications here. The popular library -Scikit-L
  • 26
  • 27
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs018.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs018.html index c27078f9f..4ca9f7c88 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs018.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs018.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -244,7 +251,7 @@ MathJax.Hub.Config({
  • 27
  • 28
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs019.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs019.html index 99f1128fa..7d20eb124 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs019.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs019.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -244,7 +251,7 @@ MathJax.Hub.Config({
  • 28
  • 29
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs020.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs020.html index 41e54dc33..addf1619c 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs020.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs020.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -284,7 +291,7 @@ The table here summarizes the various attributes and
  • 29
  • 30
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs021.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs021.html index fb056aa3e..3ab39a28b 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs021.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs021.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -315,7 +322,7 @@ os.system(cmd)
  • 30
  • 31
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs022.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs022.html index 69799d2f4..d7341066e 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs022.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs022.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -317,7 +324,7 @@ split = get_split(dataset)
  • 31
  • 32
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs023.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs023.html index 4b0fbf129..846eefc81 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs023.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs023.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -275,7 +282,7 @@ attributes at each step while growing the tree.
  • 32
  • 33
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs024.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs024.html index 629dd5b61..6c328174c 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs024.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs024.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -435,7 +442,7 @@ MathJax.Hub.Config({
  • 33
  • 34
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs025.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs025.html index 007189f96..ff5c15b78 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs025.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs025.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -288,7 +295,7 @@ deep_tree_clf.fit(X_train_scaled, y_train)
  • 34
  • 35
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs026.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs026.html index f78eaa57e..c42b05767 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs026.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs026.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -311,7 +318,7 @@ plt.show()
  • 35
  • 36
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs027.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs027.html index 56d28620e..e68237480 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs027.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs027.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -267,7 +274,7 @@ plt.show()
  • 36
  • 37
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs028.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs028.html index e273f04d6..f17414fad 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs028.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs028.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -261,7 +268,7 @@ tree_reg.fit(X, y)
  • 37
  • 38
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs029.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs029.html index fbbbe5a1b..01ded5581 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs029.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs029.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -317,7 +324,7 @@ plt.show()
  • 38
  • 39
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs030.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs030.html index 2fe2c735c..9f624b150 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs030.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs030.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -253,7 +260,7 @@ MathJax.Hub.Config({
  • 39
  • 40
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs031.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs031.html index 0c34ea623..fabfcc25f 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs031.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs031.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -256,7 +263,7 @@ However, by aggregating many decision trees, using methods like bagging, random
  • 40
  • 41
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs032.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs032.html index b0021f258..adc5fb5d2 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs032.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs032.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -263,7 +270,7 @@ We discuss these methods here.
  • 41
  • 42
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs033.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs033.html index dc0c43a21..975c811e7 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs033.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs033.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -258,7 +265,7 @@ learning method.
  • 42
  • 43
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs034.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs034.html index 66f2c548a..fdf6c10c4 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs034.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs034.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -268,7 +275,7 @@ predictor, averaged over all \( B \) trees.
  • 43
  • 44
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs035.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs035.html index ef578e8ec..474dba6b1 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs035.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs035.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -259,7 +266,7 @@ plt.show()
  • 44
  • 45
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs036.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs036.html index 26b02799b..0f51a5012 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs036.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs036.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -290,7 +297,7 @@ voting_clf.fit(X_train, y_train)
  • 45
  • 46
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs037.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs037.html index 4a42cdb71..32bcd8d58 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs037.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs037.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -297,7 +304,7 @@ voting_clf.fit(X_train, y_train)
  • 46
  • 47
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs038.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs038.html index bd5f4e9b9..33680f159 100644 --- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs038.html +++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs038.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -300,7 +307,7 @@ plt.show()
  • 47
  • 48
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-bs.html b/doc/pub/DecisionTrees/html/DecisionTrees-bs.html index d3af51f30..42e102612 100644 --- a/doc/pub/DecisionTrees/html/DecisionTrees-bs.html +++ b/doc/pub/DecisionTrees/html/DecisionTrees-bs.html @@ -100,20 +100,25 @@ Automatically generated HTML file from DocOnce source '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -190,17 +195,19 @@ MathJax.Hub.Config({
  • Please, not the moons again! Voting and Bagging
  • Now Bagging
  • Random forests
    • -
  • A simple scikit-learn example
    • -
  • Then random forests
    • -
  • Feature Importance
    • -
  • Boosting, a Bird'e Eye
    • -
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • -
  • Basic Steps of AdaBoost
    • -
  • AdaBoost Examples
    • -
  • Gradient boosting: Basic Algorithm
    • -
  • Gradient Boosting, Examples
    • -
  • Gradient Boots with Early Stopping
    • -
  • XGBoost: Extreme Gradient Boosting
    • +
  • Random Forest Algorithm
    • +
  • A simple scikit-learn example
    • +
  • Then random forests
    • +
  • Feature Importance
    • +
  • Boosting, a Bird'e Eye
    • +
  • Adaptive boosting: AdaBoost, Basic Algorithm
    • +
  • Basic Steps of AdaBoost
    • +
  • Figure to Illustrate the Iterative Classification Process
    • +
  • AdaBoost Examples
    • +
  • Gradient boosting: Basic Algorithm
    • +
  • Gradient Boosting, Examples
    • +
  • Gradient Boots with Early Stopping
    • +
  • XGBoost: Extreme Gradient Boosting
    • @@ -259,7 +266,7 @@ MathJax.Hub.Config({
  • 9
  • 10
  • ...
    • -
  • 51
    • +
  • 53
  • »
    • diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html b/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html index 1f48a1ff5..af922e8f1 100644 --- a/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html +++ b/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html @@ -1752,7 +1752,13 @@ this setting.
    -

