We use sortedcontainers 2.0 API.

LearnerND scale output values before computing loss

Closes #78

See merge request !128

Resolve "(Learner1D) improve time complexity"

Closes #126 and #104

See merge request !139

See https://www.python.org/dev/peps/pep-0008/#imports

test all the different loss functions in each test

See merge request !135

and have fewer xfailing tests

Then equal losses will be sorted on x-coordinates.

make 'fname' a parameter to 'save' and 'load' only

Closes #122

See merge request !133

Joseph Weston authored 6 years ago and Bas Nijholt committed 6 years ago

This simplifies the API by making sure that the filenames are
only provided in one place (the calls to save and load).

Closes #122

* add 'curvature_loss_function' to the 'tutorial.custom_loss.rst'
* fix header styling
* fix doc-string

Resolve "(Learner1D) add possibility to use the direct neighbors in the loss"

Closes #119

See merge request !131