- Sort Score
- Num 10 results
- Language All
- Labels All
Results 941 - 950 of over 10,000 for 2 (0.21 seconds)
Filter
-
linear_model.rst.txt
\frac{n}{2} \log(2 \pi) - \frac{n}{2} \log(\sigma^2) - \frac{\sum_{i=1}^{n}...- \hat{y}_i)^2}{2\sigma^2} where :math:`\sigma^2` is an estimate...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
8.3. Generated datasets — scikit-learn 1.8.0 do...
"n_clusters_per_class" : 2 , "n_classes" : 2 }, { "n_informative" : 2 , "n_clusters_per_class"...1 , "n_classes" : 2 }, { "n_informative" : 2 , "n_clusters_per_class"...scikit-learn.org/stable/datasets/sample_generators.html -
single_source_shortest_path_length — scik...
2: 2} >>> graph = np . ones...h ( graph , 2 ) . items ()) [(0, 1), (1, 1), (2, 0), (3, 1),...scikit-learn.org/stable/modules/generated/sklearn.utils.graph.single_source_shortest_path_length.... -
StratifiedShuffleSplit — scikit-learn 1.8.0 doc...
2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 ,...Test: index=[0 2 3] Fold 2: Train: index=[5 0 2] Test: index=[4...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
preprocessing.rst.txt
2. , 1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1],...4.1, 6.7, 2.5], [7.7, 4.2, 6.7, 2.5], [7.9, 4.4, 6.9, 2.5]]) Thus...scikit-learn.org/stable/_sources/modules/preprocessing.rst.txt -
RadiusNeighborsRegressor — scikit-learn 1.8.0 d...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...'auto' , leaf_size = 30 , p = 2 , metric = 'minkowski' , metric_params...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
KNeighborsRegressor — scikit-learn 1.8.0 docume...
array([[2]])) As you can see, it returns [[0.5]], and [[2]], which...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
Quickstart: Time series data stream basics | El...
"total": 2, "successful": 2, "failed":..."total": 2, "successful": 2, "failed":...www.elastic.co/docs/manage-data/data-store/data-streams/quickstart-tsds -
Model Complexity Influence — scikit-learn 1.8.0...
"n_iter_no_change" : 2 , }, "changing_param" : "l1_ratio"..."tuned_params" : { "C" : 1e3 , "gamma" : 2 **- 15 }, "changing_param" : "nu"...scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html -
Concentration Prior Type Analysis of Variation ...
normalization eig_vals = 2 * np . sqrt ( 2 ) * np . sqrt ( eig_vals...= 0.8 ) ax1 . set_xlim ( - 2.0 , 2.0 ) ax1 . set_ylim ( - 3.0...scikit-learn.org/stable/auto_examples/mixture/plot_concentration_prior.html