Release 1.4.0

[paxcema]

Lightwood 1.4.0 changelog:

Features:

• Streamlined dynamic .predict() argument passing (Dynamic .predict() arguments #563)
• .learn() abstracted into additional subfunctions (Docs Tutorial + New Predictor interface #581)
• Set default logging level with environment variable (@mrandri19, Use LIGHTWOOD_LOG environment variable to set logging level #603)
• Colored logs (@mrandri19, Implement colored logging with colorlog #608)

Bug fixes:

• JsonAI blocks are now Modules (Add Module type #569)
• Ignore column drop error if column is not in the dataframe (Ignore errors if column not exists in data frame #579)
• LightGBM dependency issue (Solve LGBM issues #609)

Other

• Introduction to statistical analyzer tutorial (Docs: intro example to statistical analysis  #577)
• Custom cleaner tutorial (Docs Tutorial + New Predictor interface #581)
• Custom mixer tutorial (Json AI docs example with custom mixer #575)
• Custom analysis block tutorial (Json AI docs example with custom analysis block #576)
• Docstring for BaseEncoder (Docstring for base encoder #587)
• Native Jupyter notebook support inside docs (nbsphinx for docs #586)
• Automated docs deployment (Auto-build documentation on push #610)
• Updated CLA bot (Upgrade cla bot version #612)
• Improved README.md and CONTRIBUTING.md (New readme #613)

Note: benchmarks will not run on the latest commit for this release, they were instead successfully ran for commit 79f27325a0877bb95709373007a97161fc9bb2eb .