    A simple scikit-learn example

    +

    Random Forest Algorithm

    +The algorithm described here can be applied to both classification and regression problems. +
    + + +
    +

    A simple scikit-learn example

    @@ -1771,7 +1777,7 @@ accuracy = cross_validate(Random_Forest_model,X,Y,cv=Then random forests +

    Then random forests

    @@ -1794,7 +1800,7 @@ np.sum(y_pred == y_pred_rf) / len(y_pred)

    -

    Feature Importance

    +

    Feature Importance

    Example will be added here. @@ -1802,7 +1808,7 @@ Example will be added here.

    -

    Boosting, a Bird'e Eye

    +

    Boosting, a Bird'e Eye

    The basic idea is to combine weak classifiers in order to create a good @@ -1819,7 +1825,7 @@ them with a factor.

    -

    Adaptive boosting: AdaBoost, Basic Algorithm

    +

    Adaptive boosting: AdaBoost, Basic Algorithm

    The algorithm here is rather straightforward. Assume that our weak @@ -1843,7 +1849,7 @@ where the function \( I() \) is one if we misclassify and zero if we classify co

    -

    Basic Steps of AdaBoost

    +

    Basic Steps of AdaBoost

    With the above definitions we are now ready to set up the algorithm for AdaBoost. @@ -1858,11 +1864,42 @@ $$ \mathrm{err}=\frac{\sum_{i=0}^{n-1}w_iI(y_i\ne G(\boldsymbol{X}_{i*})}{\sum_{i=0}^{n-1}w_i}, $$

     
    + + +

      +

    1. Then we start looping over all attempts at classifying, namely we start an iterative process for \( m=1:M \), where \( M \) is the final number of classifications. Our given classifier could for example be a plain decision tree. + +
        +

      1. Fit thus a given classifier to the training using the weights \( w_i \).
        2. +

      2. Compute then \( \mathrm{err} \) and figure out which events are classified properly and which are classified wrongly.
        3. +

