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sklearn.neural_network.MLPRegressor — scikit-le...
returns f(x) = x ‘logistic’, the logistic...logistic sigmoid function, returns f(x) = 1 / (1 + exp(-x)). ‘tanh’,...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
3.3. Metrics and scoring: quantifying the quali...
The F-measure ( \(F_\beta\) and \(F_1\) measures) can...score, also known as balanced F-score or F-measure. fbeta_score (y_true,...scikit-learn.org/stable/modules/model_evaluation.html -
sklearn.model_selection.StratifiedShuffleSplit ...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
sklearn.metrics.precision_score — scikit-learn ...
imbalance; it can result in an F-score that is not between precision...t Compute precision, recall, F-measure and support for each class....scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_score.html -
sklearn.model_selection.GroupKFold — scikit-lea...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index ] } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
sklearn.feature_extraction.FeatureHasher — scik...
'run' : 5 }] >>> f = h . transform ( D ) >>> f . toarray () array([[..."bird" ]] >>> f = h . transform ( raw_X ) >>> f . toarray () array([[...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
sklearn.model_selection.GroupShuffleSplit — sci...
print ( f "Fold { i } :" ) ... print ( f " Train: index=...train_index ] } " ) ... print ( f " Test: index= { test_index }...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
1.17. Neural network models (supervised) — scik...
algorithm that learns a function \(f(\cdot): R^m \rightarrow R^o\)...neuron MLP learns the function \(f(x) = W_2 g(W_1^T x + b_1) + b_2\)...scikit-learn.org/stable/modules/neural_networks_supervised.html -
sklearn.feature_selection.chi2 — scikit-learn 1...
See also f_classif ANOVA F-value between label/feature...for classification tasks. f_regression F-value between label/feature...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
plot_release_highlights_1_4_0.py
decision_function(X_test) print(f"ROC AUC score is {roc_auc_score(y_test,...nsform(df) df_out # %% print(f"Output type: {type(df_out)}")...scikit-learn.org/stable/_downloads/c15cce0dbcd8722cb5638987eff985c0/plot_release_highlights_1_4_0.py