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sklearn.calibration — scikit-learn 1.7.2 docume...
Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:scikit-learn.org/stable/api/sklearn.calibration.html -
FeatureUnion — scikit-learn 1.7.2 documentation
n_components = 2 ))]) >>> X = [[ 0. , 1. , 3 ], [ 2. , 2. , 5 ]] >>>...parameters. Added in version 1.2. n_features_in_ int Number of...scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
OutputCodeClassifier — scikit-learn 1.7.2 docum...
Artificial Intelligence Research 2, 1995. [ 2 ] “The error coding method...n_features = 4 , ... n_informative = 2 , n_redundant = 0 , ... random_state...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html -
Faces recognition example using eigenfaces and ...
for machine learning we use the 2 data directly (as relative pixel...figure ( figsize = ( 1.8 * n_col , 2.4 * n_row )) plt . subplots_adjust...scikit-learn.org/stable/auto_examples/applications/plot_face_recognition.html -
PoissonRegressor — scikit-learn 1.7.2 documenta...
determination R^2. R^2 uses squared error and D^2 uses the deviance...PoissonRegressor () >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.html -
MinMaxScaler — scikit-learn 1.7.2 documentation
transform ([[ 2 , 2 ]])) [[1.5 0. ]] fit ( X , y...MinMaxScaler >>> data = [[ - 1 , 2 ], [ - 0.5 , 6 ], [ 0 , 10 ],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MinMaxScaler.html -
roc_curve — scikit-learn 1.7.2 documentation
2 , 2 ]) >>> scores = np . array ([...Returns : fpr ndarray of shape (>2,) Increasing false positive rates...scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_curve.html -
PLSRegression — scikit-learn 1.7.2 documentation
[ 2. , 2. , 2. ], [ 2. , 5. , 4. ]] >>> y =...= [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ], [ 11.9 , 12.3...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSRegression.html -
rand_score — scikit-learn 1.7.2 documentation
of Classification 2, 193–218 (1985). . [ 2 ] Wikipedia: Simple...predicted and true clusterings [1] [2] . The raw RI score [3] is: RI...scikit-learn.org/stable/modules/generated/sklearn.metrics.rand_score.html -
top_k_accuracy_score — scikit-learn 1.7.2 docum...
2 , 2 ]) >>> y_score = np . array ([[ 0.5 , 0.2 , 0.2 ], #...top 2 ... [ 0.3 , 0.4 , 0.2 ], # 1 is in top 2 ... [ 0.2 , 0.4...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html