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SparseRandomProjection — scikit-learn 1.6.1 doc...
n_components = 'auto' , * , density = 'auto' , eps = 0.1 , dense_output...dense_output = False , compute_inverse_components = False , random_state...scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html -
Decision Boundaries of Multinomial and One-vs-R...
n_samples = 1_000 , centers = centers , random_state = 40 ) transformation..., ax = plt . subplots ( figsize = ( 6 , 4 )) scatter = ax . scatter...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html -
Poisson regression and non-normal loss — scikit...
axes = plt . subplots ( nrows = 2 , ncols = 4 , figsize = ( 16..., ax = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 12...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
OneHotEncoder — scikit-learn 1.6.1 documentation
categories='auto' , drop=None , sparse_output=True , dtype=<class...handle_unknown='error' , min_frequency=None , max_categories=None , ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
TunedThresholdClassifierCV — scikit-learn 1.6.1...
thresholds = 100 , cv = None , refit = True , n_jobs = None , random_state...weights = [ 0.9 , 0.1 ], class_sep = 0.8 , random_state = 42 ......scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
Multilabel classification — scikit-learn 1.6.1 ...
if transform == "pca" : X = PCA ( n_components = 2 ) . fit_transform...elif transform == "cca" : X = CCA ( n_components = 2 ) . fit ( X...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html -
Plot multi-class SGD on the iris dataset — scik...
mean ( axis = 0 ) std = X . std ( axis = 0 ) X = ( X - mean ) /...dataset X = iris . data [:, : 2 ] y = iris . target colors = "bry"...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_iris.html -
plot_multi_metric_evaluation.rst.txt
py: ========== Demonstration of multi-metric...cross_val_score and GridSearchCV ========== Multiple metric parameter...scikit-learn.org/stable/_sources/auto_examples/model_selection/plot_multi_metric_evaluation.rst.txt -
「0627〆【エンティティ】単語タグ付け作業-追加募集_0619」の仕事依頼【ジョブハブ】
＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝＝ 上記内容をご確認いただき、エントリー・提案をお願い致します。...jobhub.jp/jobs/39432 -
Plot class probabilities calculated by the Voti...
random_state = 123 ) clf2 = RandomForestClassifi ( n_estimators = 100..., random_state = 123 ) clf3 = GaussianNB () X = np . array ([[...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_probas.html