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51
...ponents-cli-automl-forecasting-demand-hierarchical-timeseries-hts_evaluation_pipeline.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| # This code is autogenerated. | ||
| # Code is generated by running custom script: python3 readme.py | ||
| # Any manual changes to this file may cause incorrect behavior. | ||
| # Any manual changes will be overwritten if the code is regenerated. | ||
|
|
||
| name: cli-jobs-pipelines-automl-cli-automl-forecasting-demand-with-pipeline-components-cli-automl-forecasting-demand-hierarchical-timeseries-hts_evaluation_pipeline | ||
| on: | ||
| workflow_dispatch: | ||
| schedule: | ||
| - cron: "55 9/12 * * *" | ||
| pull_request: | ||
| branches: | ||
| - main | ||
| paths: | ||
| - cli/jobs/pipelines/automl/cli-automl-forecasting-demand-with-pipeline-components/cli-automl-forecasting-demand-hierarchical-timeseries/** | ||
| - infra/bootstrapping/** | ||
| - .github/workflows/cli-jobs-pipelines-automl-cli-automl-forecasting-demand-with-pipeline-components-cli-automl-forecasting-demand-hierarchical-timeseries-hts_evaluation_pipeline.yml | ||
| - cli/run-pipeline-jobs.sh | ||
| - cli/setup.sh | ||
| concurrency: | ||
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | ||
| cancel-in-progress: true | ||
| jobs: | ||
| build: | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: check out repo | ||
| uses: actions/checkout@v2 | ||
| - name: azure login | ||
| uses: azure/login@v1 | ||
| with: | ||
| creds: ${{secrets.AZUREML_CREDENTIALS}} | ||
| - name: bootstrap resources | ||
| run: | | ||
| echo '${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}'; | ||
| bash bootstrap.sh | ||
| working-directory: infra/bootstrapping | ||
| continue-on-error: false | ||
| - name: setup-cli | ||
| run: | | ||
| source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh"; | ||
| source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh"; | ||
| bash setup.sh | ||
| working-directory: cli | ||
| continue-on-error: true | ||
| - name: run job | ||
| run: | | ||
| source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh"; | ||
| source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh"; | ||
| bash -x ../../../../../run-job.sh hts_evaluation_pipeline.yml | ||
| working-directory: cli/jobs/pipelines/automl/cli-automl-forecasting-demand-with-pipeline-components/cli-automl-forecasting-demand-hierarchical-timeseries |
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51
...-components-cli-automl-forecasting-demand-many-models-many_models_evaluation_pipeline.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,51 @@ | ||
| # This code is autogenerated. | ||
| # Code is generated by running custom script: python3 readme.py | ||
| # Any manual changes to this file may cause incorrect behavior. | ||
| # Any manual changes will be overwritten if the code is regenerated. | ||
|
|
||
| name: cli-jobs-pipelines-automl-cli-automl-forecasting-demand-with-pipeline-components-cli-automl-forecasting-demand-many-models-many_models_evaluation_pipeline | ||
| on: | ||
| workflow_dispatch: | ||
| schedule: | ||
| - cron: "23 6/12 * * *" | ||
| pull_request: | ||
| branches: | ||
| - main | ||
| paths: | ||
| - cli/jobs/pipelines/automl/cli-automl-forecasting-demand-with-pipeline-components/cli-automl-forecasting-demand-many-models/** | ||
| - infra/bootstrapping/** | ||
| - .github/workflows/cli-jobs-pipelines-automl-cli-automl-forecasting-demand-with-pipeline-components-cli-automl-forecasting-demand-many-models-many_models_evaluation_pipeline.yml | ||
| - cli/run-pipeline-jobs.sh | ||
| - cli/setup.sh | ||
| concurrency: | ||
| group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | ||
