From 5743bb6c9145f8dd794f6e525d86eb5af72a3423 Mon Sep 17 00:00:00 2001
From: mhjensen <morten.hjorth-jensen@fys.uio.no>
Date: Fri, 6 Dec 2019 09:15:09 +0100
Subject: [PATCH] typo in decision tree

---
 .../html/._DecisionTrees-bs042.html           |   2 +-
 .../html/DecisionTrees-reveal.html            |   2 +-
 .../html/DecisionTrees-solarized.html         |   2 +-
 doc/pub/DecisionTrees/html/DecisionTrees.html |   2 +-
 .../DecisionTrees/ipynb/DecisionTrees.ipynb   |   2 +-
 .../ipynb/ipynb-DecisionTrees-src.tar.gz      | Bin 294061 -> 294061 bytes
 .../pdf/DecisionTrees-minted.pdf              | Bin 563936 -> 563926 bytes
 doc/src/DecisionTrees/DecisionTrees.do.txt    |   2 +-
 8 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs042.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs042.html
index d4c0e951a..118c2378e 100644
--- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs042.html
+++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs042.html
@@ -282,7 +282,7 @@ MathJax.Hub.Config({
 The algorithm described here can be applied to both classification and regression problems.
 
 <p>
-We will grow of forest of say \( M \) trees.
+We will grow of forest of say \( B \) trees.
 
 <ol>
 <li> For \( b=1:B \)</li>
diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html b/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html
index 64b17ab31..bc5b23481 100644
--- a/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html
+++ b/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html
@@ -1900,7 +1900,7 @@ this setting.
 The algorithm described here can be applied to both classification and regression problems.
 
 <p>
-We will grow of forest of say \( M \) trees.
+We will grow of forest of say \( B \) trees.
 
 <ol>
 <p><li> For \( b=1:B \)</li>
diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html b/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html
index cc7d97d36..3acb592b8 100644
--- a/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html
+++ b/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html
@@ -1919,7 +1919,7 @@ this setting.
 The algorithm described here can be applied to both classification and regression problems.
 
 <p>
-We will grow of forest of say \( M \) trees.
+We will grow of forest of say \( B \) trees.
 
 <ol>
 <li> For \( b=1:B \)</li>
diff --git a/doc/pub/DecisionTrees/html/DecisionTrees.html b/doc/pub/DecisionTrees/html/DecisionTrees.html
index 4c136f88f..9f10b9c70 100644
--- a/doc/pub/DecisionTrees/html/DecisionTrees.html
+++ b/doc/pub/DecisionTrees/html/DecisionTrees.html
@@ -1924,7 +1924,7 @@ this setting.
 The algorithm described here can be applied to both classification and regression problems.
 
 <p>
-We will grow of forest of say \( M \) trees.
+We will grow of forest of say \( B \) trees.
 
 <ol>
 <li> For \( b=1:B \)</li>
diff --git a/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb b/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb
index 2a7a30dba..bb33c0a10 100644
--- a/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb
+++ b/doc/pub/DecisionTrees/ipynb/DecisionTrees.ipynb
@@ -1952,7 +1952,7 @@
     "## Random Forest Algorithm\n",
     "The algorithm described here can be applied to both classification and regression problems.\n",
     "\n",
-    "We will grow of forest of say $M$ trees.\n",
+    "We will grow of forest of say $B$ trees.\n",
     "1. For $b=1:B$\n",
     "\n",
     "  * Draw a bootstrap sample of from the training data organized in our $\\boldsymbol{X}$ matrix.\n",
diff --git a/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz b/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz
index bcf32e0b9cd246bb2c0b76e245ed27a75ea704f5..73c4fbde135f1e82752dcfb1c62ae9a84d009db1 100644
GIT binary patch
delta 29
lcmZ4cQ*iB1K{okr4u=1{jcl!KjIC@;t!&I&*;tm>005pS2}1w?

delta 29
lcmZ4cQ*iB1K{okr4u(fOjcl!KjIC@;t!&I&*;tm>005i~2_*mk

diff --git a/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf b/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf
index 52ca6827cafb42f996e658c718ad13d262829bdf..dfe40beec55eaad536d7469c783c5bc63cf739b8 100644
GIT binary patch
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diff --git a/doc/src/DecisionTrees/DecisionTrees.do.txt b/doc/src/DecisionTrees/DecisionTrees.do.txt
index bc4b03864..2b28ffbcd 100644
--- a/doc/src/DecisionTrees/DecisionTrees.do.txt
+++ b/doc/src/DecisionTrees/DecisionTrees.do.txt
@@ -1559,7 +1559,7 @@ this setting.
 ===== Random Forest Algorithm =====
 The algorithm described here can be applied to both classification and regression problems.
 
-We will grow of forest of say $M$ trees.
+We will grow of forest of say $B$ trees.
 o For $b=1:B$
   * Draw a bootstrap sample of from the training data organized in our $\bm{X}$ matrix.
   * We grow then a random forest tree $T_b$ based on the bootstrapped data by repeating the steps outlined till we reach the maximum node size is reached