diff --git a/doc/LectureNotes/_build/.doctrees/Clustering.doctree b/doc/LectureNotes/_build/.doctrees/Clustering.doctree index 62bb5e25e..59c2e4d96 100644 Binary files a/doc/LectureNotes/_build/.doctrees/Clustering.doctree and b/doc/LectureNotes/_build/.doctrees/Clustering.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter1.doctree b/doc/LectureNotes/_build/.doctrees/chapter1.doctree index 62f132775..929726e54 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter1.doctree and b/doc/LectureNotes/_build/.doctrees/chapter1.doctree differ diff --git a/doc/LectureNotes/_build/.doctrees/chapter10.doctree b/doc/LectureNotes/_build/.doctrees/chapter10.doctree index 88d74cf11..75555916a 100644 Binary files a/doc/LectureNotes/_build/.doctrees/chapter10.doctree and b/doc/LectureNotes/_build/.doctrees/chapter10.doctree differ diff --git a/doc/LectureNotes/_build/jupyter_execute/Clustering.ipynb b/doc/LectureNotes/_build/jupyter_execute/Clustering.ipynb index b8611853c..7ee16befd 100644 --- a/doc/LectureNotes/_build/jupyter_execute/Clustering.ipynb +++ b/doc/LectureNotes/_build/jupyter_execute/Clustering.ipynb @@ -475,7 +475,7 @@ "output_type": "stream", "text": [ "Converged at iteration 5\n", - "Runtime: 0.5011799335479736 seconds\n" + "Runtime: 0.4849228858947754 seconds\n" ] } ], @@ -604,7 +604,7 @@ "output_type": "stream", "text": [ "Converged at iteration: 5\n", - "Runtime: 0.4376199245452881 seconds\n" + "Runtime: 0.41676807403564453 seconds\n" ] } ], @@ -745,7 +745,7 @@ "output_type": "stream", "text": [ "Converged at iteration: 11\n", - "Runtime: 0.8795850276947021 seconds\n", + "Runtime: 0.8447701930999756 seconds\n", " " ] } @@ -877,7 +877,7 @@ "output_type": "stream", "text": [ "Converged at iteration: 5\n", - "Runtime: 0.003922939300537109 seconds\n" + "Runtime: 0.004042863845825195 seconds\n" ] } ], diff --git a/doc/LectureNotes/_build/jupyter_execute/chapter1.ipynb b/doc/LectureNotes/_build/jupyter_execute/chapter1.ipynb index a5fd69df9..56aca56d9 100644 --- a/doc/LectureNotes/_build/jupyter_execute/chapter1.ipynb +++ b/doc/LectureNotes/_build/jupyter_execute/chapter1.ipynb @@ -310,7 +310,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -461,7 +461,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -526,18 +526,18 @@ "output_type": "stream", "text": [ "The intercept alpha: \n", - " [1.94994109]\n", + " [2.07710775]\n", "Coefficient beta : \n", - " [[5.0707273]]\n", - "Mean squared error: 0.24\n", - "Variance score: 0.90\n", + " [[4.7577194]]\n", + "Mean squared error: 0.19\n", + "Variance score: 0.91\n", "Mean squared log error: 0.01\n", - "Mean absolute error: 0.42\n" + "Mean absolute error: 0.34\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -730,7 +730,7 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -747,7 +747,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.005000000000000007\n" + "0.004999999999999996\n" ] } ], @@ -1322,7 +1322,7 @@ "270 3344 160 110 270 Ds 7.253775 7.253775\n", "\n", "[267 rows x 6 columns]\n", - "0.00988361564671618\n" + "0.009883615646716182\n" ] } ], @@ -1395,8 +1395,6 @@ "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n" ] }, @@ -1435,8 +1433,6 @@ "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n" ] }, @@ -1449,8 +1445,6 @@ "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", - " warnings.warn(\n", - "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n" ] }, @@ -1460,6 +1454,16 @@ "text": [ "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", + "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", @@ -1474,6 +1478,16 @@ "text": [ "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", + "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", + "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n", "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", @@ -1494,6 +1508,8 @@ "name": "stderr", "output_type": "stream", "text": [ + "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", + " warnings.warn(\n", "/Users/mhjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/neural_network/_multilayer_perceptron.py:582: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet.\n", " warnings.warn(\n" ] @@ -1508,14 +1524,14 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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