$ ml --outputformat [tables|json]
This option control the structure of the output of any ml command the default is tables. In case you are using the MissingLink CLI as part of a 3rd-party script, we have added the JSON format for easier manipulation of the return values. The command has a shortcut of -o.
Model hash retrieval
MissingLink CLI can calculate your model's weights hash which can be used for more advanced integration like sending external metrics and charts
# For a Keras model ml models getWeightsHash --framework keras --model checkpoint.hdf5 # For a TensorFlow model ml models getWeightsHash --framework tf --model models/checkpoint.ckpt # For a Caffe model ml model getWeightsHash --framework caffe --model train.prototxt \ --weights checkpoints.caffemodel
For a full overview for this feature, see Source Tracking. You can establish source tracking by calling:
ml code track --source-repository=https://github.mock/myorg/myrepo [email protected]:myorg/myrepo_tracking.git
gitschemes are supported.
- The mapping is available to any project started by an owner with access to the specified
- The tracking is enabled for every future experiment.
When setting up tracking using MissingLink CLI, both repositories MUST belong to the same organization. In the above example, attempt to
[email protected]:notmyorg/myrepo_tracking.git would yield error.
Return the version of MissingLink CLI installed on your environment.