| cancel-in-progress: true | ||
| jobs: | ||
| build: | ||
| runs-on: ubuntu-latest | ||
| steps: | ||
| - name: check out repo | ||
| uses: actions/checkout@v2 | ||
| - name: azure login | ||
| uses: azure/login@v1 | ||
| with: | ||
| creds: ${{secrets.AZUREML_CREDENTIALS}} | ||
| - name: bootstrap resources | ||
| run: | | ||
| echo '${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}'; | ||
| bash bootstrap.sh | ||
| working-directory: infra/bootstrapping | ||
| continue-on-error: false | ||
| - name: setup-cli | ||
| run: | | ||
| source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh"; | ||
| source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh"; | ||
| bash setup.sh | ||
| working-directory: cli | ||
| continue-on-error: true | ||
| - name: run job | ||
| run: | | ||
| source "${{ github.workspace }}/infra/bootstrapping/sdk_helpers.sh"; | ||
| source "${{ github.workspace }}/infra/bootstrapping/init_environment.sh"; | ||
| bash -x ../../../../../run-job.sh many_models_evaluation_pipeline.yml | ||
| working-directory: cli/jobs/pipelines/automl/cli-automl-forecasting-demand-with-pipeline-components/cli-automl-forecasting-demand-many-models |
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9 changes: 9 additions & 0 deletions
9
...ting-demand-hierarchical-timeseries/How to Run this AutoML Job with CLI (Forecasting).txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,9 @@ | ||
| How to Run this AutoML Job with CLI (Time-Series Forecasting) | ||
| =============================================================== | ||
|
|
||
|
|
||
| Run the AutoML CLI command pointing to the .YML file in this folder plus the Azure ML IDs needed: | ||
| ---------------------------------------------------------------------------------------------------- | ||
|
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||
|
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| /> az ml job create --file ./hts_evaluation_pipeline.yml --workspace-name [YOUR_AZURE_WORKSPACE] --resource-group [YOUR_AZURE_RESOURCE_GROUP] --subscription [YOUR_AZURE_SUBSCRIPTION] |
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18
...-components/cli-automl-forecasting-demand-hierarchical-timeseries/automl_settings_hts.yml
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|---|---|---|
| @@ -0,0 +1,18 @@ | ||
| debug_log: debug.txt | ||
| enable_early_stopping: true | ||
| forecast_horizon: 24 | ||
| forecast_step: 24 | ||
| hierarchy_column_names: | ||
| - group_id | ||
| - customer_id | ||
| hierarchy_training_level: customer_id | ||
| label_column_name: usage | ||
| max_trials: 25 | ||
| n_cross_validations: 3 | ||
| cv_step_size: 24 | ||
| primary_metric: normalized_root_mean_squared_error | ||
| task: forecasting | ||
| time_column_name: datetime | ||
| timeout_minutes: 60 | ||
| track_child_runs: false | ||
| trial_timeout_minutes: 5 |
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...ponents/cli-automl-forecasting-demand-hierarchical-timeseries/hts_evaluation_pipeline.yml
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|---|---|---|
| @@ -0,0 +1,85 @@ | ||
| $schema: https://azuremlschemas.azureedge.net/latest/pipelineJob.schema.json | ||
| type: pipeline | ||
|
|
||
| description: HTS evaluation pipeline using AutoML | ||
|
|
||
| display_name: hts-evaluation-pipeline | ||
| experiment_name: automl-hts-evaluation-pipeline | ||
|
|
||
| settings: | ||
| default_compute: azureml:cpu-cluster | ||
|
|
||
| inputs: | ||
| raw_data: | ||
| type: uri_folder | ||
| path: ../data/train | ||
| inference_data: | ||
| type: uri_folder | ||
| path: ../data/test | ||
| automl_config: | ||
| type: uri_file | ||
| path: automl_settings_hts.yml | ||
