Version 2.0.3

• New option for specifying model in evaluate()

  • Can now pass the names of different default pipelines as a str to the pipeline parameter. E.g., evaluate(pipeline=’elastic_pipe’).

• New Quick start Example

  • Added to github frontpage README.md.

• More Examples

  • More examples and updated docstrings for different functions.

• Fix bugs in eval

  • Fixes some internal bugs when dataset has no test subjects, or hasn’t had any encoders set.

• Change evaluate() small updates

  • eval_verbose new default is now 1 instead of 0. Also added optional mute_warnings flag independent of eval_verbose.

• Custom objects tweak

  • Custom passed objects will now be checked and updated if they have parameters n_jobs or random_state.