ProFeTorch
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sachinruk
Time Series Analysis with Deep Learning.
Bumps [addressable](https://github.com/sporkmonger/addressable) from 2.7.0 to 2.8.1. Changelog Sourced from addressable's changelog. Addressable 2.8.1 refactor Addressable::URI.normalize_path to address linter offenses (#430) remove redundant colon in Addressable::URI::CharacterClasses::AUTHORITY regex (#438) update gemspec to...
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Bumps [tzinfo](https://github.com/tzinfo/tzinfo) from 1.2.5 to 1.2.10. Release notes Sourced from tzinfo's releases. v1.2.10 Fixed a relative path traversal bug that could cause arbitrary files to be loaded with require when...
Bumps [nokogiri](https://github.com/sparklemotion/nokogiri) from 1.10.5 to 1.13.6. Release notes Sourced from nokogiri's releases. 1.13.6 / 2022-05-08 Security [CRuby] Address CVE-2022-29181, improper handling of unexpected data types, related to untrusted inputs to...
Hi Sachin, Thanks for moving the prophet idea to GPUs. While using your library I am running into the issue: 0.00% [0/30 00:00 65 learner.fit_one_cycle(self.epochs, self.lr, callbacks=cb) 66 67 self.model...
can you package work with multivariate categorical time series and multivariate time series when some features are categorical and some some features are continues
Bumps [nokogiri](https://github.com/sparklemotion/nokogiri) from 1.10.5 to 1.14.3. Release notes Sourced from nokogiri's releases. 1.14.3 / 2023-04-11 Security [CRuby] Vendored libxml2 is updated to address CVE-2023-29469, CVE-2023-28484, and one other security-related issue....