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FeatureUnion — scikit-learn 1.5.2 documentation
n_jobs = None , transformer_weights = None , verbose = False ,...union = FeatureUnion ([( "pca" , PCA ( n_components = 1 )), ......scikit-learn.org/stable/modules/generated/sklearn.pipeline.FeatureUnion.html -
ClassifierMixin — scikit-learn 1.5.2 documentation
>>> estimator = MyEstimator ( param = 1 ) >>> X = np . array ([[...self , * , param = 1 ): ... self . param = param ... def fit...scikit-learn.org/stable/modules/generated/sklearn.base.ClassifierMixin.html -
map型プロパティ | DBFlute
@mapprop map: {AAA= BBB ; CCC = DDD } # {AAA=BBB;CCC=DDD} と同じ 定義値の中の空白や改行...@mapprop map: {AAA= BB B ; CCC = DD D } # {AAA=BBB;CCC=DD D} と同じ # 値の中の改行は保持されない...dbflute.seasar.org/ja/manual/reference/dfprop/mapprop.html -
1.4. Support Vector Machines — scikit-learn 1.5...
>>> X = [[ 0 , 0 ], [ 1 , 1 ]] >>> y = [ 0 , 1 ] >>> clf = svm...(default=’ovr’). >>> X = [[ 0 ], [ 1 ], [ 2 ], [ 3 ]] >>> Y = [ 0...scikit-learn.org/stable/modules/svm.html -
Birch — scikit-learn 1.5.2 documentation
threshold = 0.5 , branching_factor = 50 , n_clusters = 3 , compute_labels...compute_labels = True , copy = True ) [source] # Implements the...scikit-learn.org/stable/modules/generated/sklearn.cluster.Birch.html -
Nearest Centroid Classification — scikit-learn ...
c = y , cmap = cmap_bold , edgecolor = "k" , s = 20 ) plt...shrinkage , np . mean ( y == y_pred )) _ , ax = plt . subplots () DecisionBoundaryDisp...scikit-learn.org/stable/auto_examples/neighbors/plot_nearest_centroid.html -
set_config — scikit-learn 1.5.2 documentation
assume_finite = None , working_memory = None , print_changed_only = None...None , display = None , pairwise_dist_chunk_size = None , enabl...scikit-learn.org/stable/modules/generated/sklearn.set_config.html -
resample — scikit-learn 1.5.2 documentation
replace = True , n_samples = None , random_state = None , stratify...y , n_samples = 5 , replace = False , stratify = y , ... random_state...scikit-learn.org/stable/modules/generated/sklearn.utils.resample.html -
Ridge coefficients as a function of the L2 Regu...
w = make_regression ( n_samples = 100 , n_features = 10 ,...n_informative = 8 , coef = True , random_state = 1 ) # Obtain...scikit-learn.org/stable/auto_examples/linear_model/plot_ridge_coeffs.html -
Bisecting K-Means and Regular K-Means Performan...
data n_samples = 10000 random_state = 0 X , _ = make_blobs ( n_samples...n_samples = n_samples , centers = 2 , random_state = random_state...scikit-learn.org/stable/auto_examples/cluster/plot_bisect_kmeans.html