Release 0.12.0 · eyadgaran/SimpleML

Changed internal dataset structure from mixins to direct inheritance
Condensed all pandas dataset types into a single base class
Adds support for dask datasets
Placeholders for additional dataset libraries
Adds hashing support for dask dataframes
Refactored persistence ("save_patterns") package into standalone extensible framework
Adds context manager support to registries for temporary overwrite
Refactor pipelines into library based subclasses

BREAKING CHANGES

Pandas dataset will default param squeeze_return to False (classes expecting to return a series will need to be updated)
Numpy dataset is considered unstable and will be redesigned in a future release
Onedrive, Hickle, and database save patterns are removed (functionality is still available but a composed pattern is not predefined. these can be trivially added in user code if needed)
Changed pandas hash output to int from numpy.int64 (due to breaking change in NumpyHasher)
Changed primitive deterministic hash from pickle to md5
Extracted data iterators into utility wrappers. Pipelines no longer have flags to return iterators
Random split defaults are computed at runtime instead of precalculated (affects hash)

What's Changed

Ml management structure by @eyadgaran in #87
Python eol by @eyadgaran in #92
Dataset libraries by @eyadgaran in #90
Pipeline refactor by @eyadgaran in #96
additional testing coverage by @eyadgaran in #83
Adding Ensemble Model Histogram-based Gradient Boosting Classifier by @aolopez in #91
version bump by @eyadgaran in #98

Full Changelog: 0.11.0...0.12.0