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mean_absolute_percentage_error — scikit-learn 1...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>> m...1. , 0. , 2.4 , 7. ] >>> y_pred = [ 1.2 , 0.1 , 2.4 , 8. ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_percentage_error.html -
Bunch — scikit-learn 1.7.0 documentation
b = 2 ) >>> b [ 'b' ] 2 >>> b . b 2 >>> b . a = 3 >>>...return a (key, value) pair as a 2-tuple. Pairs are returned in LIFO...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
auc — scikit-learn 1.7.0 documentation
2 , 2 ]) >>> y_score = np . array...y_true , y_score , pos_label = 2 ) >>> metrics . auc ( fpr , tpr...scikit-learn.org/stable/modules/generated/sklearn.metrics.auc.html -
TheilSenRegressor — scikit-learn 1.7.0 document...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_samples = 200 , n_features = 2 , noise = 4.0 , random_state =...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html -
RationalQuadratic — scikit-learn 1.7.0 document...
x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\] where...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.8881, 0.0566, 0.05518],...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
Better Binary Quantization (BBQ) in Lucene and ...
( 1 < < 0 ) + ( 2 < < 1 ) + ( 1 < < 2 ) + ( 2 < < 3 ) = 25 = ...\newline = (1 << 0) + (2 << 1) + (1 << 2) + (2 << 3) \newline = 25...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch -
Release Highlights for scikit-learn 0.24 — scik...
2. From 1.2, use # PartialDependenceDis..."min_samples_split" : randint ( 2 , 11 ), "bootstrap" : [ True ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
ElasticNetCV — scikit-learn 1.7.0 documentation
objective is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...it is: 1 / ( 2 * n_samples ) * || y - Xw ||^ 2_2 + alpha * l1_ratio...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
DecisionTreeRegressor — scikit-learn 1.7.0 docu...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...= None , min_samples_split = 2 , min_samples_leaf = 1 , min_...scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html -
It's time to win | MetaFilter
Kitteh at 6:36 AM on May 15 [ 2 favorites ] Will this mean that...scruss at 6:40 AM on May 15 [ 2 favorites ] Erskine-Smith was...www.metafilter.com/208782/Its-time-to-win