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Custom refit strategy of a grid search with cro...
'kernel': ['rbf']}, {'C': [1, 10, 100, 1000], 'kernel': ['linear']}],...'kernel': ['rbf']}, {'C': [1, 10, 100, 1000], 'kernel': ['linear']}],...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
Permutation Importance vs Random Forest Feature...
['age', 'sibsp', 'parch', 'fare', 'random_num'])], verbose_featur...['age', 'sibsp', 'parch', 'fare', 'random_num'])], verbose_featur...scikit-learn.org/stable/auto_examples/inspection/plot_permutation_importance.html -
Displaying estimators and complex pipelines — s...
('feat0', 'feat2'))]) pipeline-1 ('feat1', 'feat3') SimpleImputer...('feat1', 'feat3')), ('pipeline-2', Pipeline(steps=[('simpleimputer',...scikit-learn.org/stable/auto_examples/miscellaneous/plot_estimator_representation.html -
sklearn.neural_network.MLPRegressor — scikit-le...
activation {‘identity’, ‘logistic’, ‘tanh’, ‘relu’}, default=’relu’...x) solver {‘lbfgs’, ‘sgd’, ‘adam’}, default=’adam’ The solver...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
Visualizing the stock market structure — scikit...
history for 'AAPL' Fetching quote history for 'AIG' Fetching quote...history for 'AMZN' Fetching quote history for 'AXP' Fetching quote...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
sklearn.model_selection.ParameterGrid — scikit-...
= [{ 'kernel' : [ 'linear' ]}, { 'kernel' : [ 'rbf' ], 'gamma'...'kernel' : 'linear' }, ... { 'kernel' : 'rbf' , 'gamma' : 1 },...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html -
sklearn.mixture.BayesianGaussianMixture — sciki...
covariance_type {‘full’, ‘tied’, ‘diag’, ‘spherical’}, default=’full’ String...init_params {‘kmeans’, ‘k-means++’, ‘random’, ‘random_from_data’}, default=’kmeans’...scikit-learn.org/stable/modules/generated/sklearn.mixture.BayesianGaussianMixture.html -
Release Highlights for scikit-learn 1.1 — sciki...
['age', 'fare']), ('cat', OneHotEncoder(handle_unknown='ignore', ...['age', 'fare']), ('cat', OneHotEncoder(handle_unknown='ignore', ...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_1_0.html -
sklearn.preprocessing.MultiLabelBinarizer — sci...
array(['-', 'c', 'd', 'e', 'f', 'h', 'i', 'l', 'm', 'o', 'r', 's',...fit_transform ([{ 'sci-fi' , 'thriller' }, { 'comedy' }]) array([[0,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MultiLabelBinarizer.html -
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