This endpoint is used to get the details of a model corresponding to the given
model_name. The response contains:
created_at: The time when the setup call for the model was made.
model_name: The name of the model.
status: Possible values defined in the table below.
|SCHEDULING||The resources for your model are being allocated.|
|FETCHING||The data for your model to train on is being fetched.|
|TRAINING||Your model is training on the fetched data.|
|DEPLOYING||Your model is deploying.|
|ACTIVE||Your model has been successfully deployed and is ready for inference!|
|ERROR||There was an issue with the creation of your model.|
input_schemaThe schema passed in at setup time used to create the model.
trained_at: The last time the model was trained.
Training and deploying may take some time (depending on the amount of data). Until the
statusof the model is
ACTIVE, calls to Rank will fail. Once the model is
ACTIVE, it will remain
ACTIVEuntil you delete it.