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PixelInterleaved width=16, height=16, bitDepth=8, colorType=GrayAlpha, ...whitePointX=31269, whitePointY=32899, redX=63999, redY=33001, greenX=30000,...cdn.digg.com/static/images/digg-favicon.png -
TunedThresholdClassifierCV — scikit-learn 1.7.1...
thresholds = 100 , cv = None , refit = True , n_jobs = None , random_state...weights = [ 0.9 , 0.1 ], class_sep = 0.8 , random_state = 42 ......scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html -
SkewedChi2Sampler — scikit-learn 1.7.1 document...
skewedness = 1.0 , n_components = 100 , random_state = None ) [source]...n_components = 10 , ... random_state = 0 ) >>> X_features = chi2_feature...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.SkewedChi2Sampler.html -
Label Propagation digits: Active learning — sci...
bottom = 0.03 , right = 0.9 , top = 0.9 , wspace = 0.2 , hspace...n_total_samples = len ( y ) n_labeled_points = 40 max_iterations = 5 unlabeled_indices...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits_active_learni... -
jaccard_score — scikit-learn 1.7.1 documentation
labels = None , pos_label = 1 , average = 'binary' , sample_weight...sample_weight = None , zero_division = 'warn' ) [source] # Jaccard...scikit-learn.org/stable/modules/generated/sklearn.metrics.jaccard_score.html -
SparseRandomProjection — scikit-learn 1.7.1 doc...
n_components = 'auto' , * , density = 'auto' , eps = 0.1 , dense_output...dense_output = False , compute_inverse_components = False , random_state...scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html -
Label Propagation digits: Demonstrating perform...
n_total_samples = len ( y ) n_labeled_points = 40 indices = np . arange...lp_model = LabelSpreading ( gamma = 0.25 , max_iter = 20 ) lp_model...scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html -
「0627〆【エンティティ】単語タグ付け作業-追加募集_0619」の仕事依頼【ジョブハブ】
jobhub.jp/jobs/39432 -
ComplementNB — scikit-learn 1.7.1 documentation
alpha = 1.0 , force_alpha = True , fit_prior = True , class_prior...class_prior = None , norm = False ) [source] # The Complement Naive...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.ComplementNB.html -
SpectralCoclustering — scikit-learn 1.7.1 docum...
n_clusters = 3 , * , svd_method = 'randomized' , n_svd_vecs = None...mini_batch = False , init = 'k-means++' , n_init = 10 , random_state...scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html