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Multiclass methods — scikit-learn 1.5.2 documen...
Examples concerning the sklearn.multiclass module. Overview of multiclass training meta-estimatorsscikit-learn.org/stable/auto_examples/multiclass/index.html -
is_classifier — scikit-learn 1.5.2 documentation
Skip to main content Back to top Ctrl + K GitHub is_classifier # sklearn.base. is_classifier ( estimator ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.base.is_classifier.html -
Dataset examples — scikit-learn 1.5.2 documenta...
Examples concerning the sklearn.datasets module. Plot randomly generated classification dataset Plot randomly generated multilabel dataset The Digit Dataset The Iris Datasetscikit-learn.org/stable/auto_examples/datasets/index.html -
'Meta's Newly Released Large Language Model Lla...
( Score: 2 ) by writes: Not for LLaMA-2, and it's under...credit." ( Score: 2 ) by writes: But LLaMA-2 weights are totally...news.slashdot.org/story/23/07/21/2111220/metas-newly-released-large-language-model-llama-2-is-not... -
top_k_accuracy_score — scikit-learn 1.5.2 docum...
2 , 2 ]) >>> y_score = np . array ([[ 0.5 , 0.2 , 0.2 ], #...top 2 ... [ 0.3 , 0.4 , 0.2 ], # 1 is in top 2 ... [ 0.2 , 0.4...scikit-learn.org/stable/modules/generated/sklearn.metrics.top_k_accuracy_score.html -
Release Highlights for scikit-learn 1.3 — sciki...
gamma ( shape = 2 , scale = np . exp ( X @ coef ) / 2 ) gbdt = HistGradientBoosting...] * 30 + [ 20.4 ] * 20 + [ 21.2 ] * 38 enc = TargetEncoder ( random_state...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html -
Plot the decision surfaces of ensembles of tree...
2 , w_pad = 0.2 , pad = 2.5 ) plt . show ()...pair in ([ 0 , 1 ], [ 0 , 2 ], [ 2 , 3 ]): for model in models...scikit-learn.org/stable/auto_examples/ensemble/plot_forest_iris.html -
Comparison of the K-Means and MiniBatchKMeans c...
2 ) for k , col in zip ( range (...scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html -
Map data to a normal distribution — scikit-lear...
figaspect ( 2 )) axes = axes . flatten () axes_idxs..., 9 ), ( 1 , 4 , 7 , 10 ), ( 2 , 5 , 8 , 11 ), ( 12 , 15 , 18...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html -
Scaling the regularization parameter for SVCs —...
logspace ( - 2.3 , - 1.3 , 10 ) train_sizes =...param_range = Cs , cv = cv , n_jobs = 2 , ) results [ label ] = test_scores...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html