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Ability of Gaussian process regression (GPR) to...
title ( ( f "Initial: { kernel } \n Optimum:...\n Log-Marginal-Likelihood: " f " { gpr . log_marginal_likelihood...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html -
webpack-3c5e70c697526501.js
f={},r.e=e=>Promise.all(Object.keys(r.f).reduce((t...4);u.onerror=f.bind(null,u.onerror),u.onload=f.bind(null,u.o...www.digg.com/_next/static/chunks/webpack-3c5e70c697526501.js -
Visualizing the probabilistic predictions of a ...
predict_probas ): print ( f " { est_name } 's predicted probabilities:...average of soft-predictions: " f " { np . dot ( weights , predict_probas...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
Principal Component Regression vs Partial Least...
label = f "Component { i } " , linewidth = 5 , color = f "C { i...the mean of the target. print ( f "PCR r-squared { pcr . score (...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html -
Custom refit strategy of a grid search with cro...
target == 8 print ( f "The number of images is { X ....filtered_cv_results [ "params" ], ): print ( f "precision: { mean_precision :...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
Gaussian processes on discrete data structures ...
baseline_similarity_bounds ) def _f ( self , s1 , s2 ): """ kernel...return ( np . array ([[ self . _f ( x , y ) for y in Y ] for x in...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Semi-supervised Classification on a Text Datase...
"Supervised SGDClassifier on 100 % o f the data:" ) eval_and_print_metrics..."Supervised SGDClassifier on 20 % o f the training data:" ) eval_and_print_metrics...scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_newsgroups.html -
load_svmlight_file — scikit-learn 1.7.2 documen...
load_svmlight_file ( f , * , n_features=None , dtype=<class...mblondel/svmlight-loader Parameters : f str, path-like, file-like or int...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_file.html -
Recursive feature elimination with cross-valida...
n_features = 15 feat_names = [ f "feature_ { i } " for i in range...rfecv . fit ( X , y ) print ( f "Optimal number of features: {...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html -
Recognizing hand-written digits — scikit-learn ...
set_title ( f "Prediction: { prediction } "...classification metrics. print ( f "Classification report for classifier...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html