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Recognizing hand-written digits — scikit-learn ...
and 50% test subsets X_train , X_test , y_train , y_test = train_test_split...train_test_split ( data , digits . target , test_size = 0.5 , shuffle...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html -
Early stopping in Gradient Boosting — scikit-le...
y_val = train_test_split ( X , y , test_size = 0.2 , random_state...sklearn.model_selection import train_test_split data = fetch_california_housing...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html -
Poisson regression and non-normal loss — scikit...
df_test = train_test_split ( df , test_size = 0.33 ,...df_test [ "Frequency" ], df_test [ "Frequency" ], df_test [ "Exposure"...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
Elastic Observability [8.19] | Elastic
Write a synthetic test Write a synthetic test to check critical...browser monitors Write a synthetic test Configure individual monitors...www.elastic.co/guide/en/observability/8.19/index.html -
Visualization of MLP weights on MNIST — scikit-...
partition and test partition X_train , X_test , y_train , y_test = train_test_split...print ( "Test set score: %f " % mlp . score ( X_test , y_test )) fig...scikit-learn.org/stable/auto_examples/neural_networks/plot_mnist_filters.html -
Version 0.20 — scikit-learn 1.7.2 documentation
text.CountVectorizer and other text vectorizers could...feature_extraction.text.CountVectorizer , feature_extraction.text.TfidfVectorizer...scikit-learn.org/stable/whats_new/v0.20.html -
ConfusionMatrixDisplay — scikit-learn 1.7.2 doc...
X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.metrics.ConfusionMatrixDisplay.html -
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Species distribution modeling — scikit-learn 1....
"ascii" ) points = dict ( test = test , train = train ) for label...species . pts_test [ "dd long" ], species . pts_test [ "dd lat"...scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html -
Issue Tracking
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