Handles NaN's #30
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Handles NaN's #30
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csala
approved these changes
Sep 9, 2021
| @@ -210,17 +210,23 @@ def _data_to_tensor(self, data): | |||
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| elif props['type'] in ['continuous', 'timestamp']: | |||
| mu_idx, sigma_idx, missing_idx = props['indices'] | |||
| x[mu_idx] = 0.0 if (data[key][i] is None or props['std'] == 0) else ( | |||
| data[key][i] - props['mu']) / props['std'] | |||
| if pd.isnull(data[key][i]) or props['std'] == 0: | |||
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I like the change from one-liner to if / else block!
It improves readability a lot, in this case.
This was referenced Sep 9, 2021
katxiao
approved these changes
Oct 11, 2021
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This PR has two purposes:
Resolves ValueError: The parameter loc has invalid values SDV#353. In that issue the user was passing NaN`s to SDV, and in turn SDV was passing them to DeepEcho, which was unable to handle them. This PR addresses this.
Update dependency versions. Since no one has worked on DeepEcho in a while, the latest versions of some libraries became incompatible. This PR caps those dependencies to working versions.
Resolves #35.