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LinearDiscriminantAnalysis — scikit-learn 1.7.0...
LinearDiscriminantAn ( solver = 'svd' , shrinkage = None , priors = None , n_components...n_components = None , store_covariance = False , tol = 0.0001 , ...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
Java - String | DBFlute
一つ飛ばして3文字 int len = name.length(); String ... = name. substring...@Java String name = "jflute" ; int index = name. indexOf ( "u"...dbflute.seasar.org/ja/manual/topic/programming/java/string.html -
ReplaceSchemaタスクのログ | DBFlute
- /= = = = = = = = = = = = = = = = = = = = = = = = = = = = =...- /= = = = = = = = = = = = = = = = = = = = = = = = = = = = =...dbflute.seasar.org/ja/manual/function/generator/task/replaceschema/logging.html -
plot_pca_iris.ipynb
projection=\"3d\", elev=-150, azim=110)\n\nX_reduced = PCA(n_c...PCA\n\nfig = plt.figure(1, figsize=(8, 6))\nax = fig.add_subplot(111,...scikit-learn.org/stable/_downloads/46b6a23d83637bf0f381ce9d8c528aa2/plot_pca_iris.ipynb -
LedoitWolf — scikit-learn 1.7.0 documentation
store_precision = True , assume_centered = False , block_size = 1000 )...], ... cov = real_cov , ... size = 50 ) >>> cov = LedoitWolf...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
Illustration of Gaussian process classification...
s = 30 , c = Y , cmap = plt . cm . Paired , edgecolors = ( 0...figsize = ( 10 , 5 )) kernels = [ 1.0 * RBF ( length_scale = 1.15...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_xor.html -
SGD: Maximum margin separating hyperplane — sci...
Y = make_blobs ( n_samples = 50 , centers = 2 , random_state...random_state = 0 , cluster_std = 0.60 ) # fit the model clf = SGDClassifier...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html -
harbor lastadoc
WithdrawalReason {SIT=SIT, PRD=PRD, FRT=FRT, OTH=OTH} 2 reasonInput...CDef.WithdrawalReason {SIT=SIT, PRD=PRD, FRT=FRT, OTH=OTH} 2 reasonInput...dbflute.seasar.org/ja/data/doc/harbor/lastadoc-harbor.html -
SelfTrainingClassifier — scikit-learn 1.7.0 doc...
ts ] = - 1 >>> svc = SVC ( probability = True , gamma = "auto"...estimator = None , base_estimator = 'deprecated' , threshold = 0.75...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html -
trustworthiness — scikit-learn 1.7.0 documentation
_ = make_blobs ( n_samples = 100 , n_features = 10 , centers...centers = 3 , random_state = 42 ) >>> X_embedded = PCA ( n_components...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html