Release 0.1.0 #20
Release 0.1.0 #20
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bedms/attr_standardizer.py
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| :param int confidence: Confidence threshold for the predictions. | ||
| """ | ||
| self.schema = schema | ||
| self.model = self._load_model() |
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Based on self._load_model() it doesnt seem like I can train my own? Is this possible? Probably a bigger discussion, but this seems tightly coupled to you training it "behind the scenes" and a user can't train their own
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Presently, the user cannot use bedms on a model they have trained.
For that, we would have to first make the updated training scripts available to users. And also provide documentation on preprocessing their training scripts.
I agree that this needs further discussion though.
Just add a docs folder and put the change log in there, like we do with many of our other projects. |
| ``` | ||
| or install the latest version from the GitHub repository: | ||
| ``` | ||
| pip install git+https://github.com/databio/bedms.git | ||
| ``` | ||
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| ## Usage |
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Is there a need for more documentation than this at the moment? If so, where will it live? The Bedbase docs repository? We could also put the changelog there as well.
Changes:
TODO: