Fix PyPI description

Fix syntax errors in rst for the previous long description for PyPI.

Expand documentation

The main changes in this release are all documentation-related. In particular we added information on the mathematical underpinnings behind the SINDy method in the README and created a new example notebook walking through the math in more detail.

Refactor optimizers

Update the way optimizers are handled

Previously optimizers needed to inherit from our base class BaseOptimizer. In this version users can more easily pass in their own optimizers, which are then wrapped in a custom class performing some postprocessing steps. As a result of this change, we have removed the LASSO and ElasticNet optimizers since their corresponding sklearn objects can now be passed into the SINDy object directly.

Minor changes

• Added quiet mode to SINDy.fit
• Use L2 regularization by default for STLSQ

Improve optimizers

Changes in this version:

• Optimizers are properly initialized so that copies created by MultiOutputClassifier share the same properties
• Added documentation
• Example notebooks conform to PEP8
• A dummy library, IdentityLibrary , was implemented so that fully custom features can be used
• Additional unit tests to improve coverage
• Optimizers have unbias option to improve performance

Version 0.11.0

Release Pipeline Test