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1.13. Feature selection — scikit-learn 1.4.2 do...
the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...scikit-learn.org/stable/modules/feature_selection.html -
Restricted Boltzmann Machine features for digit...
X_test , Y_train , Y_test = train_test_split ( X ,...sklearn.model_selection import train_test_split from sklearn.preprocessing...scikit-learn.org/stable/auto_examples/neural_networks/plot_rbm_logistic_classification.html -
Robust linear estimator fitting — scikit-learn ...
sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
Species distribution modeling — scikit-learn 1....
"ascii" ) points = dict ( test = test , train = train ) for label...species . pts_test [ "dd long" ], species . pts_test [ "dd lat"...scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
Gaussian processes on discrete data structures ...
) X_test = [ "AAA" , "ATAG" , "CTC" , "CT" , "C" ] Y_test = [...len ( X_test )), [ 1.0 if c else - 1.0 for c in Y_test ], s =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Failure of Machine Learning to infer causal eff...
X_test , y_train , y_test = train_test_split ( X ,...data into a training and a testing set. from sklearn.model_selection...scikit-learn.org/stable/auto_examples/inspection/plot_causal_interpretation.html -
Ordinary Least Squares and Ridge Regression Var...
plot ( X_test , clf . predict ( X_test ), color = "gray"...) ax . plot ( X_test , clf . predict ( X_test ), linewidth = 2...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge_variance.html -
Feature importances with a forest of trees — sc...
X_test , y_train , y_test = train_test_split ( X ,...permutation_importance ( forest , X_test , y_test , n_repeats = 10 , random_state...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_importances.html -
sklearn.utils.estimator_checks.check_estimator ...
function will run an extensive test-suite for input validation,...own estimator . Additional tests for classifiers, regressors,...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html -
Developing scikit-learn estimators — scikit-lea...
_skip_test (default=False) whether to skip common tests entirely....Numbers Numerical assertions in tests Developing scikit-learn estimators...scikit-learn.org/stable/developers/develop.html -
IsolationForest example — scikit-learn 1.4.2 do...
X_test , y_train , y_test = train_test_split ( X ,...sklearn.model_selection import train_test_split n_samples , n_outliers...scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html -
Recursive feature elimination with cross-valida...
"mean_test_score" ], yerr = rfecv . cv_results_ [ "std_test_score"...rfecv . cv_results_ [ "mean_test_score" ]) plt . figure () plt...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html -
Glossary of Common Terms and API Elements — sci...
common tests This refers to the tests run on almost every...(train_idx, test_idx) pairs. Each of {train,test}_idx is a 1d...scikit-learn.org/stable/glossary.html -
sklearn.preprocessing.maxabs_scale — scikit-lea...
splitting into training and test sets. This will bias the model...information would have leaked from the test set to the training set. In...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.maxabs_scale.html -
Elastic Observability [8.13] | Elastic
Write a synthetic test Write a synthetic test to check critical...browser monitors Write a synthetic test Configure individual monitors...www.elastic.co/guide/en/observability/current/index.html -
7 Best Streaming Devices Of 2023
To Avoid 6 Best Home Security Systems of 2023 7 Best Online Therapy...Therapy Platforms Of 2023 7 Best Pest Control Companies of 2023...digg.com/technology/streaming-services/best-streaming-devices -
Normal, Ledoit-Wolf and OAS Linear Discriminant...
for training n_test = 200 # samples for testing n_averages = 50...) X , y = generate_data ( n_test , n_features ) score_clf1 +=...scikit-learn.org/stable/auto_examples/classification/plot_lda.html -
Gaussian Mixture Model Selection — scikit-learn...
"mean_test_score" ] ] df [ "mean_test_score" ] = - df...estimator are stored in best_parameters_ and best_estimator_ , respectively....scikit-learn.org/stable/auto_examples/mixture/plot_gmm_selection.html -
sklearn.model_selection.check_cv — scikit-learn...
test) splits as arrays of indices....cross-validator which generates the train/test splits via the split method....scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html -
Sparsity Example: Fitting only features 1 and 2...
indices ] X_test = X [ - 20 :, indices ] y_train...y_train = y [: - 20 ] y_test = y [ - 20 :] Next we fit a linear...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_3d.html