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2.8. Density Estimation — scikit-learn 1.7.2 do...
kde = KernelDensity ( kernel = 'gaussian' , bandwidth = 0.2 )...\(x_i; i=1, \cdots, N\) is given by: \[\rho_K(y) = \sum_{i=1}^{N}...scikit-learn.org/stable/modules/density.html -
typeMappingMap | DBFlute
typeMappingMap = map: { ; NUMERIC = $$AutoMapping$$ ; DECIMAL = $$AutoMapping$$...typeMappingMap = map: { ; $$CLOB$$ = KOLOB ; KOLOB = com.example.type.KorondeItai...dbflute.seasar.org/ja/manual/reference/dfprop/typemapping/index.html -
DistanceMetric — scikit-learn 1.7.2 documentation
y) >= 0 Identity: d(x, y) = 0 if and only if x == y Symmetry:...dist = DistanceMetric . get_metric ( 'euclidean' ) >>> X = [[ 1...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
ParameterSampler — scikit-learn 1.7.2 documenta...
>>> rng = np . random . RandomState ( 0 ) >>> param_grid = { 'a'...param_list = list ( ParameterSampler ( param_grid , n_iter = 4 , ......scikit-learn.org/stable/modules/generated/sklearn.model_selection.ParameterSampler.html -
mean_squared_log_error — scikit-learn 1.7.2 doc...
sample_weight = None , multioutput = 'uniform_average' )...r >>> y_true = [ 3 , 5 , 2.5 , 7 ] >>> y_pred = [ 2.5 , 5 , 4...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_log_error.html -
power_transform — scikit-learn 1.7.2 documentation
method = 'yeo-johnson' , * , standardize = True , copy = True )...{‘yeo-johnson’, ‘box-cox’}, default=’yeo-johnson’ The power transform...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
average_precision_score — scikit-learn 1.7.2 do...
average = 'macro' , pos_label = 1 , sample_weight = None ) [source]...y_true = np . array ([ 0 , 0 , 1 , 1 ]) >>> y_scores = np . array...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
How-tos | APM Android Agent Reference [1.x] | E...
version="1.0" encoding="utf-8"?> <manifest xmlns:android="http...val url = System.getenv("MY_ENV_WITH_MY_URL") val apiKey = Syst...www.elastic.co/guide/en/apm/agent/android/current/how-tos.html -
RegressorTags — scikit-learn 1.7.2 documentation
les=200, n_features=10, n_informative=1, bias=5.0, noise=20,...RegressorTags ( poor_score : bool = False ) [source] # Tags for the...scikit-learn.org/stable/modules/generated/sklearn.utils.RegressorTags.html -
shrunk_covariance — scikit-learn 1.7.2 document...
>>> X = rng . multivariate_normal ( mean = [ 0 , 0 ], cov = real_cov...real_cov = np . array ([[ .8 , .3 ], [ .3 , .4 ]]) >>> rng = np ....scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html