This python package allows you to submit your trained keras models to a kerasltiprovider (see here) that proxies any LTI conforming learning platform for grading.
$ pip install kerasltisubmissionimport kerasltisubmission
# Looking for the provider?
# See https://github.com/into-ai/kerasltiprovider
provider = LTIProvider(
input_api_endpoint="http://localhost:8080",
submission_api_endpoint="http://localhost:8080/submit",
user_token="7dd7367c-40c2-43cb-a052-bb04e1d0a858",
)
# Submit your keras model
submission = Submission(assignment_id=12, model=model)
provider.submit(submission)For a complete example, see example.py. Also see the official documentation as well as the documentation of the kerasltiprovider.
Development
For detailed instructions see CONTRIBUTING.
Tests
You can run tests with
$ invoke test
$ invoke test --min-coverage=90 # Fail when code coverage is below 90%
$ invoke type-check # Run mypy type checksLinting and formatting
Lint and format the code with
$ invoke format
$ invoke lintAll of this happens when you run invoke pre-commit.
Note
This project is still in the alpha stage and should not be considered production ready.
1 maintainer
Metadata
1 maintainer
Release files for kerasltisubmission 0.4.9
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| File | Size | Uploaded | |
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| kerasltisubmission-0.4.9.tar.gz | 392.8 kB | Details |
Release files / kerasltisubmission-0.4.9.tar.gz
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