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2.9. Neural network models (unsupervised) ̵...
version 2.9. Neural network models (unsupervised) # 2.9.1. Restricted...Gibbs sampling for inference. 2.9.1.2. Bernoulli Restricted Boltzmann...scikit-learn.org/stable/modules/neural_networks_unsupervised.html -
1.12. Multiclass and multioutput algorithms ...
2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,...scikit-learn.org/stable/modules/multiclass.html -
Nystroem — scikit-learn 1.7.2 documentation
2 , ... random_state = 1 , ... n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.Nystroem.html -
TweedieRegressor — scikit-learn 1.7.2 doc...
determination R^2. R^2 uses squared error and D^2 uses the deviance...() >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.TweedieRegressor.html -
load_wine — scikit-learn 1.7.2 documentation
2]) >>> list ( data . target_names...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_wine.html -
Hyperparameter — scikit-learn 1.7.2 docum...
bounds # Alias for field number 2 count ( value , / ) # Return number...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Hyperparameter.html -
GammaRegressor — scikit-learn 1.7.2 docum...
determination R^2. R^2 uses squared error and D^2 uses the deviance...() >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ], [ 4 , 3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.GammaRegressor.html -
TargetEncoder — scikit-learn 1.7.2 docume...
for 2 features (f) and 3 classes (c),...] * 5 + [ 20.1 ] * 25 + [ 21.2 ] * 8 + [ 49 ] * 30 >>>...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.TargetEncoder.html -
locally_linear_embedding — scikit-learn 1...
(n_components + 1) / 2. see reference [2] modified use the modified...n_components = 2 ) >>> embedding . shape (100, 2) Gallery...scikit-learn.org/stable/modules/generated/sklearn.manifold.locally_linear_embedding.html -
median_absolute_error — scikit-learn 1.7....
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.median_absolute_error.html