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sklearn.svm.SVR — scikit-learn 1.4.2 documentation
expected shape of X is (n_samples_test, n_samples_train). Returns :...shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html -
Classification of text documents using sparse f...
predict ( X_test ) test_time = time () - t0 print ( f "test time: {..., ) data_test = fetch_20newsgroups ( subset = "test" , categories...scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
sklearn.cross_decomposition.CCA — scikit-learn ...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
sklearn.linear_model.GammaRegressor — scikit-le...
n_features) Test samples. y array-like of shape...is averaged by sample_weight. Best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
1.7. Gaussian Processes — scikit-learn 1.4.2 do...
= noise\_level \text{ if } x_i == x_j \text{ else } 0\] 1.7.4.2....probabilistic classification, where test predictions take the form of...scikit-learn.org/stable/modules/gaussian_process.html -
sklearn.pipeline.Pipeline — scikit-learn 1.4.2 ...
X_test , y_train , y_test = train_test_split ( X ,..., y_train ) . score ( X_test , y_test ) 0.88 >>> # An estimator's...scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html -
sklearn.tree.DecisionTreeRegressor — scikit-lea...
splitter {“best”, “random”}, default=”best” The strategy used...Supported strategies are “best” to choose the best split and “random”...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
sklearn.linear_model.TweedieRegressor — scikit-...
n_features) Test samples. y array-like of shape...is averaged by sample_weight. Best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
Analyzing online search relevance metrics with ...
sophisticated tools such as A/B testing and result interleaving to...API in Elasticsearch blog post Test-Driven Relevance Tuning of Elasticsearch...www.elastic.co/blog/analyzing-online-search-relevance-metrics-with-the-elastic-stack -
sklearn.linear_model.BayesianRidge — scikit-lea...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.BayesianRidge.html -
sklearn.ensemble.BaggingRegressor — scikit-lear...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html -
sklearn.impute.SimpleImputer — scikit-learn 1.4...
missing values at transform/test time. keep_empty_features bool,...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.impute.SimpleImputer.html -
MetaFilter Projects
interactive text adventure A climate-fiction text adventure with...performed a study on myself to test this hypothesis. I lost a modest...projects.metafilter.com -
Semi-supervised Classification on a Text Datase...
X_test , y_train , y_test = train_test_split ( X ,..., X_train , y_train , X_test , y_test ): print ( "Number of training...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
sklearn.linear_model.RANSACRegressor — scikit-l...
the mean accuracy on the given test data, which is used for the...Attributes : estimator_ object Best fitted model (copy of the estimator...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RANSACRegressor.html -
2.6. Covariance estimation — scikit-learn 1.4.2...
then the test set is supposed to have the...scikit-learn.org/stable/modules/covariance.html -
sklearn.linear_model.HuberRegressor — scikit-le...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
8.2. Computational Performance — scikit-learn 1...
Here is sample code to test the sparsity of your input:...sparsify () clf . predict ( X_test ) In this example we prefer...scikit-learn.org/stable/computing/computational_performance.html -
Out-of-core classification of text documents — ...
- tick test_stats [ "n_test" ] += len ( y_test ) test_stats [...%(n_test)6d test docs ( %(n_test_pos)6d positive) " % test_stats...scikit-learn.org/stable/auto_examples/applications/plot_out_of_core_classification.html -
sklearn.gaussian_process.GaussianProcessRegress...
n_features) Test samples. For some estimators...theta .... # Returned are the best found hyperparameters theta...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html