v0.1.4

Added:

• Added Bounds class to metrics module.
• Added examples in docstrings of all classes.
• Added warnings modules for custom warnings.
• Added infer_dtypes parameter to rule generator classes. If set to True, column datatypes are inferred from the data (same as previous versions); if set to False, the datatypes from the dataset are used.

Changed:

• Allow empty Rules class to be created.

Improvements:

• Added the following operators to those supported by rule converters: greater_field, greater_or_equal_field, less_field, less_or_equal_field.
• Parallelised DirectSearchOptimiser class.
• Added try/except to ParallelPipeline to allow it to run even when a step fails to generate a rule set.
• Added verbosity > 1 to BayesSearchCV.