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Commitca6bec0

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Pushing the docs to dev/ for branch: master, commit 6e664528a7d12998c8681a065cac0f6e5ba5171a
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‎dev/_downloads/scikit-learn-docs.pdf

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‎dev/_sources/auto_examples/applications/plot_model_complexity_influence.txt

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learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
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penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
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verbose=0, warm_start=False)
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Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.028643s
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Complexity: 4454 | Hamming Loss (Misclassification Ratio): 0.2501 | Pred. Time: 0.025108s
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Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
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eta0=0.0, fit_intercept=True, l1_ratio=0.5, learning_rate='optimal',
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loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
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power_t=0.5, random_state=None, shuffle=True, verbose=0,
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warm_start=False)
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Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.020735s
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Complexity: 1624 | Hamming Loss (Misclassification Ratio): 0.2923 | Pred. Time: 0.018948s
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Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
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eta0=0.0, fit_intercept=True, l1_ratio=0.75,
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learning_rate='optimal', loss='modified_huber', n_iter=5, n_jobs=1,
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penalty='elasticnet', power_t=0.5, random_state=None, shuffle=True,
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verbose=0, warm_start=False)
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Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.017476s
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Complexity: 873 | Hamming Loss (Misclassification Ratio): 0.3191 | Pred. Time: 0.015756s
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Benchmarking SGDClassifier(alpha=0.001, average=False, class_weight=None, epsilon=0.1,
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eta0=0.0, fit_intercept=True, l1_ratio=0.9, learning_rate='optimal',
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loss='modified_huber', n_iter=5, n_jobs=1, penalty='elasticnet',
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power_t=0.5, random_state=None, shuffle=True, verbose=0,
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warm_start=False)
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Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.015822s
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Complexity: 655 | Hamming Loss (Misclassification Ratio): 0.3252 | Pred. Time: 0.014044s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.1, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000390s
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Complexity: 69 | MSE: 31.8133 | Pred. Time: 0.000361s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.25, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000693s
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Complexity: 136 | MSE: 25.6140 | Pred. Time: 0.000642s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.5, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001189s
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Complexity: 243 | MSE: 22.3315 | Pred. Time: 0.001103s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.75, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001670s
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Complexity: 350 | MSE: 21.3679 | Pred. Time: 0.001561s
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Benchmarking NuSVR(C=1000.0, cache_size=200, coef0=0.0, degree=3, gamma=3.0517578125e-05,
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kernel='rbf', max_iter=-1, nu=0.9, shrinking=True, tol=0.001,
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verbose=False)
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Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001919s
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Complexity: 404 | MSE: 21.0915 | Pred. Time: 0.001784s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
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max_leaf_nodes=None, min_impurity_split=1e-07,
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min_samples_leaf=1, min_samples_split=2,
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min_weight_fraction_leaf=0.0, n_estimators=10, presort='auto',
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random_state=None, subsample=1.0, verbose=0, warm_start=False)
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Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000119s
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Complexity: 10 | MSE: 28.9793 | Pred. Time: 0.000111s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
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max_leaf_nodes=None, min_impurity_split=1e-07,
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min_samples_leaf=1, min_samples_split=2,
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min_weight_fraction_leaf=0.0, n_estimators=50, presort='auto',
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random_state=None, subsample=1.0, verbose=0, warm_start=False)
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Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000212s
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Complexity: 50 | MSE: 8.3398 | Pred. Time: 0.000194s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -297,7 +297,7 @@ main code
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min_weight_fraction_leaf=0.0, n_estimators=100,
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presort='auto', random_state=None, subsample=1.0, verbose=0,
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warm_start=False)
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Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000302s
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Complexity: 100 | MSE: 7.0096 | Pred. Time: 0.000279s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -306,7 +306,7 @@ main code
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min_weight_fraction_leaf=0.0, n_estimators=200,
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presort='auto', random_state=None, subsample=1.0, verbose=0,
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warm_start=False)
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Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000478s
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Complexity: 200 | MSE: 6.1836 | Pred. Time: 0.000445s
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Benchmarking GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
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learning_rate=0.1, loss='ls', max_depth=3, max_features=None,
@@ -315,10 +315,10 @@ main code
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min_weight_fraction_leaf=0.0, n_estimators=500,
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presort='auto', random_state=None, subsample=1.0, verbose=0,
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Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.001051s
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Complexity: 500 | MSE: 6.3426 | Pred. Time: 0.000965s
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**Total running time of the script:** ( 0 minutes25.022 seconds)
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‎dev/_sources/auto_examples/applications/plot_out_of_core_classification.txt

