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blue=0 index=58, red=0, green=0, blue=0 index=59, red=0, green=0,...index=0, red=0, green=0, blue=0 index=1, red=186, green=7, blue=0...www.buzzfeed.com/static-assets/img/apple-touch-icon.186faa454878ee0d6582ba33b41d2044.png -
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 -
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 -
inplace_row_scale — scikit-learn 1.7.2 document...
indptr = np . array ([ 0 , 2 , 3 , 4 , 5 ]) >>> indices = np ....>>> data = np . array ([ 8 , 1 , 2 , 5 , 6 ]) >>> scale = np . array...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_row_scale.html -
Plotting Cross-Validated Predictions — scikit-l...
y = load_diabetes ( return_X_y = True ) lr = LinearRegression...y_pred = cross_val_predict ( lr , X , y , cv = 10 ) Since cv=10 ,...scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html -
load_files — scikit-learn 1.7.2 documentation
description = None , categories = None , load_content = True , shuffle...shuffle = True , encoding = None , decode_error = 'strict' , random_state...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_files.html -
区分値 (Classification) | DBFlute
codeType=String} ; map: {code=PRV;name=Provisional;alias=仮会員 ;c...{code=PRV;name=Provisional;alias=仮会員 ;comment= ... } ; map: {code=FML;name=Formalized...dbflute.seasar.org/ja/manual/function/genbafit/implfit/classification/index.html -
r2_score — scikit-learn 1.7.2 documentation
sample_weight = None , multioutput = 'uniform_average' ,...r2_score >>> y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0...scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html -
ShrunkCovariance — scikit-learn 1.7.2 documenta...
store_precision = True , assume_centered = False , shrinkage = 0.1 ) [source]...multivariate_normal ( mean = [ 0 , 0 ], ... cov = real_cov , ... size = 500 ) >>>...scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html -
OutputCodeClassifier — scikit-learn 1.7.2 docum...
code_size = 1.5 , random_state = None , n_jobs = None ) [source]..., y = make_classification ( n_samples = 100 , n_features = 4 ,...scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html
