cli-automl-forecasting-task-github-dau.yml

$schema: https://azuremlsdk2.blob.core.windows.net/preview/0.0.1/autoMLJob.schema.json
type: automl

experiment_name: dpv2-cli-automl-forecasting-github-dau-experiment
description: A Time-Series Forecasting job using Github DAU dataset that trains only the TCNForecaster model.


task: forecasting
primary_metric: normalized_root_mean_squared_error

log_verbosity: info

target_column_name: "count"
training_data:
  path: "./training-mltable-folder"
  type: mltable
validation_data:
  path: "./validation-mltable-folder"
  type: mltable

limits:
  timeout_minutes: 60
  max_concurrent_trials: 4
  enable_early_termination: true

forecasting:
  time_column_name: "date"
  forecast_horizon: 14

training:
  enable_dnn_training: true
  enable_stack_ensemble: false
  allowed_training_algorithms:
    - TCNForecaster
resources:
  instance_type: Standard_E4s_v3
  instance_count: 4