mirror of https://github.com/kubeflow/examples.git
1cc4550b7d
* Create a test for submitting the TFJob for the GitHub issue summarization example.
* This test needs to be run manually right now. In a follow on PR we will
integrate it into CI.
* We use the image built from Dockerfile.estimator because that is the image
we are running train_test.py in.
* Note: The current version of the code now requires Python3 (I think this
is due to an earlier PR which refactored the code into a shared
implementation for using TF estimator and not TF estimator).
* Create a TFJob component for TFJob v1beta1; this is the version
in KF 0.4.
TFJob component
* Upgrade to v1beta to work with 0.4
* Update command line arguments to match the versions in the current code
* input & output are now single parameters rather then separate parameters
for bucket and name
* change default input to a CSV file because the current version of the
code doesn't handle unzipping it.
* Use ks_util from kubeflow/testing
* Address comments.
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|---|---|---|
| .. | ||
| test_data | ||
| Dockerfile | ||
| Dockerfile.estimator | ||
| IssueSummarization.py | ||
| Makefile | ||
| Training.ipynb | ||
| requirements.txt | ||
| seq2seq_utils.py | ||
| train.py | ||
| train_test.py | ||
| trainer.py | ||