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Part 4: Natural Language Processing with Fess
$ pip install elasticsearch $ pip install numpy $ pip install...with the following command. $ pip install esanpy The usage method...fess.codelibs.org/articles/4/document.html -
Release Highlights for scikit-learn 1.0 — sciki...
LogisticRegression ()) pipe . fit ( X , y ) pipe [: - 1 ] . get_feature_names_out...the latest version (with pip): pip install -- upgrade scikit...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_0_0.html -
sklearn.feature_extraction.text.TfidfTransforme...
'one' ] >>> pipe = Pipeline ([( 'count' , CountVectorizer...TfidfTransformer ())]) . fit ( corpus ) >>> pipe [ 'count' ] . transform ( corpus...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
Release Highlights for scikit-learn 0.24 — scik...
the latest version (with pip): pip install -- upgrade scikit...fetch_covtype ( return_X_y = True ) pipe = make_pipeline ( MinMaxScaler...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
Putting it all together — scikit-learn 1.4.2 do...
1 ) pipe = Pipeline ( steps = [( "scaler"...), } search = GridSearchCV ( pipe , param_grid , n_jobs = 2 )...scikit-learn.org/stable/tutorial/statistical_inference/putting_together.html -
sklearn.preprocessing.quantile_transform — scik...
most risks of data leaking: pipe = make_pipeline(QuantileTransformer(),...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html -
sklearn.preprocessing.minmax_scale — scikit-lea...
most risks of data leaking: pipe = make_pipeline(MinMaxScaler(),...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html -
getting_started.rst.txt
create a pipeline object >>> pipe = make_pipeline( ... StandardScaler(),...# fit the whole pipeline >>> pipe.fit(X_train, y_train) Pipel...scikit-learn.org/stable/_sources/getting_started.rst.txt -
grid_search.rst.txt
tion import SelectKBest >>> pipe = Pipeline([ ... ('select',...8]} >>> search = GridSearchCV(pipe, param_grid, cv=5).fit(X, y)...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
One-Class SVM versus One-Class SVM using Stocha...
1e-4 ) pipe_sgd = make_pipeline ( transform , clf_sgd ) pipe_sgd...y_pred_train_sgd = pipe_sgd . predict ( X_train ) y_pred_test_sgd = pipe_sgd...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html