      3. Define a quantity $\alpha_{m} = \log{(1-\mathrm{err})/\mathrm{err}}
        4. +

      4. Set the new weights to $w_i = w_i\times \exp{(\alpha_m I(y_i\ne G(\boldsymbol{X}_{i*})}.
        5. +
      +

    2. Compute the new classifier $G(\boldsymbol{X})= \sum_{i=0}^{n-1}\alpha_m I(y_i\ne G(\boldsymbol{X}_{i*}).
      3. +
    +

    + +For the iterations with \( m \le 2 \) the weights are modified +individually at each steps. The obersvations which were misclassified +at iteration \( m-1 \) have a weight which is larger than those which were +classified properly. As this proceeds, the observations which were +difficult to classifiy correctly are given a larger influence. Each +new classificatio step \( m \) is then forced to concentrate on those +observations that are missed in the previous iterations.

    -

    AdaBoost Examples

    +

    Figure to Illustrate the Iterative Classification Process

    +
    + + +
    +

    AdaBoost Examples

    + +

    +Using Scikit-Learn it is easy to appply the adaptive boosting algorithm, as done here. +

    @@ -1902,12 +1939,12 @@ plt.show()

    -

    Gradient boosting: Basic Algorithm

    +

    Gradient boosting: Basic Algorithm

    -

    Gradient Boosting, Examples

    +

    Gradient Boosting, Examples

    @@ -1998,7 +2035,7 @@ plt.show()

    -

    Gradient Boots with Early Stopping

    +

    Gradient Boots with Early Stopping

    @@ -2063,7 +2100,7 @@ error_going_up = 0

    -

    XGBoost: Extreme Gradient Boosting

    +

    XGBoost: Extreme Gradient Boosting

    diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html b/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html index ee7f98b36..56336a6f5 100644 --- a/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html +++ b/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html @@ -120,20 +120,25 @@ div { text-align: justify; text-justify: inter-word; } '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -1732,7 +1737,13 @@ this setting.











    -

    A simple scikit-learn example

    +

    Random Forest Algorithm

    +The algorithm described here can be applied to both classification and regression problems. + +

    +









    + +

    A simple scikit-learn example

    @@ -1750,7 +1761,7 @@ accuracy = cross_validate(Random_Forest_model,X,Y,cv=Then random forests +

    Then random forests

    @@ -1772,7 +1783,7 @@ np.sum(y_pred == y_pred_rf) / len(y_pred)











    -

    Feature Importance

    +

    Feature Importance

    Example will be added here. @@ -1780,7 +1791,7 @@ Example will be added here.











    -

    Boosting, a Bird'e Eye

    +

    Boosting, a Bird'e Eye

    The basic idea is to combine weak classifiers in order to create a good @@ -1797,7 +1808,7 @@ them with a factor.











    -

    Adaptive boosting: AdaBoost, Basic Algorithm

    +

    Adaptive boosting: AdaBoost, Basic Algorithm

    The algorithm here is rather straightforward. Assume that our weak @@ -1819,7 +1830,7 @@ where the function \( I() \) is one if we misclassify and zero if we classify co











    -

    Basic Steps of AdaBoost

    +

    Basic Steps of AdaBoost

    With the above definitions we are now ready to set up the algorithm for AdaBoost. @@ -1834,10 +1845,41 @@ $$ \mathrm{err}=\frac{\sum_{i=0}^{n-1}w_iI(y_i\ne G(\boldsymbol{X}_{i*})}{\sum_{i=0}^{n-1}w_i}, $$ + +

      +
    1. Then we start looping over all attempts at classifying, namely we start an iterative process for \( m=1:M \), where \( M \) is the final number of classifications. Our given classifier could for example be a plain decision tree. + +
        +
      1. Fit thus a given classifier to the training using the weights \( w_i \).
        2. +
      2. Compute then \( \mathrm{err} \) and figure out which events are classified properly and which are classified wrongly.
        3. +
      3. Define a quantity $\alpha_{m} = \log{(1-\mathrm{err})/\mathrm{err}}
        4. +
      4. Set the new weights to $w_i = w_i\times \exp{(\alpha_m I(y_i\ne G(\boldsymbol{X}_{i*})}.
        5. +
      + +
    2. Compute the new classifier $G(\boldsymbol{X})= \sum_{i=0}^{n-1}\alpha_m I(y_i\ne G(\boldsymbol{X}_{i*}).
      3. +
    + +For the iterations with \( m \le 2 \) the weights are modified +individually at each steps. The obersvations which were misclassified +at iteration \( m-1 \) have a weight which is larger than those which were +classified properly. As this proceeds, the observations which were +difficult to classifiy correctly are given a larger influence. Each +new classificatio step \( m \) is then forced to concentrate on those +observations that are missed in the previous iterations. +











