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1.4. Support Vector Machines — scikit-learn 1.7...
>>> X = [[ 0 , 0 ], [ 1 , 1 ]] >>> y = [ 0 , 1 ] >>> clf = svm...random_state = 0 ) >>> clf = svm . SVC ( kernel = 'precomputed'...scikit-learn.org/stable/modules/svm.html -
check_estimator — scikit-learn 1.7.2 documentation
estimator = None , generate_only = False , * , legacy : bool = True...| None = None , on_skip : Literal [ 'warn' ] | None = 'warn'...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.check_estimator.html -
c1c0b5b485dba8e4.css
el_quotesCarousel__J8SuP [dir=rtl] .slick-slide{float:right}...el_quotesCarousel__J8SuP [dir=rtl] .slick-prev{right:-25px;l...www.elastic.co/_next/static/css/c1c0b5b485dba8e4.css -
MetaEstimatorMixin — scikit-learn 1.7.2 documen...
estimator = None ): ... self . estimator = estimator ......estimator_ = self . estimator ... return self >>> X , y = load_iris...scikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html -
median_absolute_error — scikit-learn 1.7.2 docu...
multioutput = 'uniform_average' , sample_weight = None ) [source]... >>> y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0...scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html -
calibration_curve — scikit-learn 1.7.2 document...
pos_label = None , n_bins = 5 , strategy = 'uniform' ) [source]...prob_pred = calibration_curve ( y_true , y_pred , n_bins = 3 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.calibration.calibration_curve.html -
ReplaceSchema実行前の調整 | DBFlute
arrangeBeforeRepsMap = map: { ; copy = map: { ; ../erd/foo.ddl = ./playsq...arrangeBeforeRepsMap = map: { ; copy = map: { ; ../erd/*.ddl = ./playsql...dbflute.seasar.org/ja/manual/function/generator/task/replaceschema/arrangebeforereps.html -
make_sparse_coded_signal — scikit-learn 1.7.2 d...
n_components = 100 , ... n_features = 10 , ... n_nonzero_coefs = 4 , ......dictionary , code = make_sparse_coded_signal ( ... n_samples = 50 , ......scikit-learn.org/stable/modules/generated/sklearn.datasets.make_sparse_coded_signal.html -
ledoit_wolf_shrinkage — scikit-learn 1.7.2 docu...
>>> X = rng . multivariate_normal ( mean = [ 0 , 0 ], cov = real_cov...X , assume_centered = False , block_size = 1000 ) [source] # Estimate...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf_shrinkage.html -
load_digits — scikit-learn 1.7.2 documentation
n_class = 10 , return_X_y = False , as_frame = False ) [source]...Parameters : n_class int, default=10 The number of classes to return....scikit-learn.org/stable/modules/generated/sklearn.datasets.load_digits.html