| max_concurrency_per_node: 2 | ||
| parallel_step_timeout_in_seconds: 3700 | ||
| max_nodes: 5 | ||
| forecast_level: "customer_id" | ||
| forecast_mode: "rolling" | ||
| forecast_step: 24 | ||
| compute_name: "cpu-cluster" | ||
|
|
||
| outputs: | ||
| forecast_results: | ||
| type: uri_file | ||
| mode: upload | ||
| evaluation_results: | ||
| type: uri_folder | ||
| mode: upload | ||
|
|
||
| jobs: | ||
| automl_hts_training: | ||
| type: command | ||
| component: azureml://registries/azureml-preview/components/automl_hts_training | ||
| inputs: | ||
| raw_data: ${{parent.inputs.raw_data}} | ||
| automl_config: ${{parent.inputs.automl_config}} | ||
| max_nodes: ${{parent.inputs.max_nodes}} | ||
| max_concurrency_per_node: ${{parent.inputs.max_concurrency_per_node}} | ||
| parallel_step_timeout_in_seconds: ${{parent.inputs.parallel_step_timeout_in_seconds}} | ||
| compute_name: ${{parent.inputs.compute_name}} | ||
| outputs: | ||
| run_output: | ||
| type: uri_folder | ||
|
|
||
| automl_hts_inference: | ||
| type: command | ||
| component: azureml://registries/azureml-preview/components/automl_hts_inference | ||
| inputs: | ||
| raw_data: ${{parent.inputs.inference_data}} | ||
| forecast_level: ${{parent.inputs.forecast_level}} | ||
| max_concurrency_per_node: ${{parent.inputs.max_concurrency_per_node}} | ||
| parallel_step_timeout_in_seconds: ${{parent.inputs.parallel_step_timeout_in_seconds}} | ||
| forecast_mode: ${{parent.inputs.forecast_mode}} | ||
| forecast_step: ${{parent.inputs.forecast_step}} | ||
| max_nodes: ${{parent.inputs.max_nodes}} | ||
| optional_train_metadata: ${{parent.jobs.automl_hts_training.outputs.run_output}} | ||
| compute_name: ${{parent.inputs.compute_name}} | ||
| outputs: | ||
| run_output: | ||
| type: uri_folder | ||
| evaluation_configs: | ||
| type: uri_file | ||
| evaluation_data: | ||
| type: uri_file | ||
| path: ${{parent.outputs.forecast_results}} | ||
|
|
||
| compute_metrics: | ||
| type: command | ||
| component: azureml://registries/azureml/components/compute_metrics | ||
| inputs: | ||
| task: "tabular-forecasting" | ||
| ground_truth: ${{parent.jobs.automl_hts_inference.outputs.evaluation_data}} | ||
| prediction: ${{parent.jobs.automl_hts_inference.outputs.evaluation_data}} | ||
| evaluation_config: ${{parent.jobs.automl_hts_inference.outputs.evaluation_configs}} | ||
| compute: ${{parent.inputs.compute_name}} | ||
| outputs: | ||
| evaluation_result: ${{parent.outputs.evaluation_results}} |
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9
...toml-forecasting-demand-many-models/How to Run this AutoML Job with CLI (Forecasting).txt
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,9 @@ | ||
| How to Run this AutoML Job with CLI (Time-Series Forecasting) | ||
| =============================================================== | ||
|
|
||
|
|
||
| Run the AutoML CLI command pointing to the .YML file in this folder plus the Azure ML IDs needed: | ||
| ---------------------------------------------------------------------------------------------------- | ||
|
|
||
|
|
||
| /> az ml job create --file ./many_models_evaluation_pipeline.yml --workspace-name [YOUR_AZURE_WORKSPACE] --resource-group [YOUR_AZURE_RESOURCE_GROUP] --subscription [YOUR_AZURE_SUBSCRIPTION] |
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19
...line-components/cli-automl-forecasting-demand-many-models/automl_settings_many_models.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,19 @@ | ||
| allow_multi_partitions: false | ||
| debug_log: debug.txt | ||
| enable_early_stopping: true | ||
| forecast_horizon: 24 | ||
| forecast_step: 24 | ||
| label_column_name: usage | ||
| max_trials: 25 | ||
| n_cross_validations: 3 | ||
