Running Experiments with Explicit Project and User Identifiers
This topic shows you how to run an experiment using specific project token and owner ID.
Normally, when you run an experiment, MissingLink assumes you wish to run it on the most recently selected project and as the user that was validated by the most recent
ml auth init command.
MissingLink allows you to run experiments from a different project and as a different user, by specifying them explicitly. For example, if you integrated MissingLink with Keras, when you first create the
KerasCallback instance, instead of writing:
missinglink_callback = missinglink.KerasCallback()
missinglink_callback = missinglink.KerasCallback(owner_id = '', project_token = '')
To obtain the token and owner ID that are required for this function call, see below.
missinglink_project = missinglink.TensorFlowProject(owner_id = '', project_token = '')
missinglink_project = missinglink.PyTorchProject(owner_id = '', project_token = '')
missinglink_callback = missinglink.PyCaffeCallback(owner_id = '', project_token = '')
project = missinglink.SkLearnProject(owner_id = '', project_token = ')
Obtaining the token and owner ID of a project
Perform the following procedures to obtain the token and owner ID of a project: