How to run AutoML NER Job?

Question

# Create the AutoML job with the related factory-function.

exp_name = "dpv2-nlp-text-ner-experiment"
exp_timeout = 60
text_ner_job = automl.text_ner(
    experiment_name=exp_name,
    compute=compute_name,
    training_data=my_training_data_input,
    validation_data=my_validation_data_input,
    tags={"my_custom_tag": "My custom value"},
)

text_ner_job.set_limits(timeout_minutes=exp_timeout)

# Submit the AutoML job

returned_hf_job = ml_client.jobs.create_or_update(
    text_ner_hf_job
)  # submit the job to the backend

print(f"Created job: {returned_hf_job}")

Answer 1

Hi Stefan Chu

Correct syntax as per automl class is below.

   from azure.ai.ml import automl, Input
   from azure.ai.ml.constants import AssetTypes
   text_ner_job = automl.TextNerJob(
       experiment_name="my_experiment",
       compute="my_compute",
       training_data=Input(type=AssetTypes.MLTABLE, path="./training-mltable-folder"),
       validation_data=Input(type=AssetTypes.MLTABLE, path="./validation-mltable-folder"),
       tags={"my_custom_tag": "My custom value"},
   )
   returned_hf_job = ml_client.jobs.create_or_update(text_ner_job )

If you have any other questions, please let me know. Thank you again for your time and patience throughout this issue.

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