    -

    AdaBoost Examples

    +

    Figure to Illustrate the Iterative Classification Process

    + +

    +









    + +

    AdaBoost Examples

    + +

    +Using Scikit-Learn it is easy to appply the adaptive boosting algorithm, as done here. +

    @@ -1876,12 +1918,12 @@ plt.show()











    -

    Gradient boosting: Basic Algorithm

    +

    Gradient boosting: Basic Algorithm











    -

    Gradient Boosting, Examples

    +

    Gradient Boosting, Examples

    @@ -1971,7 +2013,7 @@ plt.show()











    -

    Gradient Boots with Early Stopping

    +

    Gradient Boots with Early Stopping

    @@ -2035,7 +2077,7 @@ error_going_up = 0











    -

    XGBoost: Extreme Gradient Boosting

    +

    XGBoost: Extreme Gradient Boosting

    diff --git a/doc/pub/DecisionTrees/html/DecisionTrees.html b/doc/pub/DecisionTrees/html/DecisionTrees.html index 50175bd87..c0ce80a23 100644 --- a/doc/pub/DecisionTrees/html/DecisionTrees.html +++ b/doc/pub/DecisionTrees/html/DecisionTrees.html @@ -125,20 +125,25 @@ div { text-align: justify; text-justify: inter-word; } '___sec36'), ('Now Bagging', 2, None, '___sec37'), ('Random forests', 2, None, '___sec38'), - ('A simple scikit-learn example', 2, None, '___sec39'), - ('Then random forests', 2, None, '___sec40'), - ('Feature Importance', 2, None, '___sec41'), - ("Boosting, a Bird'e Eye", 2, None, '___sec42'), + ('Random Forest Algorithm', 2, None, '___sec39'), + ('A simple scikit-learn example', 2, None, '___sec40'), + ('Then random forests', 2, None, '___sec41'), + ('Feature Importance', 2, None, '___sec42'), + ("Boosting, a Bird'e Eye", 2, None, '___sec43'), ('Adaptive boosting: AdaBoost, Basic Algorithm', 2, None, - '___sec43'), - ('Basic Steps of AdaBoost', 2, None, '___sec44'), - ('AdaBoost Examples', 2, None, '___sec45'), - ('Gradient boosting: Basic Algorithm', 2, None, '___sec46'), - ('Gradient Boosting, Examples', 2, None, '___sec47'), - ('Gradient Boots with Early Stopping', 2, None, '___sec48'), - ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec49')]} + '___sec44'), + ('Basic Steps of AdaBoost', 2, None, '___sec45'), + ('Figure to Illustrate the Iterative Classification Process', + 2, + None, + '___sec46'), + ('AdaBoost Examples', 2, None, '___sec47'), + ('Gradient boosting: Basic Algorithm', 2, None, '___sec48'), + ('Gradient Boosting, Examples', 2, None, '___sec49'), + ('Gradient Boots with Early Stopping', 2, None, '___sec50'), + ('XGBoost: Extreme Gradient Boosting', 2, None, '___sec51')]} end of tocinfo --> @@ -1737,7 +1742,13 @@ this setting.











    -

    A simple scikit-learn example

    +

    Random Forest Algorithm

    +The algorithm described here can be applied to both classification and regression problems. + +

    +









    + +

    A simple scikit-learn example

    @@ -1755,7 +1766,7 @@ accuracy = cross_validate(Random_Forest_mode











    -

    Then random forests

    +

    Then random forests

    @@ -1777,7 +1788,7 @@ np.sum(y_pred =











    -

    Feature Importance

    +

    Feature Importance

    Example will be added here. @@ -1785,7 +1796,7 @@ Example will be added here.











