Plot the class probabilities of the first sample in a toy dataset predicted by three different classifiers and averaged by the

This example visualizes some training loss curves for different stochastic learning strategies, including SGD and Adam. Because of time-constraints

This is an example showing the prediction latency of various scikit-learn estimators. The goal is to measure the latency one can expect when doing predictions either

Perform binary classification using non-linear SVC with RBF kernel. The target to predict is a XOR of the inputs. The color map illustrates the decision function learned

This example fits an AdaBoosted decision stump on a non-linearly separable classification dataset composed of two ?Gaussian quantiles? clusters (see

This example uses

This example illustrates the differences between univariate F-test statistics and mutual information. We consider 3 features x_1, x_2, x_3

Modeling species? geographic distributions is an important problem in conservation biology. In this example we model the geographic distribution of two south american

This example illustrates that GPR with a sum-kernel including a WhiteKernel can estimate the noise level of data. An illustration

This example demonstrates the behaviour of the accuracy of the nearest neighbor queries of Locality Sensitive Hashing Forest as the number