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Model Complexity Influence — scikit-learn 1.7.2...
"n_iter_no_change" : 2 , }, "changing_param" : "l1_ratio"..."tuned_params" : { "C" : 1e3 , "gamma" : 2 **- 15 }, "changing_param" : "nu"...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
RidgeClassifier — scikit-learn 1.7.2 documentation
2: Default value changed from 1e-3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.RidgeClassifier.html -
non_negative_factorization — scikit-learn 1.7.2...
||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
Imputing missing values before building an esti...
True ) mses_diabetes [ 2 ], stds_diabetes [ 2 ] = get_score ( X_miss_diabetes...mses_california [ 2 ], stds_california [ 2 ] = get_score ( X_miss_california...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
Blind source separation using FastICA — scikit-...
# Signal 2 : square signal s3 = signal . sawtooth ( 2 * np . pi...1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]]) # Mixing matrix...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html -
Effect of varying threshold for self-training —...
capsize = 2 , color = "b" ) ax1 . set_ylabel.... std ( axis = 1 ), capsize = 2 , color = "g" , ) ax2 . set_ylim...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
Compare Stochastic learning strategies for MLPC...
subplots ( 2 , 2 , figsize = ( 15 , 10 )) # load...0 , "learning_rate_init" : 0.2 , }, { "solver" : "sgd" , "learning_rate"...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html -
Demonstration of k-means assumptions — scikit-l...
subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 12 ))...plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12 , 12 ))...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
Precision-Recall — scikit-learn 1.7.2 documenta...
train_test_split ( X [ y < 2 ], y [ y < 2 ], test_size = 0.5 , random_state...display . ax_ . set_title ( "2-class Precision-Recall curve"...scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.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