Change Log

Version 1.2.2 * Deprecation fixes * Changed name for predict_segmented_series to predict_unsegment in pipe * Added predict_as_series convenience function in pipe

Version 1.2.1

  • Implement predict_segmented_series for Pype, which resamples the prediction to the original time series sampling

  • Updated feature rep example to show usage

  • Introduced Segment class to replace SegmentX and SegmentXY, and as a base class for SegmentXYForecast to avoid code duplication

  • Fix nn_training_curve example

Version 1.1.1

  • Fix for imbalanced-learn resamplers by Matthias Gazzari

Version 1.1.0

  • Support for imbalanced-learn resamplers by Matthias Gazzari

Version 1.0.9

  • allows for vector targets, to support one-hot or multi-label encoding

  • supports unsorted time series data

  • supports time series data with duplicate time stamps (fixing scipy interp sorting)

  • fixed numpy deprecation warning for test_base

Version 1.0.8

  • added function for creating TS_Data from pandas

  • minor bug fixes

Version 1.0.7

  • step parameter defined for Segment transformers, which can be used to specify the sliding

window segmentation instead of overlap parameter (Matthias Gazzari) * bug fix - variance feature calculation

Version 1.0.6

  • order parameter defined for Segment transformers. Using ‘C’ ordering improves ANN estimator performance.

  • __repr__ defined for callable feature classes

  • FunctionTransformer contributed by Matthias Gazzari

  • __repr__ attributed added to TemporalKFold by Matthias Gazzari

  • InterpLongToWide contributed by Philip Boyer

Version 1.0.5

  • FeatureRepMix transformer contributed by Matthias Gazzari (qtux)

  • Added verbosity control to FeatureRep transformer

Version 1.0.4:

  • Fixed bug with Interp transformer and improved its unit testing

  • Added preprocessing module with TargetRunLengthEncoder transform

  • Further features functions contributed by Matthias Gazzari (qtux)

Version 1.0.3:

  • Continuous integration fixes

  • Documentation and unit testing improvements

Version 1.0.2:

  • Added further features

Version 1.0.1:

  • Improvements to documentation, error checking, and unit tests

  • feature_functions min and max changed to minimum and maximum respectively

Version 1.0.0:

  • Major API change integrating preprocessing and estimation into single pipeline (Pype)

  • Note this is unfortunately not backwards compatible

  • Added Interp transformer for resampling time series

Version 0.2.0:

  • Added transformer for segmenting data set with padding and / or truncation

  • Implemented random_state initialization for SegPipe

  • Corrected documentation for FeatureRep

Version 0.1.6:

  • First stable version