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GaussianNB — scikit-learn 1.6.1 documentation
classification on an array of test vectors X. Parameters : X array-like...probability estimates for the test vector X. For each row x of...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.GaussianNB.html -
plot_classifier_comparison.ipynb
y_test = train_test_split(\n X, y, test_size=0.4, random_state=42\n...the testing points\n ax.scatter(\n X_test[:, 0], X_test[:, 1],...scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb -
model_evaluation.rst.txt
ratio (pre-test and post-tests): .. math:: \text{post-test odds} =...\frac{\text{pre-test probability}}{1 - \text{pre-test probability}},...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt -
plot_hgbt_regression.rst.txt
import train_test_split X_train, X_test, y_train, y_test = train_test_split(X,...train_test_split(X, y, test_size=0.4, shuffle=False) print(f"Training...scikit-learn.org/stable/_sources/auto_examples/ensemble/plot_hgbt_regression.rst.txt -
ShrunkCovariance — scikit-learn 1.6.1 documenta...
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
Infrastructure monitoring with Elastic Observab...
Learn more Synthetic monitoring Test user journeys to deliver a great...www.elastic.co/observability/infrastructure-monitoring -
Elastic Observability Serverless pricing | Elastic
0123 /test run Optional Synthetic lightweight testing locations...metrics, traces, and synthetic test results — while leveraging core...www.elastic.co/pricing/serverless-observability -
Installing the development version of scikit-le...
Test dependencies # Running tests requires: pytest...scikit-learn project build, test and upload wheel packages for...scikit-learn.org/stable/developers/advanced_installation.html -
OAS — scikit-learn 1.6.1 documentation
: X_test array-like of shape (n_samples, n_features) Test data...the observations. score ( X_test , y = None ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html -
cross_val_predict — scikit-learn 1.6.1 document...
sample belongs to exactly one test set, and its prediction is computed...cross_val_score unless all tests sets have equal size and the...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html