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RFECV — scikit-learn 1.5.0 documentation
test) splits as arrays of indices....the following keys: split(k)_test_score ndarray of shape (n_s...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html -
ShrunkCovariance — scikit-learn 1.5.0 documenta...
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
GridSearchCV — scikit-learn 1.5.0 documentation
'rank_test_score', 'split0_test_score',... 'split2_test_score',...the attributes best_index_ , best_score_ and best_params_ will...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
RidgeCV — scikit-learn 1.5.0 documentation
test) splits as arrays of indices....shape (n_samples, n_features) Test samples. For some estimators...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeCV.html -
OpenAI function calling with Elasticsearch — El...
Bangalore") Once you are done with testing you can comment out the print...{json_resp}""") return json_resp Test function Let’s call weather_report()...www.elastic.co/search-labs/blog/function-calling-with-elastic -
mutual_info_regression — scikit-learn 1.5.0 doc...
scikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_regression.html -
LedoitWolf — scikit-learn 1.5.0 documentation
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
Installing the development version of scikit-le...
Test dependencies # Running tests requires: pytest...scikit-learn project build, test and upload wheel packages for...scikit-learn.org/stable/developers/advanced_installation.html -
make_regression — scikit-learn 1.5.0 documentation
scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
1.17. Neural network models (supervised) — scik...
transformation to test data >>> X_test = scaler . transform ( X_test ) An...apply the same scaling to the test set for meaningful results....scikit-learn.org/stable/modules/neural_networks_supervised.html