v0.7.1

What's Changed

• Create Bridgscaler_intro.ipynb by @ThomasMGeo in #17
• Fix to DStandardScaler by @djgagne in #18

New Contributors

• @ThomasMGeo made their first contribution in #17

Full Changelog: v0.7.0...v0.7.1

v0.7.0

What's Changed

• Numba versions of T-Digest quantile and cdf by @djgagne in #15
• Update version to 0.7.0 by @djgagne in #16
• Deprecated DQuantileTransformer and removed dependency with pytdigest.

Full Changelog: v0.6.0...v0.7.0

v0.6.0

What's Changed

• Created parallel DQuantileScaler using crick library. by @djgagne in #14
• DQuantileTransformer will be deprecated in the next version of bridgescaler in favor of DQuantileScaler.

Full Changelog: v0.5.1...v0.6.0

v0.5.1

What's Changed

• Fixed bug in DQuantileTransformer by @djgagne in #12

Full Changelog: v0.5.0...v0.5.1

v0.5.0

What's Changed

• Channels first support by @djgagne in #11

Full Changelog: v0.4.2...v0.5.0

v0.4.2

What's Changed

• Bug fixes to inverse DQuantileTransformer and printing and reading scalers by @djgagne in #10

Full Changelog: v0.4.1...v0.4.2

v0.4.1

What's Changed

• Added subset transforms for distributed scalers by @djgagne in #9

Full Changelog: v0.4...v0.4.1

v0.4

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 #8

Full Changelog: v0.3...v0.4

v0.3

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 #3
• Deep Quantile Transformer by @djgagne in #6

Full Changelog: v0.2...v0.3

v0.2

What's Changed

• Added deep standard and min max scalers. by @djgagne in #2

New Contributors

• @djgagne made their first contribution in #2

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