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sklearn.inspection — scikit-learn 1.7.2 documen...
top Ctrl + K GitHub Choose version sklearn.inspection # Tools for...evaluation [Rd9e56ef97513-BRE] . Plotting # DecisionBoundaryDisp...scikit-learn.org/stable/api/sklearn.inspection.html -
DistanceMetric — scikit-learn 1.7.2 documentation
pairwise ( X , Y ) array([[7.81..., 10.63...] [5.65..., 8.48...] [1.41...,...arcsin(sqrt(sin^2(0.5*dx) + cos(x1)cos(x2)sin^2(0.5*dy))) Metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
cohen_kappa_score — scikit-learn 1.7.2 document...
= [ "negative" , "positive" , "negative" , "neutral" , "positive"..."positive" ] >>> y2 = [ "negative" , "positive" , "negative" , "neutral"...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
balanced_accuracy_score — scikit-learn 1.7.2 do...
= [ 0 , 1 , 0 , 0 , 1 , 0 ] >>> y_pred = [ 0 , 1 , 0 , 0 , 0 ,...Ong, C.S.; Stephan, K.E.; Buhmann, J.M. (2010). The balanced...scikit-learn.org/stable/modules/generated/sklearn.metrics.balanced_accuracy_score.html -
RadiusNeighborsRegressor — scikit-learn 1.7.2 d...
RadiusNeighborsRegre(...) >>> print ( neigh . predict ([[ 1.5 ]])) [0.5] fit...{‘auto’, ‘ball_tree’, ‘kd_tree’, ‘brute’}, default=’auto’ Algorithm...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsRegressor.html -
CategoricalNB — scikit-learn 1.7.2 documentation
6 , 100 )) >>> y = np . array ([ 1 , 2 , 3 , 4 , 5 , 6 ]) >>>...sklearn.naive_bayes. CategoricalNB ( * , alpha = 1.0 , force_alpha...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.CategoricalNB.html -
ParameterGrid — scikit-learn 1.7.2 documentation
'a' : 1 , 'b' : False }, ... { 'a' : 2 , 'b' : True }, { 'a' :...{ 'kernel' : 'rbf' , 'gamma' : 1 }, ... { 'kernel' : 'rbf' , 'gamma'...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterGrid.html -
DictionaryLearning — scikit-learn 1.7.2 documen...
None , * , alpha = 1 , max_iter = 1000 , tol = 1e-08 , fit_algorithm...0.5 || X - U V || _Fro ^ 2 + alpha * || U || _1 , 1 ( U , V )...scikit-learn.org/stable/modules/generated/sklearn.decomposition.DictionaryLearning.html -
make_friedman1 — scikit-learn 1.7.2 documentation
X [:, 2 ] - 0.5 ) ** 2 + 10 * X [:, 3 ] + 5 * X [:, 4 ] + noise...formula: y ( X ) = 10 * sin ( pi * X [:, 0 ] * X [:, 1 ]) + 20 * ( X...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman1.html -
sklearn.covariance — scikit-learn 1.7.2 documen...
top Ctrl + K GitHub Choose version sklearn.covariance # Methods...covariance w/ cross-validated choice of the l1 penalty. LedoitWolf...scikit-learn.org/stable/api/sklearn.covariance.html