Expose weight_decay in torch TFT estimator class
#2603
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weight_decay in torch TFT estimator class
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* Add assertion to split function ensuring valid windows (#2587) * Ensure dtype on feat_time in torch DeepAR. (#2596) * Move NPTS back to `gluonts.model` (#2597) * Expose aggregation method in ensemble NBEATS, fix forecast shape (#2598) * Fix bug with static cardinalities in `PandasDataset` (#2599) * Expose `weight_decay` in torch TFT estimator class (#2603) * Fix version in requirements to comply with stricter setuptools. (#2604) Co-authored-by: Lorenzo Stella <[email protected]> * Add `gluonts.util.safe_extract` (#2606) Co-authored-by: Jasper <[email protected]> Co-authored-by: Lorenzo Stella <[email protected]> * Fix incorrect import in `tsbench`, apply latest black (#2613) * Allow ReduceLROnPlateau to track val_loss when validation set is available (#2614) --------- Co-authored-by: MarcelK1102 <[email protected]> Co-authored-by: Jasper <[email protected]> Co-authored-by: Gerald Woo <[email protected]> Co-authored-by: Lorenzo Stella <[email protected]> Co-authored-by: Jasper <[email protected]>
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Description of changes:
Expose weight_decay parameter and add default value (1e-8) to be more consistent with existing mx/torch models.
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