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However, the original data in the dataset and the labeled data that has been accepted are still stored in the corresponding OBS bucket. Parent topic: Team Labeling
This parameter is a container environment variable if a job uses a custom image. log_url No String OBS URL of training job logs. By default, this parameter is left blank. An example value is /usr/log/. train_instance_type Yes String Resource flavor selected for a training job.
This parameter is returned only when ManifestFile is used. dest_path String OBS path to the output data of a batch job Example: https://xxx.obs.myhwclouds.com/res/. instance_count Integer Number of instances deployed for a model status String Service status.
Create a model directory in OBS and upload the triton_serving.sh file and llama_7b folder to the model directory. Figure 2 Uploading files to the model directory Create a model. Set Meta Model Source to OBS and select the meta model from the model directory.
Table 2 Data source types Type Example OBS "source":"s3://path-to-jpg" Content "source":"content://I love machine learning" Table 3 annotation objects Parameter Mandatory Description type Yes Label type.
For example, ModelArts must access OBS to read your data for training. For security purposes, ModelArts must be authorized to access other cloud services. This is agency authorization. ModelArts provides one-click auto authorization.
For example, ModelArts needs to access OBS to read your data for training. For security purposes, ModelArts must be authorized to access other cloud services. This is agency authorization. ModelArts provides one-click automatic authorization.
The {service_id}-infer-result subdirectory in the output_dir directory is used by default. key_sample_output String Output path of hard examples in active learning log_url String OBS URL of the logs of a training job.
Response Parameters Status code: 200 Table 3 Response body parameters Parameter Type Description model_version String Model version source_job_version String Version of the source training job source_location String OBS path where the model is located or the template address of the
Options: asc: ascending order desc: descending order (default value) process_parameter No String Image resize configuration, which is the same as OBS settings. For details, see Resizing Images.
The default value is 0. process_parameter No String Image resize configuration, which is the same as OBS settings. For details, see Resizing Images.
The {service_id}-infer-result subdirectory in the output_dir directory is used by default. key_sample_output String Output path of hard examples in active learning log_url String OBS URL of the logs of a training job.
Enums: SFS EVS mount_path String Directory of the notebook instance to which OBS storage is mounted. Currently, the directory is /home/ma-user/work/. ownership String Owner to which the resource belongs. Enums: MANAGED: Resources are managed by the service.
Enums: SFS EVS mount_path String Directory of the notebook instance to which OBS storage is mounted. Currently, the directory is /home/ma-user/work/. ownership String Owner to which the resource belongs. Enums: MANAGED: Resources are managed by the service.
Enums: SFS EVS mount_path String Directory of the notebook instance to which OBS storage is mounted. Currently, the directory is /home/ma-user/work/. ownership String Owner to which the resource belongs. Enums: MANAGED: Resources are managed by the service.
Enums: SFS EVS mount_path String Directory of the notebook instance to which OBS storage is mounted. Currently, the directory is /home/ma-user/work/. ownership String Owner to which the resource belongs. Enums: MANAGED: Resources are managed by the service.
The options are as follows: DIR: Data is exported to OBS (default value).
This parameter is a container environment variable when a job uses a custom image. log_url No String OBS URL of the logs of a training job. By default, this parameter is left blank.
This parameter is a container environment variable when a job uses a custom image. log_url No String OBS URL of the logs of a training job. By default, this parameter is left blank.
# Use JobStep to define a training phase, and set OBS paths for storing inputs and outputs. job_step = wf.steps.JobStep( name="training_job", # Name of a training phase.
