ensemble.RandomForestClassifier()
  • References/Python/scikit-learn/API Reference/ensemble

class sklearn.ensemble.RandomForestClassifier(n_estimators=10, criterion='gini', max_depth=None, min_samples_split=2, min_samples_leaf=1

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

sklearn.metrics.explained_variance_score(y_true, y_pred, sample_weight=None, multioutput='uniform_average')

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

sklearn.model_selection.permutation_test_score(estimator, X, y, groups=None, cv=None, n_permutations=100, n_jobs=1

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

Warning DEPRECATED

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

class sklearn.covariance.EmpiricalCovariance(store_precision=True, assume_centered=False)

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

class sklearn.cross_decomposition.PLSSVD(n_components=2, scale=True, copy=True)

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

sklearn.datasets.make_gaussian_quantiles(mean=None, cov=1.0, n_samples=100, n_features=2, n_classes=3, shuffle=True, r

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

sklearn.datasets.make_biclusters(shape, n_clusters, noise=0.0, minval=10, maxval=100, shuffle=True, random_state=None)

2025-01-10 15:47:30
sklearn.datasets.fetch_rcv1()
  • References/Python/scikit-learn/API Reference/datasets

sklearn.datasets.fetch_rcv1(data_home=None, subset='all', download_if_missing=True, random_state=None, shuffle=False)

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

class sklearn.semi_supervised.LabelPropagation(kernel='rbf', gamma=20, n_neighbors=7, alpha=1, max_iter=30, tol=0.001, n_jobs=1)

2025-01-10 15:47:30