- Sort Score
- Result 10 results
- Languages All
- Labels All
Results 31 - 40 of 171 for v (0.05 sec)
-
sklearn.ensemble.VotingRegressor — scikit-learn...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingRegressor.html -
sklearn.metrics.normalized_mutual_info_score — ...
See also v_measure_score V-Measure (NMI with arithmetic...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
sklearn.isotonic.IsotonicRegression — scikit-le...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
sklearn.multioutput.MultiOutputRegressor — scik...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.multioutput.MultiOutputRegressor.html -
sklearn.svm.NuSVR — scikit-learn 1.4.2 document...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVR.html -
decomposition.rst.txt
V^*) = \underset{U, V}{\operatorname{arg\,min\,}}...multiply it with :math:`V_k`: .. math:: X' = X V_k .. note:: Most treatments...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt -
sklearn.linear_model.Ridge — scikit-learn 1.4.2...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html -
sklearn.neural_network.MLPRegressor — scikit-le...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html -
sklearn.cross_decomposition.CCA — scikit-learn ...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.CCA.html -
sklearn.linear_model.TheilSenRegressor — scikit...
is defined as \((1 - \frac{u}{v})\) , where \(u\) is the residual...((y_true - y_pred)** 2).sum() and \(v\) is the total sum of squares...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TheilSenRegressor.html