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New time series models
New time series loss functions
Bug fixes
Meta data embedding models.
Documentation updates and fixes
Increasing test coverage
Code Style
We use Flake8 and mypy. Currently, we are a PyTorch only repository in terms of model frameworks.
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All PRs require at least one approving review. Generally this review should be either from Isaac Godfried kriti mahajan or another core contributor. Please feel free to request to a review.
Getting setup locally
To get setup local you can install our repository in development mode from the master branch (or whatever branch you are using). To do this run
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cd flow-forecast
python setup.py develop
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Adding models
Models generally require four things:
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Models that take parameters other than X and metadata in forward_params.
Models that return a tensor not in the shape (batch_size, seq_len, n_results)
Please plan with the repository owners before unde Isaac Godfried before undertaking these more complicated models.