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TUTORIAL
environment REST API Building a site using the REST API JSON and...fess.codelibs.org/tutorial.html -
Getting Started
fess.codelibs.org/getting-started.html -
Part 1: Getting Started with Fess
introduce how to use the full-text search server Fess to implement...Fess is an open source full-text search server that can handle...fess.codelibs.org/articles/1/document.html -
オープンソース全文検索サーバー - ニュース一覧
Fess で作るApache Solrベースの検索サーバー ~ REST API編 」が掲載されました 2010-12-19 Fess...fess.codelibs.org/ja/news.html -
Model selection: choosing estimators and their ...
X_digits [ test ], y_digits [ test ]) ... for train , test in k_fold..., y_train ) . score ( X_test , y_test )) >>> print ( scores )...scikit-learn.org/stable/tutorial/statistical_inference/model_selection.html -
Model Selection — scikit-learn 1.4.2 documentation
(ROC) Nested versus non-nested cross-validation Nested versus...Train error vs Test error Train error vs Test error Underfitting...scikit-learn.org/stable/auto_examples/model_selection/index.html -
sklearn.model_selection.KFold — scikit-learn 1....
estimates Nested versus non-nested cross-validation Nested versus...Provides train/test indices to split data in train/test sets. Split...scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html -
sklearn.neighbors.NearestCentroid — scikit-lear...
with test samples classified to the class...classification on an array of test vectors X . score (X, y[, sample_weight])...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
sklearn.model_selection.TimeSeriesSplit — sciki...
in train/test sets. In each split, test indices must be...n_splits=5, test_size=None) >>> for i , ( train_index , test_index...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
sklearn.naive_bayes.MultinomialNB — scikit-lear...
classification of text documents Out-of-core classification of text documents...classification on an array of test vectors X. predict_joint_log_proba...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html