Fix/loss missing impropers #5
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Test failure due to missing openeye-toolkit license. |
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Description
Espaloma training sometimes fails due to missing improper torsions in the dataset because the loss assumes all dataset (molecules) have improper torsions. This behavior was resolved by setting improper loss to zero if improper is not present.
This PR also fixes #4 as an enhancement.
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