0.2.3

• Changed shell metrics to be similar to SageMaker DeepAR.

0.2.2

More shell fixes

• Add proper documentation strings.
• Fix the printed script name in help output.
• Add a force-static train parameter that forces the
  creation of a static predictor from the expected
  model location.

0.2.1

• Fixup of shell. (#180)

• Re-added locate for Forecaster detection. (#181)

• Minor fixes.

0.2.0

New features

• Adding option to rescale time series instead of clipping them, in artificial dataset generation (#114)
• Include cdf method in distributions (#120, #133)
• Add support for feat_dynamic_real field in DeepAREstimator (#125)
• Add NPTS model (#148)
• Added shell package (#151, #156, #173)
• Custom seasonality for complex seasonal dataset (#155)

Other changes

• Renamed time_granularity -> freq, time_freq -> freq (#172, #173)
• Include safety check that catches infinite loops in transformations (#139)

Fixes

• Fixes to paths (#143)
• Fix default context_length in MQCNN and MQRNN estimators (#167)

0.1.4

• Fixed problem with the num_eval_samples argument of GluonPredictor.predict (#103)
• Fixed pydantic requirement, which was causing issues on Python 3.7 (#108)

0.1.3

• fixed bugs in distributions (#92)
• updated mxnet requirement (#96)
• removed pandas warnings (#97)

0.1.2

Issues fixed:

• Indexing issue in the RForecastPredictor (#63)
• Issues with the LDS and Binned distributions (#57 #65 #68)
• Hardcoded paths that affected Windows users (#77)
• Worked around Pandas bug affecting some versions (#79)
• Bug in the artificially generate datasets (#83)
• Circular dependency issue (#88)
• Removed FutureWarning complaints by Pandas (#88)
• Bumped version requirement for rpy2 (#89)

0.1.1

First public release of GluonTS

0.1.0

First public release of GluonTS.