- Sort Score
- Num 10 results
- Language All
- Labels All
Results 861 - 870 of over 10,000 for 2 (0.18 seconds)
Filter
-
L1-based models for Sparse Signals — scikit-lea...
linspace ( - 2 , 2 , n_samples ) freqs = 2 * np . pi * np ....time_step + 2 * ( rng . random_sample () - 0.5 )) X [:, i ] += 0.2 * rng...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html -
inplace_swap_column — scikit-learn 1.8.0 ...
2 , 2 ]) >>> data = np . array ([ 8 , 2 , 5 ])...>>> indptr = np . array ([ 0 , 2 , 3 , 3 , 3 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
3.4. Metrics and scoring: quantifying the quali...
y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 ] >>> r2_score...y_true = [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2 + 1e-8...scikit-learn.org/stable/modules/model_evaluation.html -
inplace_csr_column_scale — scikit-learn 1...
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_csr_column_scale.html -
RepeatedKFold — scikit-learn 1.8.0 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...RepeatedKFold ( n_splits = 2 , n_repeats = 2 , random_state = 2652124...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
7.3. Preprocessing data — scikit-learn 1.8.0 do...
2. , 1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1],...4.1, 6.7, 2.5], [7.7, 4.2, 6.7, 2.5], [7.9, 4.4, 6.9, 2.5]]) Thus...scikit-learn.org/stable/modules/preprocessing.html -
FastICA on 2D point clouds — scikit-learn 1.8.0...
subplot ( 2 , 2 , 2 ) plot_samples ( X / np ....1.5 , size = ( 20000 , 2 )) S [:, 0 ] *= 2.0 # Mix data A = np ....scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html -
RepeatedStratifiedKFold — scikit-learn 1.8.0 do...
index=[1 2] Fold 2: Train: index=[1 3] Test: index=[0 2] Fold 3:...np . array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
KFold — scikit-learn 1.8.0 documentation
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]]) >>>...array ([ 1 , 2 , 3 , 4 ]) >>> kf = KFold ( n_splits = 2 ) >>> kf...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html