- Sort Score
- Num 10 results
- Language All
- Labels All
Results 131 - 140 of over 10,000 for 1 (1.61 seconds)
Filter
-
BaseEstimator — scikit-learn 1.8.0 docume...
array ([ 1 , 0 , 1 ]) >>> estimator...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
indexable — scikit-learn 1.8.0 documentation
[ 1 , 2 , 3 ], np . array ([ 2 , 3...>>> indexable ( * iterables ) [[1, 2, 3], array([2, 3, 4]), None,...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
1.16. Probability calibration — scikit-le...
model [ 4 ] : \[p(y_i = 1 | f_i) = \frac{1}{1 + \exp(A f_i + B)} \,,\]...e.g. using many more features. 1.16.1. Calibration curves # Calibration...scikit-learn.org/stable/modules/calibration.html -
ExtraTreesRegressor — scikit-learn 1.8.0 ...
min_samples_leaf = 1 , min_weight_fraction_leaf = 0.0 , max_features = 1.0 ,...e.g. 0.3. Changed in version 1.1: The default of max_features...scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesRegressor.html -
MDS — scikit-learn 1.8.0 documentation
n_init will change from 4 to 1 in version 1.9. init {‘random’, ‘classical_mds’},...Added in version 1.8. Changed in version 1.10: The default value...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html -
lars_path — scikit-learn 1.8.0 documentation
the case method=’lasso’ is: ( 1 / ( 2 * n_samples )) * || y -...equation (see discussion in [1] ). Read more in the User Guide...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lars_path.html -
d2_pinball_score — scikit-learn 1.8.0 doc...
Added in version 1.1. Parameters : y_true array-like...y_true = [ 1 , 2 , 3 ] >>> y_pred = [ 1 , 3 , 3 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_pinball_score.html -
inplace_column_scale — scikit-learn 1.8.0...
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...csr . todense () matrix([[8, 1, 2], [0, 0, 5], [0, 0, 0], [0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_column_scale.html -
gen_even_slices — scikit-learn 1.8.0 docu...
1, None), slice(1, 2, None), ..., slice(9,...list ( gen_even_slices ( 10 , 1 )) [slice(0, 10, None)] >>>...scikit-learn.org/stable/modules/generated/sklearn.utils.gen_even_slices.html -
OAS — scikit-learn 1.8.0 documentation
precision_ array([[ 1.7833, -1.2431 ], [-1.2431, 3.3889]]) >>>...the estimator. References [ 1 ] ( 1 , 2 ) “Shrinkage algorithms...scikit-learn.org/stable/modules/generated/sklearn.covariance.OAS.html