- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 1 - 10 of 942 for = (0.1 sec)
-
dict-16.png
PixelInterleaved width=1015, height=5271, bitDepth=8, colorType=RGBAlpha,...red=8, green=8, blue=8, alpha=8 RGB 8 8 8 8 5271 1 1.0 1 8 8 8...fess.codelibs.org/ja/_images/dict-16.png -
theme.min.css
}[class^=ai-],[class*=" ai-"],[class^=bi-],[class*=" bi-"]{d...t([type=date]):not([type=datetime-local]):not([type=month]):...fess.codelibs.org/_static/assets/css/theme.min.css -
Concatenating multiple feature extraction metho...
ents=1, features__univ_select__k=1, svm__C=0.1;, score=0.933...ents=1, features__univ_select__k=1, svm__C=0.1;, score=0.933...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html -
One-Class SVM versus One-Class SVM using Stocha...
X_outliers = rng . uniform ( low =- 4 , high = 4 , size = ( 20 ,...[:, 1 ], c = "white" , s = s , edgecolors = "k" ) b2 = plt . scatter...scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html -
Topic extraction with Non-negative Matrix Facto...
n_samples=2000 and n_features=1000, batch_size=128... done...features, n_samples=2000 and n_features=1000, batch_size=128... done...scikit-learn.org/stable/auto_examples/applications/plot_topics_extraction_with_nmf_lda.html -
Multi-dimensional scaling — scikit-learn 1.5.0 ...
n_components = 2 , max_iter = 3000 , eps = 1e-9 , random_state = seed...random_state = seed , n_jobs = 1 , n_init = 1 , ) npos = nmds . fit_transform...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Scaling the regularization parameter for SVCs —...
param_range = Cs , cv = cv , n_jobs = 2 , ) results [ label ] = test_scores...axes = plt . subplots ( nrows = 1 , ncols = 2 , sharey = True...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
Map data to a normal distribution — scikit-lear...
QuantileTransformer N_SAMPLES = 1000 FONT_SIZE = 6 BINS = 30 rng = np . random...distribution df = 3 X_chisq = rng . chisquare ( df = df , size = size )...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.html -
Features in Histogram Gradient Boosting Trees —...
electricity = fetch_openml ( name = "electricity" , version = 1 , as_frame...as_frame = True , parser = "pandas" ) df = electricity . frame...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html -
Quantile regression — scikit-learn 1.5.0 docume...
linspace ( start = 0 , stop = 10 , num = 100 ) X = x [:, np . newaxis...axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 15...scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html