sklearn.preprocessing.robust_scale()
  • References/Python/scikit-learn/API Reference/preprocessing

sklearn.preprocessing.robust_scale(X, axis=0, with_centering=True, with_scaling=True, quantile_range=(25.0, 75.0), copy=True)

2025-01-10 15:47:30
sklearn.metrics.accuracy_score()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.accuracy_score(y_true, y_pred, normalize=True, sample_weight=None)

2025-01-10 15:47:30
feature_selection.RFE()
  • References/Python/scikit-learn/API Reference/feature_selection

class sklearn.feature_selection.RFE(estimator, n_features_to_select=None, step=1, verbose=0)

2025-01-10 15:47:30
sklearn.metrics.log_loss()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.log_loss(y_true, y_pred, eps=1e-15, normalize=True, sample_weight=None, labels=None)

2025-01-10 15:47:30
sklearn.feature_selection.mutual_info_classif()
  • References/Python/scikit-learn/API Reference/feature_selection

sklearn.feature_selection.mutual_info_classif(X, y, discrete_features='auto', n_neighbors=3, copy=True, random_state=None)

2025-01-10 15:47:30
sklearn.metrics.brier_score_loss()
  • References/Python/scikit-learn/API Reference/metrics

sklearn.metrics.brier_score_loss(y_true, y_prob, sample_weight=None, pos_label=None)

2025-01-10 15:47:30
mixture.VBGMM()
  • References/Python/scikit-learn/API Reference/mixture

Warning DEPRECATED class sklearn

2025-01-10 15:47:30
gaussian_process.GaussianProcess()
  • References/Python/scikit-learn/API Reference/gaussian_process

Warning DEPRECATED

2025-01-10 15:47:30
sklearn.pipeline.make_union()
  • References/Python/scikit-learn/API Reference/pipeline

sklearn.pipeline.make_union(*transformers)

2025-01-10 15:47:30
sklearn.datasets.make_multilabel_classification()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.make_multilabel_classification(n_samples=100, n_features=20, n_classes=5, n_labels=2, length=50

2025-01-10 15:47:30