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Releases: WenjieDu/PyPOTS

v0.0.10

01 Apr 16:34
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v0.0.10 Pre-release
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Dear friends, PyPOTS v0.0.10 is here! 🥳

In this version, we

  1. added support for training models on large datasets with a lazy-loading strategy. I believe this feature is necessary for our users who want to apply PyPOTS in some industrial scenarios where massive datasets are common;
  2. updated the input format. To be compatible with lazy-loading large data from file, the input of function fit() now has been changed from X to train_set. train_set has to be a dict like {"X": X, "y": y} or a path string locating a HDF5 file.
  3. replaced print with logging, which can show necessary printing information more structured;
  4. fixed some inconspicuous and non-fatal bugs;
  5. added test cases to top up the code coverage;
  6. synchronously release PyPOTS in the channel conda-forge on Anaconda, now you can install with conda;

Still, this is a pre-release before the first official version 0.1, and this probably is the last pre-release before v0.1. I'm still working on the docs, tutorials, and new models. Ping me if you have any suggestions or comments! Many thanks, my friends!

What's Changed

Full Changelog: v0.0.9...v0.0.10

v0.0.9

20 Dec 14:03
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v0.0.9 Pre-release
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In this version, we speed up the installation process of PyPOTS. We noticed that torch_geometric and related dependencies take too much time to install. Therefore, they're removed from the list of requirements. They're necessary for the graph model RainDrop. Hence, users who need RainDrop have to install torch_geometric manually after they set up PyPOTS.

What's Changed

Full Changelog: v0.0.8...v0.0.9

Pre-release v0.0.8

13 Sep 10:27
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Pre-release v0.0.8 Pre-release
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Fixed bugs with running on CUDA devices;

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New Contributors

Full Changelog: v0.0.7...v0.0.8

Pre-release v0.0.7

12 Jul 15:55
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Pre-release v0.0.7 Pre-release
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Fix the bug mentioned in #4 and some other issues.

Full Changelog: https://github.com/WenjieDu/PyPOTS/commits/v0.0.7