| cv_step_size: 24 | ||
| partition_column_names: | ||
| - customer_id | ||
| primary_metric: normalized_root_mean_squared_error | ||
| task: forecasting | ||
| time_column_name: datetime | ||
| time_series_id_column_names: | ||
| - customer_id | ||
| timeout_minutes: 60 | ||
| track_child_runs: false | ||
| trial_timeout_minutes: 5 |
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...-components/cli-automl-forecasting-demand-many-models/many_models_evaluation_pipeline.yml
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,85 @@ | ||
| $schema: https://azuremlschemas.azureedge.net/latest/pipelineJob.schema.json | ||
| type: pipeline | ||
|
|
||
| description: Many models evaluation pipeline using AutoML | ||
|
|
||
| display_name: mm-evaluation-pipeline | ||
| experiment_name: automl-mm-evaluation-pipeline | ||
|
|
||
| settings: | ||
| default_compute: azureml:cpu-cluster | ||
|
|
||
| inputs: | ||
| raw_data: | ||
| type: uri_folder | ||
| path: ../data/train | ||
| inference_data: | ||
| type: uri_folder | ||
| path: ../data/test | ||
| automl_config: | ||
| type: uri_file | ||
| path: automl_settings_many_models.yml | ||
| max_concurrency_per_node: 2 | ||
| parallel_step_timeout_in_seconds: 3700 | ||
| max_nodes: 5 | ||
| retrain_failed_model: true | ||
| forecast_mode: "rolling" | ||
| forecast_step: 24 | ||
| compute_name: "cpu-cluster" | ||
|
|
||
| outputs: | ||
| forecast_results: | ||
| type: uri_file | ||
| mode: upload | ||
| evaluation_results: | ||
| type: uri_folder | ||
| mode: upload | ||
|
|
||
| jobs: | ||
| automl_mm_training: | ||
| type: command | ||
| component: azureml://registries/azureml-preview/components/automl_many_models_training | ||
| inputs: | ||
| raw_data: ${{parent.inputs.raw_data}} | ||
| automl_config: ${{parent.inputs.automl_config}} | ||
| max_nodes: ${{parent.inputs.max_nodes}} | ||
| max_concurrency_per_node: ${{parent.inputs.max_concurrency_per_node}} | ||
| parallel_step_timeout_in_seconds: ${{parent.inputs.parallel_step_timeout_in_seconds}} | ||
| retrain_failed_model: ${{parent.inputs.retrain_failed_model}} | ||
| compute_name: ${{parent.inputs.compute_name}} | ||
| outputs: | ||
| run_output: | ||
| type: uri_folder | ||
|
|
||
| automl_mm_inference: | ||
| type: command | ||
| component: azureml://registries/azureml-preview/components/automl_many_models_inference | ||
| inputs: | ||
| raw_data: ${{parent.inputs.inference_data}} | ||
| max_concurrency_per_node: ${{parent.inputs.max_concurrency_per_node}} | ||
| parallel_step_timeout_in_seconds: ${{parent.inputs.parallel_step_timeout_in_seconds}} | ||
| forecast_mode: ${{parent.inputs.forecast_mode}} | ||
| forecast_step: ${{parent.inputs.forecast_step}} | ||
| max_nodes: ${{parent.inputs.max_nodes}} | ||
| optional_train_metadata: ${{parent.jobs.automl_mm_training.outputs.run_output}} | ||
| compute_name: ${{parent.inputs.compute_name}} | ||
| outputs: | ||
| run_output: | ||
| type: uri_folder | ||
| evaluation_configs: | ||
| type: uri_file | ||
| evaluation_data: | ||
| type: uri_file | ||
| path: ${{parent.outputs.forecast_results}} | ||
|
|
||
| compute_metrics: | ||
| type: command | ||
| component: azureml://registries/azureml/components/compute_metrics | ||
| inputs: | ||
| task: "tabular-forecasting" | ||
| ground_truth: ${{parent.jobs.automl_mm_inference.outputs.evaluation_data}} | ||
| prediction: ${{parent.jobs.automl_mm_inference.outputs.evaluation_data}} | ||
| evaluation_config: ${{parent.jobs.automl_mm_inference.outputs.evaluation_configs}} | ||
| compute: ${{parent.inputs.compute_name}} | ||
| outputs: | ||
| evaluation_result: ${{parent.outputs.evaluation_results}} |
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