Bridgescaler

What's Changed
* Added subset transforms for distributed scalers by djgagne in https://github.com/NCAR/bridgescaler/pull/9


**Full Changelog**: https://github.com/NCAR/bridgescaler/compare/v0.4...v0.4.1

Highlights
* New distributed quantile transformer supported by TDigest algorithm
* Support to transform numpy arrays, xarray dataarrays, and pandas dataframes with Distributed scalers.
* Documentation webpage.
* More tests and bug fixes.

What's Changed
* Distributed quantile transform and documentation by djgagne in https://github.com/NCAR/bridgescaler/pull/8


**Full Changelog**: https://github.com/NCAR/bridgescaler/compare/v0.3...v0.4

Bridgescaler v0.3 has some major feature enhancements and bug fixes.
* DeepQuantileTransformer: Performs quantile transforms on multi-dimensional datasets where the last dimension is the variable (channels-last in deep learning library context).
* Distributed scalers: we have standard and min max scalers that can be applied on separate subsets of the data and then be combined in map-reduce fashion. They support both tabular and n-dimensional datasets, so you can use them for large datasets that don't fit in memory on a single node.

What's Changed
* GroupMinMaxScaler fixes by djgagne in https://github.com/NCAR/bridgescaler/pull/3
* Deep Quantile Transformer by djgagne in https://github.com/NCAR/bridgescaler/pull/6


**Full Changelog**: https://github.com/NCAR/bridgescaler/compare/v0.2...v0.3

What's Changed
* Added deep standard and min max scalers. by djgagne in https://github.com/NCAR/bridgescaler/pull/2

New Contributors
* djgagne made their first contribution in https://github.com/NCAR/bridgescaler/pull/2

**Full Changelog**: https://github.com/NCAR/bridgescaler/commits/v0.2