sklearn.datasets.mldata_filename(dataname)

sklearn.svm.libsvm.decision_function() Predict margin (libsvm name for this is predict_values) We

This example demonstrates how to approximate a function with a polynomial of degree n_degree by using ridge regression. Concretely, from n_samples 1d points, it suffices

Warning DEPRECATED

The sklearn

This example demonstrates the power of semisupervised learning by training a Label Spreading model to classify handwritten digits with sets

The decision tree structure can be analysed to gain further insight on the relation between the features and the target to predict. In this example

class sklearn.tree.ExtraTreeRegressor(criterion='mse', splitter='random', max_depth=None, min_samples_split=2, min_samples_leaf=1,

sklearn.calibration.calibration_curve(y_true, y_prob, normalize=False, n_bins=5)

This data sets consists of 3 different types of irises? (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray The rows being the