- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 971 - 980 of 2,013 for = (0.11 sec)
-
SparseRandomProjection — scikit-learn 1.7.0 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 -
OneHotEncoder — scikit-learn 1.7.0 documentation
categories='auto' , drop=None , sparse_output=True , dtype=<class...handle_unknown='error' , min_frequency=None , max_categories=None , ...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html -
TunedThresholdClassifierCV — scikit-learn 1.7.0...
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 -
「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 -
PoissonRegressor — scikit-learn 1.7.0 documenta...
max_iter = 100 , tol = 0.0001 , warm_start = False , verbose = 0 )...* , alpha = 1.0 , fit_intercept = True , solver = 'lbfgs' , max_iter...scikit-learn.org/stable/modules/generated/sklearn.linear_model.PoissonRegressor.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... -
TfidfTransformer — scikit-learn 1.7.0 documenta...
norm = 'l2' , use_idf = True , smooth_idf = True , sublinear_tf...as idf(t) = log [ n / df(t) ] + 1 (if smooth_idf=False ), where...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfTransformer.html -
orthogonal_mp — scikit-learn 1.7.0 documentation
n_nonzero_coefs = None , tol = None , precompute = False , copy_X = True...>>> X , y = make_regression ( noise = 4 , random_state = 0 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp.html -
fowlkes_mallows_score — scikit-learn 1.7.0 docu...
sparse = 'deprecated' ) [source] # Measure...the precision and recall: FMI = TP / sqrt (( TP + FP ) * ( TP...scikit-learn.org/stable/modules/generated/sklearn.metrics.fowlkes_mallows_score.html -
RFECV — scikit-learn 1.7.0 documentation
step = 1 , min_features_to_select = 1 , cv = None , scoring...scoring = None , verbose = 0 , n_jobs = None , importance_getter...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFECV.html