airt model
A set of commands for querying the model training, evaluation, and prediction status.
Usage:
$ airt model [OPTIONS] COMMAND [ARGS]...
Options:
--install-completion [bash|zsh|fish|powershell|pwsh]
: Install completion for the specified shell.--show-completion [bash|zsh|fish|powershell|pwsh]
: Show completion for the specified shell, to copy it or customize the installation.--help
: Show this message and exit.
Commands:
details
: Return the details of a model.evaluate
: Return the evaluation metrics of the...ls
: Return the list of models.predict
: Run predictions against the trained model.rm
: Delete a model from the server.
airt model details
Return the details of a model.
Usage:
$ airt model details [OPTIONS] ID
Arguments:
ID
: Model id in the server. [required]
Options:
-d, --debug
: Set logger level to DEBUG and output everything.--help
: Show this message and exit.
airt model evaluate
Return the evaluation metrics of the trained model.
Usage:
$ airt model evaluate [OPTIONS] ID
Arguments:
ID
: Model id in the server. [required]
Options:
-d, --debug
: Set logger level to DEBUG and output everything.--help
: Show this message and exit.
airt model ls
Return the list of models.
Usage:
$ airt model ls [OPTIONS]
Options:
-o, --offset INTEGER
: The number of models to offset at the beginning. If None, then the default value 0 will be used. [default: 0]-l, --limit INTEGER
: The maximum number of models to return from the server. If None, then the default value 100 will be used. [default: 100]--disabled
: If set to True, then only the deleted models will be returned. Else, the default value False will be used to return only the list of active models.--completed
: If set to True, then only the models that are successfully downloaded to the server will be returned. Else, the default value False will be used to return all the models.-q, --quiet
: Output only ids of model separated by space-d, --debug
: Set logger level to DEBUG and output everything.--help
: Show this message and exit.
airt model predict
Run predictions against the trained model.
Usage:
$ airt model predict [OPTIONS]
Options:
--data_id INTEGER
: DataSource id in the server. [required]--id INTEGER
: Model id in the server. [required]-q, --quiet
: Output the prediction id only.-d, --debug
: Set logger level to DEBUG and output everything.--help
: Show this message and exit.
airt model rm
Delete a model from the server.
Usage:
$ airt model rm [OPTIONS] ID
Arguments:
ID
: Model id in the server. [required]
Options:
-q, --quiet
: Output the deleted model id only.-d, --debug
: Set logger level to DEBUG and output everything.--help
: Show this message and exit.