Deploying a Model using Azure Machine Learning Service

Question

name: project_environment
dependencies:

The python interpreter version.

Currently Azure ML only supports 3.8 and later.

• pip<=22.1.2
• pip:
  • azureml-train-automl-runtime==1.44.0
  • inference-schema
  • azureml-interpret==1.44.0
  • azureml-defaults==1.44.0
  • datefinder
• numpy>=1.18.5,<=1.23.3
• pynacl<=1.5.0
• pandas==1.1.5
• scikit-learn==0.22.2.post1
• py-xgboost==1.3.3
• fbprophet==0.7.1
• holidays==0.11.3.1
• psutil<=5.9.1
  channels:
• anaconda
• conda-forgeRemoving intermediate container 6f1b1bcf415a
  ---> 9205898728ba
  Step 8/10 : RUN CONDA_ROOT_DIR=$(conda info --root) && if [ -n "$AZUREML_CONDA_ENVIRONMENT_PATH" ]; then conda env update -p "$AZUREML_CONDA_ENVIRONMENT_PATH" -f '/var/azureml-app/conda_env.yml'; else conda env update -n base -f '/var/azureml-app/conda_env.yml'; fi && conda clean -aqy && rm -rf /root/.cache/pip && rm -rf "$CONDA_ROOT_DIR/pkgs" && find "$CONDA_ROOT_DIR" -type d -name pycache -exec rm -rf {} +
  ---> Running in 8f7055e32ad7
  Collecting package metadata: ...working...
  done
  Solving environment: ...working...
  [91mKilled
  [0mThe command '/bin/sh -c CONDA_ROOT_DIR=$(conda info --root) && if [ -n "$AZUREML_CONDA_ENVIRONMENT_PATH" ]; then conda env update -p "$AZUREML_CONDA_ENVIRONMENT_PATH" -f '/var/azureml-app/conda_env.yml'; else conda env update -n base -f '/var/azureml-app/conda_env.yml'; fi && conda clean -aqy && rm -rf /root/.cache/pip && rm -rf "$CONDA_ROOT_DIR/pkgs" && find "$CONDA_ROOT_DIR" -type d -name pycache -exec rm -rf {} +' returned a non-zero code: 137
  2022/08/12 13:17:23 Container failed during run: acb_step_0. No retries remaining.
  failed to run step ID: acb_step_0: exit status 137
  Run ID: ch1y failed after 9m7s. Error: failed during run, err: exit status 1