This is an example showing how the scikit-learn can be used to classify documents by topics using a bag-of-words approach. This example

Warning DEPRECATED class

sklearn.metrics.r2_score(y_true, y_pred, sample_weight=None, multioutput=None)

sklearn.metrics.pairwise.chi2_kernel(X, Y=None, gamma=1.0)

The following example illustrates the effect of scaling the regularization parameter when using

This example constructs a pipeline that does dimensionality reduction followed by prediction with a support vector classifier

Both kernel ridge regression (KRR) and SVR learn a non-linear function by employing the kernel trick, i.e., they learn a linear function in the

An illustration of the isotonic regression on generated data. The isotonic regression finds a non-decreasing approximation of a function while minimizing the mean squared

class sklearn.manifold.SpectralEmbedding(n_components=2, affinity='nearest_neighbors', gamma=None, random_state=None, eigen_solver=None

sklearn.metrics.v_measure_score(labels_true, labels_pred)