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explained_variance_score — scikit-learn 1.8.0 d...
1 ], [ - 1 , 1 ], [ 7 , - 6 ]] >>> y_pred...cross-validation). Added in version 1.1. Returns : score float or ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
Nearest Neighbors regression — scikit-learn 1.8...
1 , i + 1 ) plt . scatter ( X_train...sort ( 5 * rng . rand ( 40 , 1 ), axis = 0 ) X_test = np . linspace...scikit-learn.org/stable/auto_examples/neighbors/plot_regression.html -
OneHotEncoder — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...'Female' , 1 ], [ 'Male' , 4 ]]) . toarray () array([[1., 0., 1., 0.,...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
Version 0.15 — scikit-learn 1.8.0 documentation
Ben-Meshulam 1 Yury V. Zaytsev 1 adrinjalali 1 ai8rahim 1 alemagnani 1 alex...jamestwebber 1 matrixorz 1 popo 1 samuela 1 François Boulogne 1 Alexander...scikit-learn.org/stable/whats_new/v0.15.html -
trustworthiness — scikit-learn 1.8.0 documentation
1]. It is defined as \[T(k) = 1 - \frac{2}{nk (2n...(2n - 3k - 1)} \sum^n_{i=1} \sum_{j \in \mathcal{N}_{i}^{k}}...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
smacof — scikit-learn 1.8.0 documentation
n_iter will change from 8 to 1 in version 1.9. n_jobs int, default=None...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
GradientBoostingRegressor — scikit-learn 1.8.0 ...
1 , n_estimators = 100 , subsample = 1.0 , criterion...in the range [1, inf) . subsample float, default=1.0 The fraction...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingRegressor.html -
RandomForestRegressor — scikit-learn 1.8.0 docu...
min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...e.g. 0.3. Changed in version 1.1: The default of max_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestRegressor.html -
Perceptron — scikit-learn 1.8.0 documentation
l1_ratio <= 1 . l1_ratio=0 corresponds to L2 penalty, l1_ratio=1 to L1....means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron.html -
DictVectorizer — scikit-learn 1.8.0 documentation
[{ 'foo' : 1 , 'bar' : 2 }, { 'foo' : 3 , 'baz' : 1 }] >>> X =...) >>> X array([[2., 0., 1.], [0., 1., 3.]]) >>> v . inverse_transform...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.DictVectorizer.html