Inferelator

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New Functionality:

- Added code to randomly generate noise in prior with ``.set_shuffle_parameters(add_prior_noise=None)``
- Added in-workflow benchmarks for CellOracle and pySCENIC


Code Refactoring:

- Minor changes to matplotlib interface
- Improved testing for multitask workflows
- Improved error messaging around prior and gold standard
- Switch from Travis.ci to GitHub Actions for continuous integration

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New Functionality:

- Added ``.set_regression_parameters(tol=None)`` to parameterize tolerances in AMuSR regression

Code Refactoring:

- Profiled and optimized AMuSR code

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Bug Fixes:

- Fixed bug in multitask prior processing
- Fixed bug in dask cluster setup
- Suppressed stdout warning when output network MCC is not finite

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New Functionality:

- Added the ability to control threads-per-process when using dask

Bug Fixes:

- Fixed bug in result dataframe that failed to create columns in older versions of pandas

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New Functionality:

- Added flag ``.set_shuffle_parameters(make_data_noise=True)`` to model on randomly generated noise
- Output TSV files are gzipped by default
- Added ``.set_output_file_names()`` as interface to change output file names
- Added ``.set_regression_parameters(lambda_Bs=None, lambda_Ss=None, heuristic_Cs=None)`` for AMuSR regression

Bug Fixes:

- Fixed bug(s) with dask cluster scaling
- Fixed float precision bug in mutual information

Code Refactoring:

- Added additional tests
- Refactored AMuSR code

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Bug Fixes:

- Fixed bug that prevented PDF summary figure generation