comet_ml.end ¶

end()

If there is a running experiment, finalize it and flush all pending data to the Comet server. See end for more details. If no experiment was running, this does nothing.

comet_ml.error_mode ¶

error_mode() -> None

Enables the printing of error tracebacks to the console logger for debugging purposes.

comet_ml.flush ¶

flush() -> Optional[bool]

If there is a running experiment, flush all pending data to the Comet server. See flush for more details. If no experiment was running, this does nothing.

Returns:

Optional[bool] –
If there is a running experiment, returns a Boolean True or False indicating whether the flush was successful or not. If no experiment was running, returns None.

comet_ml.get_running_experiment ¶

get_running_experiment() -> Optional[BaseExperiment]

Returns a currently running experiment or None if there is no such.

Returns:

Optional[BaseExperiment] –
Returns the running experiment or None.

Example

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import comet_ml

experiment = comet_ml.get_running_experiment()

comet_ml.get_s3_uploader ¶

get_s3_uploader(
    bucket: str, key: Optional[str] = None, **kwargs
) -> UploadCallback

Return an upload callback that can be used to upload offline archive when an online Experiment has fallback to offline.

The AWS credentials must be present either via environment variables or in the user home directory in format supported by boto3 client as described at: https://boto3.amazonaws.com/v1/documentation/api/latest/guide/credentials.html

Parameters:

bucket (str) –
The bucket name to which the PUT action was initiated.
key (Optional[str], default: None ) –
Object key for which the PUT action was initiated. If not provided the automatically generated file name will be used.
kwargs –
The additional parameters supported by boto3 client as described here: https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/s3/client/put_object.html

Returns:

UploadCallback –
A callback to be used to upload offline experiment data to S3.

For example:

from comet_ml import get_s3_uploader

upload_callback = get_s3_uploader(bucket="my_bucket")
experiment = Experiment()
experiment.set_offline_zip_uploader(upload_callback)

Nov. 18, 2024