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Out::
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Test set is 878 documents (108 positive)
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Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.74s (553 docs/s)
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Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.74s (552 docs/s)
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SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.75s (550 docs/s)
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NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.78s (539 docs/s)
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Passive-Aggressive classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.913 in 1.61s (598 docs/s)
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Perceptron classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.921 in 1.61s (596 docs/s)
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SGD classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.925 in 1.62s (595 docs/s)
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NB Multinomial classifier : 962 train docs ( 132 positive) 878 test docs ( 108 positive) accuracy: 0.877 in 1.65s (582 docs/s)
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Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in5.07s (771 docs/s)
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Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in5.07s (770 docs/s)
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SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in5.08s (770 docs/s)
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NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in5.11s (764 docs/s)
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Passive-Aggressive classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.946 in4.62s (845 docs/s)
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Perceptron classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.926 in4.63s (845 docs/s)
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SGD classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.945 in4.63s (844 docs/s)
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NB Multinomial classifier : 3911 train docs ( 517 positive) 878 test docs ( 108 positive) accuracy: 0.885 in4.67s (838 docs/s)
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Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in8.41s (811 docs/s)
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Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in8.41s (811 docs/s)
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SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in8.41s (810 docs/s)
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NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in8.45s (807 docs/s)
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Passive-Aggressive classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.951 in7.77s (877 docs/s)
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Perceptron classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.949 in7.78s (877 docs/s)
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SGD classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.938 in7.78s (876 docs/s)
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NB Multinomial classifier : 6821 train docs ( 891 positive) 878 test docs ( 108 positive) accuracy: 0.899 in7.81s (872 docs/s)
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Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in11.79s (827 docs/s)
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Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in11.80s (827 docs/s)
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SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in11.80s (827 docs/s)
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NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in11.84s (824 docs/s)
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Passive-Aggressive classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.964 in10.81s (902 docs/s)
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Perceptron classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.950 in10.82s (902 docs/s)
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SGD classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.958 in10.82s (902 docs/s)
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NB Multinomial classifier : 9759 train docs ( 1276 positive) 878 test docs ( 108 positive) accuracy: 0.909 in10.85s (899 docs/s)
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Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in14.79s (789 docs/s)
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Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in14.79s (789 docs/s)
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SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in14.80s (789 docs/s)
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NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in14.83s (787 docs/s)
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Passive-Aggressive classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in13.56s (861 docs/s)
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Perceptron classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in13.56s (861 docs/s)
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SGD classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.951 in13.56s (861 docs/s)
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NB Multinomial classifier : 11680 train docs ( 1499 positive) 878 test docs ( 108 positive) accuracy: 0.916 in13.60s (859 docs/s)
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Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in18.15s (805 docs/s)
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Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in18.15s (805 docs/s)
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SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in18.16s (805 docs/s)
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NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in18.19s (803 docs/s)
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Passive-Aggressive classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.966 in16.70s (875 docs/s)
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Perceptron classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.956 in16.71s (875 docs/s)
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SGD classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.954 in16.71s (875 docs/s)
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NB Multinomial classifier : 14625 train docs ( 1865 positive) 878 test docs ( 108 positive) accuracy: 0.926 in16.74s (873 docs/s)
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Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in21.31s (814 docs/s)
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Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in21.32s (814 docs/s)
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SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in21.32s (814 docs/s)
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NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in21.36s (812 docs/s)
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Passive-Aggressive classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.954 in19.66s (882 docs/s)
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Perceptron classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.957 in19.67s (882 docs/s)
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SGD classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.949 in19.67s (882 docs/s)
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NB Multinomial classifier : 17360 train docs ( 2179 positive) 878 test docs ( 108 positive) accuracy: 0.932 in19.70s (881 docs/s)
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‎dev/_sources/auto_examples/applications/plot_outlier_detection_housing.txt

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‎dev/_sources/auto_examples/applications/plot_prediction_latency.txt

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benchmarking with 500 features
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example run in 3.54s
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‎dev/_sources/auto_examples/applications/plot_species_distribution_modeling.txt

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‎dev/_sources/auto_examples/applications/plot_stock_market.txt

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‎dev/_sources/auto_examples/applications/plot_tomography_l1_reconstruction.txt

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‎dev/_sources/auto_examples/calibration/plot_calibration.txt

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‎dev/_sources/auto_examples/calibration/plot_calibration_curve.txt

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‎dev/_sources/auto_examples/classification/plot_classification_probability.txt

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‎dev/_sources/auto_examples/classification/plot_lda.txt

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shrinkage Linear Discriminant Analysis (1 discriminative feature)')
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‎dev/_sources/auto_examples/classification/plot_lda_qda.txt

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