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「0627〆【エンティティ】単語タグ付け作業-追加募集-(15)」の仕事依頼【ジョブハブ】
jobhub.jp/jobs/39360 -
f1_score — scikit-learn 1.7.0 documentation
labels = None , pos_label = 1 , average = 'binary' , sample_weight...sample_weight = None , zero_division = 'warn' ) [source] # Compute...scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html -
IncrementalPCA — scikit-learn 1.7.0 documentation
n_components = None , * , whiten = False , copy = True , batch_size..., _ = load_digits ( return_X_y = True ) >>> transformer = IncrementalPCA...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
LarsCV — scikit-learn 1.7.0 documentation
precompute = 'auto' , cv = None , max_n_alphas = 1000 , n_jobs = None...fit_intercept = True , verbose = False , max_iter = 500 , precompute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
FactorAnalysis — scikit-learn 1.7.0 documentation
n_components = None , * , tol = 0.01 , copy = True , max_iter = 1000...noise_variance_init = None , svd_method = 'randomized' , iterated_power = 3 ,...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html -
AdaBoostClassifier — scikit-learn 1.7.0 documen...
special cases with k == 1 , otherwise k==n_classes . For binary...special cases with k == 1 , otherwise k==n_classes . For binary...scikit-learn.org/stable/modules/generated/sklearn.ensemble.AdaBoostClassifier.html -
Visualizations with Display Objects — scikit-le...
y = fetch_openml ( data_id = 1464 , return_X_y = True )...y_test = train_test_split ( X , y , stratify = y ) clf = make_pipeline...scikit-learn.org/stable/auto_examples/miscellaneous/plot_display_object_visualization.html -
fetch_20newsgroups — scikit-learn 1.7.0 documen...
download_if_missing = True , return_X_y = False , n_retries = 3 , delay = 1.0...data_home = None , subset = 'train' , categories = None , shuffle...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.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 -
minmax_scale — scikit-learn 1.7.0 documentation
feature_range = (0, 1) , * , axis = 0 , copy = True ) [source]...by (when axis=0 ): X_std = ( X - X . min ( axis = 0 )) / ( X ....scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html