    -

    Boosting, a Bird'e Eye

    +

    Boosting, a Bird'e Eye

    The basic idea is to combine weak classifiers in order to create a good @@ -1802,7 +1813,7 @@ them with a factor.











    -

    Adaptive boosting: AdaBoost, Basic Algorithm

    +

    Adaptive boosting: AdaBoost, Basic Algorithm

    The algorithm here is rather straightforward. Assume that our weak @@ -1824,7 +1835,7 @@ where the function \( I() \) is one if we misclassify and zero if we classify co











    -

    Basic Steps of AdaBoost

    +

    Basic Steps of AdaBoost

    With the above definitions we are now ready to set up the algorithm for AdaBoost. @@ -1839,10 +1850,41 @@ $$ \mathrm{err}=\frac{\sum_{i=0}^{n-1}w_iI(y_i\ne G(\boldsymbol{X}_{i*})}{\sum_{i=0}^{n-1}w_i}, $$ + +

      +
    1. Then we start looping over all attempts at classifying, namely we start an iterative process for \( m=1:M \), where \( M \) is the final number of classifications. Our given classifier could for example be a plain decision tree. + +
        +
      1. Fit thus a given classifier to the training using the weights \( w_i \).
        2. +
      2. Compute then \( \mathrm{err} \) and figure out which events are classified properly and which are classified wrongly.
        3. +
      3. Define a quantity $\alpha_{m} = \log{(1-\mathrm{err})/\mathrm{err}}
        4. +
      4. Set the new weights to $w_i = w_i\times \exp{(\alpha_m I(y_i\ne G(\boldsymbol{X}_{i*})}.
        5. +
      + +
    2. Compute the new classifier $G(\boldsymbol{X})= \sum_{i=0}^{n-1}\alpha_m I(y_i\ne G(\boldsymbol{X}_{i*}).
      3. +
    + +For the iterations with \( m \le 2 \) the weights are modified +individually at each steps. The obersvations which were misclassified +at iteration \( m-1 \) have a weight which is larger than those which were +classified properly. As this proceeds, the observations which were +difficult to classifiy correctly are given a larger influence. Each +new classificatio step \( m \) is then forced to concentrate on those +observations that are missed in the previous iterations. +











    -

    AdaBoost Examples

    +

    Figure to Illustrate the Iterative Classification Process

    + +

    +









    + +

    AdaBoost Examples

    + +

    +Using Scikit-Learn it is easy to appply the adaptive boosting algorithm, as done here. +

    @@ -1881,12 +1923,12 @@ plt.show()











    -

    Gradient boosting: Basic Algorithm

    +

    Gradient boosting: Basic Algorithm











    -

    Gradient Boosting, Examples

    +

    Gradient Boosting, Examples

    @@ -1976,7 +2018,7 @@ plt.show()











