- Sort Score
- Num 10 results
- Language All
- Labels All
Results 1371 - 1380 of over 10,000 for 2 (1.69 seconds)
Filter
-
mean_poisson_deviance — scikit-learn 1.8....
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....2. ] >>> mean_poisson_deviance ( y_true , y_pred ) 1.4260......scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
Matern — scikit-learn 1.8.0 documentation
\frac{1}{\Gamma(\nu)2^{\nu-1}}\Bigg( \frac{\sqrt{2\nu}}{l} d(x_i ,...the RBF kernel. When \(\nu = 1/2\) , the Matérn kernel becomes...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html -
FeatureHasher — scikit-learn 1.8.0 docume...
'cat' : 2 , 'elephant' : 4 },{ 'dog' : 2 , 'run'...0., 0., 0., 0., 0., 2.], [ 0., 0., 0., -2., -5., 0., 0., 0., 0.,...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.FeatureHasher.html -
Kernel — scikit-learn 1.8.0 documentation
length_scale = 2.0 ) >>> X = np . array ([[ 1 , 2 ], [ 3 ,..., X if Y is None else Y ) ** 2 ... def diag ( self , X ): ......scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Kernel.html -
SVM Tie Breaking Example — scikit-learn 1...
2 ), ( 1 , 2 )] line = np . linspace...fig , sub = plt . subplots ( 2 , 1 , figsize = ( 5 , 8 )) titles...scikit-learn.org/stable/auto_examples/svm/plot_svm_tie_breaking.html -
k_means — scikit-learn 1.8.0 documentation
2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2 ], [ 10 , 4...>>> centroid array([[10., 2.], [ 1., 2.]]) >>> label array([1,...scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html -
d2_brier_score — scikit-learn 1.8.0 docum...
labels = None ) [source] # \(D^2\) score function, fraction of...features. The null model gets a D^2 score of 0.0. Read more in the...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_brier_score.html -
ledoit_wolf — scikit-learn 1.8.0 document...
2 ], [ .2 , .8 ]]) >>> rng...scikit-learn.org/stable/modules/generated/sklearn.covariance.ledoit_wolf.html -
Gradient Boosting regression — scikit-lea...
2 , 2 ) # `labels` argument in boxplot...permutation methods identify the same 2 strongly predictive features but...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Product — scikit-learn 1.8.0 documentation
= Product ( ConstantKernel ( 2 ), RBF ()) >>> gpr =...1.0 >>> kernel 1.41**2 * RBF(length_scale=1) __call__...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html