- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 221 - 230 of 2,960 for 1 (0.08 sec)
-
Sum — scikit-learn 1.7.0 documentation
y ) 1.0 >>> kernel 1.41**2 + RBF(length_scale=1) __call__...kernel takes two kernels \(k_1\) and \(k_2\) and combines them...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Sum.html -
RandomizedSearchCV — scikit-learn 1.7.0 documen...
means 1 unless in a joblib.parallel_backend context. -1 means...… rank_test_score ‘rbf’ 0.1 0.80 … 1 ‘rbf’ 0.2 0.84 … 3 ‘rbf’...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RandomizedSearchCV.html -
RBF — scikit-learn 1.7.0 documentation
return_X_y = True ) >>> kernel = 1.0 * RBF ( 1.0 ) >>> gpc = GaussianProcessClass...ernels. RBF ( length_scale = 1.0 , length_scale_bounds = (1e-05,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html -
SpectralEmbedding — scikit-learn 1.7.0 document...
means 1 unless in a joblib.parallel_backend context. -1 means...If None, gamma will be set to 1/n_features. random_state int,...scikit-learn.org/stable/modules/generated/sklearn.manifold.SpectralEmbedding.html -
PatchExtractor — scikit-learn 1.7.0 documentation
1), it is taken to mean a proportion...load_sample_images () . images [ 1 ] >>> X = X [ None , ... ] >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.PatchExtractor.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
defined by: (1 - eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps) ||u...]0, 1[ and p is a projection by a random Gaussian N(0, 1) matrix...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
NeighborhoodComponentsAnalysis — scikit-learn 1...
If 1, progress messages will be printed to stdout. If > 1, progress...<= min(n_features, n_classes - 1) we use 'lda' , as it uses labels...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
WhiteKernel — scikit-learn 1.7.0 documentation
WhiteKernel ( noise_level = 1.0 , noise_level_bounds = (1e-05,...variance of this noise. \[k(x_1, x_2) = noise\_level \text{ if...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.WhiteKernel.html -
12.1. Array API support (experimental) — scikit...
1.1.1. PyTorch Support # PyTorch Tensors...Thomas Fan at PyData NYC 2023. 12.1.1. Example usage # Here is an example...scikit-learn.org/stable/modules/array_api.html -
5.1. Partial Dependence and Individual Conditio...
1.1. Partial dependence plots # Partial..., learning_rate = 1.0 , ... max_depth = 1 , random_state = 0...scikit-learn.org/stable/modules/partial_dependence.html