- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 361 - 370 of 2,952 for 1 (0.45 sec)
-
ledoit_wolf — scikit-learn 1.6.1 documentation
regularized (shrunk) covariance is: (1 - shrinkage) * cov + shrinkage...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
Tweedie regression on insurance claims — scikit...
tweedie_powers = [ 1.5 , 1.7 , 1.8 , 1.9 , 1.99 , 1.999 , 1.9999 ] scores_product_model...dev p=1.9990 1.914573e+03 1.914370e+03 1.914538e+03 1.914387e+03...scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html -
2. Unsupervised learning — scikit-learn 1.6.1 d...
1. Gaussian mixture models 2.1.1. Gaussian Mixture 2.1.2....Mixture 2.2. Manifold learning 2.2.1. Introduction 2.2.2. Isomap 2.2.3....scikit-learn.org/stable/unsupervised_learning.html -
Demonstrating the different strategies of KBins...
]]) centers_1 = np . array ([[ 0 , 0 ], [ 3 , 1 ]]) # construct...strategies ) + 1 , i ) ax . scatter ( X [:, 0 ], X [:, 1 ], edgecolors...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_strategies.html -
Visualizing the stock market structure — scikit...
index ] = 1 dy = y - embedding [ 1 ] dy [ index ] = 1 this_dx =...alphas = np . logspace ( - 1.5 , 1 , num = 10 ) edge_model = covariance...scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html -
Agglomerative clustering with and without struc...
) t = 1.5 * np . pi * ( 1 + 3 * np . random . rand ( 1 , n_samples..."single" )): plt . subplot ( 1 , 4 , index + 1 ) model = AgglomerativeCluster...scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html -
Theil-Sen Regression — scikit-learn 1.6.1 docum...
than or equal to n_features + 1. The final slope and intercept...Linear model y = 3*x + N(2, 0.1**2) x = np . random . randn (...scikit-learn.org/stable/auto_examples/linear_model/plot_theilsen.html -
parametrize_with_checks — scikit-learn 1.6.1 do...
scikit-learn 1.6 Release Highlights for scikit-learn 1.6 Release...specific category. Added in version 1.6. expected_failed_checks callable,...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.parametrize_with_checks.... -
Version 0.21 — scikit-learn 1.6.1 documentation
threaded for n_jobs > 1 or n_jobs = -1 . #12955 by Prabakaran...linear_model.ARDRegression and Scipy>=1.3.0. Adapts to upstream changes...scikit-learn.org/stable/whats_new/v0.21.html -
Version 0.20 — scikit-learn 1.6.1 documentation
1} or {-1, 1} through pos_label parameter....PyPy3-v5.10+, Numpy 1.14.0+, and scipy 1.1.0+ are required. #11010...scikit-learn.org/stable/whats_new/v0.20.html