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Elastic Observability Labs
Ishleen Kaur Daniela Tzvetkova 2 May 2025 AWS Observability for...Paramasivam Daniela Tzvetkova 2 April 2025 OpenTelemetry APM Instrumentation...www.elastic.co/observability-labs -
RobustScaler — scikit-learn 1.7.1 documentation
- 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. , - 2. ]]...transform ( X ) array([[ 0. , -2. , 0. ], [-1. , 0. , 0.4], [ 1....scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html -
PowerTransformer — scikit-learn 1.7.1 documenta...
2 ], [ 3 , 2 ], [ 4 , 5 ]] >>> print...0 and lambda_ != 2 : X_original = 1 - ( - ( 2 - lambda_ ) * X...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PowerTransformer.html -
Stay in school, cause it's the best | MetaFilter
6+2 is 8, but what is 6 @#*” 2, where @#*” is some...TheWhiteSkull at 4:44 PM on July 10 [ 2 favorites ] I think the guy asked...www.metafilter.com/209525/Stay-in-school-cause-its-the-best -
lasso_path — scikit-learn 1.7.1 documentation
is: ( 1 / ( 2 * n_samples )) * || y - Xw ||^ 2_2 + alpha * ||...it is: ( 1 / ( 2 * n_samples )) * || Y - XW ||^ 2 _Fro + alpha...scikit-learn.org/stable/modules/generated/sklearn.linear_model.lasso_path.html -
TransformerMixin — scikit-learn 1.7.1 documenta...
2 ], [ 2 , 3 ], [ 3 , 4 ]] >>> transformer...scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html -
make_biclusters — scikit-learn 1.7.1 documentation
shape (2, 10) >>> cols . shape (2, 20) Gallery examples...shape = ( 10 , 20 ), n_clusters = 2 , random_state = 42 ... ) >>>...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html -
plot_hgbt_regression.ipynb
showcasing all points except 2 and 6 in a real life\nsetting.\n"...label=\"recorded average\", linewidth=2, ax=ax)\n\nfor idx, max_iter in...scikit-learn.org/stable/_downloads/cb9a8a373677fb481fe43a11d8fa0e94/plot_hgbt_regression.ipynb -
MLPRegressor — scikit-learn 1.7.1 documentation
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...validation_fraction = 0.1 , beta_1 = 0.9 , beta_2 = 0.999 , epsilon = 1e-08 , n_iter_no_change...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
PolynomialFeatures — scikit-learn 1.7.1 documen...
degree-2 polynomial features are [1, a, b, a^2, ab, b^2]. Read...etc. excluded: x[0] ** 2 , x[0] ** 2 * x[1] , etc. include_bias...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html