Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Invalid example url #1417

Merged
merged 2 commits into from
Jan 15, 2021
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
Original file line number Diff line number Diff line change
Expand Up @@ -8,8 +8,8 @@

# TFEventFileParser parses tfevent files and returns an ObservationLog of the metrics specified.
# When the event file is under a directory(e.g. test dir), please specify "{{dirname}}/{{metrics name}}"
# For example, in the TensorFlow official tutorial for mnist with summary (https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/mnist/mnist_with_summaries.py),
# the "accuracy" metric is saved under "train" and "test" directories. So in Katib, please specify name of metrics as "train/accuracy" and "test/accuracy".
# For example, in the kubeflow tf-operator tutorial for mnist with summary (https://github.com/kubeflow/tf-operator/blob/master/examples/v1/mnist_with_summaries/mnist_with_summaries.py),
# the "accuracy" metric is saved under "train" and "test" directories. So in the Metrics Collector specification, please specify name of "train" or "test" directory. Check TFJob example for more information: https://github.com/kubeflow/katib/blob/master/examples/v1beta1/tfjob-example.yaml#L16-L22


class TFEventFileParser:
Expand Down