Error on Azure ML - AutoMLPipelineBuilder

Question

I want to build a Pipeline in Azure ML. The Training pipeline runs well. Training:

training_pipeline_steps = AutoMLPipelineBuilder.get_many_models_train_steps(
    experiment=experiment,
    train_data=full_dataset,
    compute_target=compute_target,
    node_count=1,
    process_count_per_node=4,
    train_pipeline_parameters=hts_parameters,
    run_invocation_timeout=3900,
)

Forecasting:

from azureml.train.automl.runtime._hts.hts_parameters import HTSInferenceParameters

inference_parameters = HTSInferenceParameters(
    hierarchy_forecast_level="Material",  # The setting is specific to this dataset and should be changed based on your dataset.
    allocation_method="proportions_of_historical_average",
)

steps = AutoMLPipelineBuilder.get_many_models_batch_inference_steps(
    experiment=experiment,
    #inference_data=registered_inference,
    inference_data = full_dataset,
    compute_target=compute_target,
    inference_pipeline_parameters=inference_parameters,
    node_count=1,
    process_count_per_node=4,
    arguments=["--forecast_quantiles", 0.1, 0.9],
)

But I always get the error on Forecasting:

Can anybody help with that error? Thank you!

Can you check in log file `user_logs/std_log_0.txt`.What error it is giving? — JayashankarGS, Jul 05 '23 at 12:14
@JayashankarGS: .txt file shows following: `Azure Machine Learning Batch Inference Start [2023-07-05 06:56:43.233779] No started flag set. Skip creating started flag. Azure Machine Learning Batch Inference End Cleaning up all outstanding Run operations, waiting 300.0 seconds 2 items cleaning up... Cleanup took 0.0012843608856201172 seconds Traceback (most recent call last): File "driver/amlbi_main.py", line 275, in main() File "driver/amlbi_main.py", line 226, in main sys.exit(exitcode_candidate) SystemExit: 42 ` — JMTaverne, Jul 06 '23 at 05:11

score 0 · Answer 1 · answered Aug 02 '23 at 10:36

I have tried your code in my environment with different dataset, and it worked successfully.

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Prediction

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So, configuration for batch inference will be wrong or not appropriate for your data, check that once. And also check the detailed logs in output+logs -> user -> stdout -> 0 -> process000.std.txt.

Error on Azure ML - AutoMLPipelineBuilder

1 Answers1