- Data Imputation/Transformation (Time Series Regression) - text fields and categorical data is transformed automatically and can also be controlled using column metadata.
- Imputation/aggregation strategies - (impute min, max, average and aggregate sum, mean, mode).
- Change Resolution of Time Series. Users can now submit data at one time granularity and request forecasts at another (e.g. submit hourly data but forecast at the daily, monthly, etc).
- PUT data endpoint now properly updates metadata in datasets.
- Number of historical observations used in model-building are not improperly trunkated.
- Forecasts are no longer floored at 0 when they should go negative.
- Imputation fails on yearly dataset with numeric measure feature