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Upgrading | APM .NET Agent Reference [1.x] | El...
like from 1.1 to 1.2 are always backwards compatible....www.elastic.co/guide/en/apm/agent/dotnet/current/upgrading.html -
Sample pipeline for text feature extraction and...
array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06]), 'vect__max_df':...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html -
orthogonal_mp_gram — scikit-learn 1.5.2 documen...
) >>> X [: 1 ,] @ coef array([-78.68...]) On...scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp_gram.html -
Varying regularization in Multi-layer Perceptro...
logspace ( - 1 , 1 , 5 ) classifiers = [] names..., y_max = X [:, 1 ] . min () - 0.5 , X [:, 1 ] . max () + 0.5...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html -
Comparison of Manifold Learning methods — sciki...
MultipleLocator ( 1 )) ax . yaxis . set_major_locator...( ticker . MultipleLocator ( 1 )) ax . zaxis . set_major_locator...scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html -
HTTP configuration options | APM .NET Agent Ref...
CaptureBody (performance) ( [ 1.0.1 ] Added in 1.0.1. ) For transactions... (performance) ( [ 1.0.1 ] Added in 1.0.1. ) Configures the content...www.elastic.co/guide/en/apm/agent/dotnet/current/config-http.html -
MNIST classification using multinomial logistic...
version = 1 , return_X_y = True , as_frame...reshape (( X . shape [ 0 ], - 1 )) X_train , X_test , y_train...scikit-learn.org/stable/auto_examples/linear_model/plot_sparse_logistic_regression_mnist.html -
Explicit feature map approximation for RBF kern...
reshape ( - 1 , data . shape [ 1 ]) # title for the plots...y_max]. plt . subplot ( 1 , 3 , i + 1 ) Z = clf . predict ( flat_grid...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
Demo of OPTICS clustering algorithm — scikit-le...
subplot ( G [ 1 , 0 ]) ax3 = plt . subplot ( G [ 1 , 1 ]) ax4 = plt...labels_ == - 1 , 0 ], X [ clust . labels_ == - 1 , 1 ], "k+" , alpha...scikit-learn.org/stable/auto_examples/cluster/plot_optics.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