- Sort Score
- Num 10 results
- Language All
- Labels All
Results 541 - 550 of over 10,000 for 1 (0.38 seconds)
-
Adjustment for chance in clustering performance...
mean ( axis = 1 ), scores . std ( axis = 1 ), alpha = 0.8 ,...scores , axis = 1 ), scores . std ( axis = 1 ), alpha = 0.8 ,...scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html -
GCP regions Asia East 1 (Taiwan), Europe North ...
regions Asia East 1 (Taiwan), Europe North 1 (Finland), and Europe...regions Asia East 1 (Taiwan), Europe North 1 (Finland), and Europe...www.elastic.co/guide/en/cloud-hosted/current/ec-release-notes-2020-05-05.html -
QuantileRegressor — scikit-learn 1.8.0 do...
alpha = 1.0 , fit_intercept = True , solver...User Guide . Added in version 1.0. Parameters : quantile float,...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html -
Polynomial and Spline interpolation — sci...
n_samples rows and degree + 1 columns: [[ 1 , x_0 , x_0 ** 2 , x_0...( X_plot )) axes [ 1 ] . legend ( axes [ 1 ] . lines , [ f "spline...scikit-learn.org/stable/auto_examples/linear_model/plot_polynomial_interpolation.html -
StaxUtils (Spring Framework 7.0.1 API)
due to JAXP 1.3 compatibility; relying on JAXP 1.4 as included...included in JDK 1.6 and higher. In particular, methods for using StAX...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/util/xml/StaxUtils.html -
Marvel Reference for 2.x and 1.x | Elastic
x and 1.x: 2.1 Marvel Reference for 2.x and 1.x: 2.0 Marvel...Reference for 2.x and 1.x Marvel Reference for 2.x and 1.x: 2.4 Marvel...www.elastic.co/guide/en/marvel/index.html -
QuantileTransformer — scikit-learn 1.8.0 ...
Added in version 1.5: The option None to disable...all strings. Added in version 1.0. See also quantile_transform...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html -
Robust covariance estimation and Mahalanobis di...
where feature 1 has a standard deviation equal to 1 and feature...np . arange ( 1 , n_features ), np . arange ( 1 , n_features )]...scikit-learn.org/stable/auto_examples/covariance/plot_mahalanobis_distances.html -
make_moons — scikit-learn 1.8.0 documenta...
scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html -
8.2. Real world datasets — scikit-learn 1...
1, 1, 1, 0, 1, 1, 0, 0, 0]) Converting...target [: 10 ]) [5, 6, 3, 1, 0, 1, 3, 4, 3, 0] The second loader...scikit-learn.org/stable/datasets/real_world.html