wai-ma 0.0.9

project name uses underscores now

lifted numpy<1.22 restriction

np.INF/np.NINF to np.inf/-np.inf

updated regression files

Updated/relaxed dependencies

Using int instead of np.int now

Fixed Downsample so it filters columns instead of rows.

Added tranformations based on scikit-learn: PowerTransformer, QuantileTranformer and RobustScalar.

Added Log transformation.

Updated to wai.common v0.0.17

Standardize now implements Serialisable interface.

Serialisable can now serialise strings.

Added FFT as a transformation.

Fixed bug in initialize(Matrix, Matrix) for YGradientEPO and OPLS where any error message wasn’t being returned.

Removed utilities to wai.common, and import them back to here.

read/write in matrix.helper can now accept open file handles as well as file names.

Calling inverseTransform on SavitzkyGolay now raises a NotImplementedError, instead of silently passing.

Testing infrastructure is now imported from wai.test.

Added a Serialisable interface, which allows objects to write their state to a binary stream. SavitzkyGolay and SIMPLS implement this.

Added Equidistance resampling filter.

Modified RowNorm to reconfigure itself for every matrix it sees.

Initial release