Merge branch 'develop' of https://github.com/shogun-toolbox/shogun into vgorbati-develop
Merge branch 'develop' of https://github.com/shogun-toolbox/shogun into vgorbati-develop
Add boolean member to Perceptron to allow model initialization.
This is useful to show that the perceptron converges to different
solutions depending on initial values of w and bias.
Perceptron graphical example.
For the same data, the solution is different depending on initial values
of w and bias
Merge branch 'develop' of https://github.com/shogun-toolbox/shogun into vgorbati-develop
Merge branch 'develop' of https://github.com/shogun-toolbox/shogun into vgorbati-develop
Added a wrapper (CTDistributedStochasticNeighborEmbedding class) for t-SNE dimensionality reduction method, implemented in tapkee (according to https://github.com/shogun-toolbox/shogun/issues/946).
Also added a basic unit test for it, that embeds the test data from 3D to 2D using implemented wrapper, and checks that resulting data is actually in 2D, and that number of features stay the same.
Setters/getters in structured machines.
They are required to implement SO-SVMs from interfaces.
Merge pull request #1012 from iglesias/feature/improve_structure

Setters/getters in structured machines.
More debug information for python_modular integration tests
Merge pull request #1007 from iglesias/feature/custom_init_perceptron

Add small functionality to perceptron and graphical example
Merge pull request #1015 from vladislav-horbatiuk/vgorbati-develop

Added a wrapper for t-SNE method implemented in tapkee library and a basic unit test for it.