Neural Prophet - 0.3.1
Included in this release:
* Now supporting use of multiple time-series datasets to train a single model (global modelling)
* example notebook for global modelling
* data frequency argument optional - automatic detection
* improved documentation and docstrings
* support for local/individual normalization of time-series when working with multiple datasets
* introducing forgetfulness: Skew model fit towards more recent observations
* widen range of default number of epochs
* add notebook for use of live-plot-loss
* improve docstrings to show up in sphinx (API documentation)
* bugfixes
Details
date
March 3, 2022, 2:44 a.m.
name
Beta 0.3.1
type
Patch
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