    -

    Gradient Boots with Early Stopping

    +

    Gradient Boots with Early Stopping

    @@ -2040,7 +2082,7 @@ error_going_up = XGBoost: Extreme Gradient Boosting +

    XGBoost: Extreme Gradient Boosting

    diff --git a/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb b/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb index e84a1c377..7cf60d741 100644 --- a/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb +++ b/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb @@ -1762,6 +1762,10 @@ "not lead to a substantial reduction in variance over a single tree in\n", "this setting.\n", "\n", + "\n", + "## Random Forest Algorithm\n", + "The algorithm described here can be applied to both classification and regression problems.\n", + "\n", "## A simple scikit-learn example" ] }, @@ -1894,7 +1898,33 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## AdaBoost Examples" + "1. Then we start looping over all attempts at classifying, namely we start an iterative process for $m=1:M$, where $M$ is the final number of classifications. Our given classifier could for example be a plain decision tree.\n", + "\n", + "a. Fit thus a given classifier to the training using the weights $w_i$.\n", + "\n", + "b. Compute then $\\mathrm{err}$ and figure out which events are classified properly and which are classified wrongly.\n", + "\n", + "c. Define a quantity $\\alpha_{m} = \\log{(1-\\mathrm{err})/\\mathrm{err}}\n", + "\n", + "d. Set the new weights to $w_i = w_i\\times \\exp{(\\alpha_m I(y_i\\ne G(\\boldsymbol{X}_{i*})}.\n", + "\n", + "\n", + "5. Compute the new classifier $G(\\boldsymbol{X})= \\sum_{i=0}^{n-1}\\alpha_m I(y_i\\ne G(\\boldsymbol{X}_{i*}).\n", + "\n", + "For the iterations with $m \\le 2$ the weights are modified\n", + "individually at each steps. The obersvations which were misclassified\n", + "at iteration $m-1$ have a weight which is larger than those which were\n", + "classified properly. As this proceeds, the observations which were\n", + "difficult to classifiy correctly are given a larger influence. Each\n", + "new classificatio step $m$ is then forced to concentrate on those\n", + "observations that are missed in the previous iterations.\n", + "\n", + "## Figure to Illustrate the Iterative Classification Process\n", + "\n", + "\n", + "## AdaBoost Examples\n", + "\n", + "Using **Scikit-Learn** it is easy to appply the adaptive boosting algorithm, as done here." ] }, { diff --git a/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz b/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz index f87e98931..39e57db23 100644 Binary files a/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz and b/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz differ diff --git a/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf b/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf index 53ae56b4b..b20336b32 100644 Binary files a/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf and b/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf differ diff --git a/doc/src/DecisionTrees/DecisionTrees.do.txt b/doc/src/DecisionTrees/DecisionTrees.do.txt index 787ba6bb8..dc02103a0 100644 --- a/doc/src/DecisionTrees/DecisionTrees.do.txt +++ b/doc/src/DecisionTrees/DecisionTrees.do.txt @@ -1420,6 +1420,11 @@ uncorrelated quanti- ties. In particular, this means that bagging will not lead to a substantial reduction in variance over a single tree in this setting. + +!split +===== Random Forest Algorithm ===== +The algorithm described here can be applied to both classification and regression problems. + !split ===== A simple scikit-learn example ===== !bc pycod @@ -1509,11 +1514,30 @@ o We rewrite the misclassification error as \mathrm{err}=\frac{\sum_{i=0}^{n-1}w_iI(y_i\ne G(\bm{X}_{i*})}{\sum_{i=0}^{n-1}w_i}, \] !et +o Then we start looping over all attempts at classifying, namely we start an iterative process for $m=1:M$, where $M$ is the final number of classifications. Our given classifier could for example be a plain decision tree. + o Fit thus a given classifier to the training using the weights $w_i$. + o Compute then $\mathrm{err}$ and figure out which events are classified properly and which are classified wrongly. + o Define a quantity $\alpha_{m} = \log{(1-\mathrm{err})/\mathrm{err}} + o Set the new weights to $w_i = w_i\times \exp{(\alpha_m I(y_i\ne G(\bm{X}_{i*})}. +o Compute the new classifier $G(\bm{X})= \sum_{i=0}^{n-1}\alpha_m I(y_i\ne G(\bm{X}_{i*}). +For the iterations with $m \le 2$ the weights are modified +individually at each steps. The obersvations which were misclassified +at iteration $m-1$ have a weight which is larger than those which were +classified properly. As this proceeds, the observations which were +difficult to classifiy correctly are given a larger influence. Each +new classificatio step $m$ is then forced to concentrate on those +observations that are missed in the previous iterations. + +!split +===== Figure to Illustrate the Iterative Classification Process ===== !split ===== AdaBoost Examples ===== + +Using _Scikit-Learn_ it is easy to appply the adaptive boosting algorithm, as done here. + !bc pycod from sklearn.ensemble import AdaBoostClassifier