upgrade forecasting components (#3563)
This commit is contained in:
Rahul Kumar
GitHub
Родитель
3defa2e329
Коммит
4c2a6914bc
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@ -4,7 +4,7 @@ type: pipeline
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name: automl_hts_inference
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display_name: AutoML Hierarchical Timeseries Forecasting - Inference
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description: Enables inference for hts components.
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version: 0.0.6
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version: 0.0.7
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is_deterministic: false
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inputs:
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@ -74,7 +74,7 @@ outputs:
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jobs:
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automl_hts_inference_setup:
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type: command
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component: azureml:automl_hts_inference_setup_step:0.0.6
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component: azureml:automl_hts_inference_setup_step:0.0.7
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inputs:
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raw_Data: ${{parent.inputs.raw_data}}
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enable_event_logger: True
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@ -97,7 +97,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_hts_model_inference:
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type: parallel
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component: azureml:automl_hts_prs_inference_step:0.0.6
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component: azureml:automl_hts_prs_inference_step:0.0.7
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inputs:
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partitioned_data: ${{parent.jobs.automl_hts_inference_setup.outputs.processed_data}}
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metadata: ${{parent.jobs.automl_hts_inference_setup.outputs.metadata}}
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@ -121,7 +121,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_hts_inference_collect_step:
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type: command
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component: azureml:automl_hts_inference_collect_step:0.0.6
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component: azureml:automl_hts_inference_collect_step:0.0.7
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inputs:
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setup_metadata: ${{parent.jobs.automl_hts_inference_setup.outputs.metadata}}
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input_metadata: ${{parent.jobs.automl_hts_model_inference.outputs.output_metadata}}
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: automl_hts_inference_collect_step
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version: 0.0.6
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version: 0.0.7
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display_name: AutoML HTS - Inference Collect
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type: command
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: automl_hts_inference_setup_step
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version: 0.0.6
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version: 0.0.7
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display_name: AutoML HTS - Inference Setup
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type: command
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/pipelineJob.schema.json
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type: parallel
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version: 0.0.6
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version: 0.0.7
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name: automl_hts_prs_inference_step
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display_name: AutoML HTS - Inference Step
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/parallelComponent.schema.json
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type: parallel
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version: 0.0.6
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version: 0.0.7
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name: automl_hts_data_aggregation_step
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display_name: AutoML HTS - Training Data Aggregation
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/parallelComponent.schema.json
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type: parallel
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version: 0.0.6
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version: 0.0.7
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name: automl_hts_automl_training_step
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display_name: AutoML HTS - AutoML Training
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@ -4,7 +4,7 @@ type: pipeline
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name: automl_hts_training
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display_name: AutoML Hierarchical Timeseries Forecasting - Training
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description: Enables AutoML Training for hts components.
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version: 0.0.6
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version: 0.0.7
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is_deterministic: false
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inputs:
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@ -40,7 +40,7 @@ outputs:
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jobs:
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automl_hts_train_setup_step:
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type: command
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component: azureml:automl_hts_training_setup_step:0.0.6
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component: azureml:automl_hts_training_setup_step:0.0.7
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inputs:
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raw_Data: ${{parent.inputs.raw_data}}
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automl_config: ${{parent.inputs.automl_config}}
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@ -56,7 +56,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_hts_data_aggregation_step:
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type: parallel
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component: azureml:automl_hts_data_aggregation_step:0.0.6
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component: azureml:automl_hts_data_aggregation_step:0.0.7
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inputs:
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partitioned_data: ${{parent.jobs.automl_hts_train_setup_step.outputs.processed_data}}
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metadata: ${{parent.jobs.automl_hts_train_setup_step.outputs.metadata}}
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@ -80,7 +80,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_hts_automl_training_step:
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type: parallel
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component: azureml:automl_hts_automl_training_step:0.0.6
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component: azureml:automl_hts_automl_training_step:0.0.7
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inputs:
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aggregated_data: ${{parent.jobs.automl_hts_data_aggregation_step.outputs.aggregated_data}}
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data_agg_metadata: ${{parent.jobs.automl_hts_data_aggregation_step.outputs.output_metadata}}
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@ -104,7 +104,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_hts_train_collect_step:
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type: command
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component: azureml:automl_hts_training_collect_step:0.0.6
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component: azureml:automl_hts_training_collect_step:0.0.7
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inputs:
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setup_metadata: ${{parent.jobs.automl_hts_train_setup_step.outputs.metadata}}
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input_metadata: ${{parent.jobs.automl_hts_automl_training_step.outputs.output_metadata}}
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: automl_hts_training_collect_step
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version: 0.0.6
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version: 0.0.7
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display_name: AutoML HTS - Collection Training Results
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type: command
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: automl_hts_training_setup_step
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version: 0.0.6
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version: 0.0.7
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display_name: AutoML HTS - Training Setup
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type: command
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@ -2,7 +2,7 @@ $schema: https://azuremlschemas.azureedge.net/latest/parallelComponent.schema.js
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name: automl_many_models_training_step
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display_name: AutoML Many Models - AutoML Training
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version: 0.0.6
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version: 0.0.7
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is_deterministic: false
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type: parallel
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@ -4,7 +4,7 @@ type: pipeline
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name: automl_many_models_training
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display_name: AutoML - Many Models Training
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description: Enables AutoML many models training.
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version: 0.0.6
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version: 0.0.7
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is_deterministic: false
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inputs:
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@ -44,7 +44,7 @@ outputs:
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jobs:
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automl_many_models_training_setup_step:
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type: command
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component: azureml:automl_many_models_training_setup_step:0.0.6
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component: azureml:automl_many_models_training_setup_step:0.0.7
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inputs:
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raw_Data: ${{parent.inputs.raw_data}}
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automl_config: ${{parent.inputs.automl_config}}
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@ -61,7 +61,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_many_models_training_step:
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type: parallel
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component: azureml:automl_many_models_training_step:0.0.6
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component: azureml:automl_many_models_training_step:0.0.7
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inputs:
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partitioned_data: ${{parent.jobs.automl_many_models_training_setup_step.outputs.processed_data}}
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metadata: ${{parent.jobs.automl_many_models_training_setup_step.outputs.metadata}}
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@ -84,7 +84,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_many_models_training_collect_step:
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type: command
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component: azureml:automl_many_models_training_collection_step:0.0.6
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component: azureml:automl_many_models_training_collection_step:0.0.7
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inputs:
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setup_metadata: ${{parent.jobs.automl_many_models_training_setup_step.outputs.metadata}}
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input_metadata: ${{parent.jobs.automl_many_models_training_step.outputs.output_metadata}}
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: automl_many_models_training_collection_step
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version: 0.0.6
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version: 0.0.7
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display_name: AutoML Many Models - Collection Training Results
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is_deterministic: false
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type: command
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: automl_many_models_training_setup_step
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version: 0.0.6
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version: 0.0.7
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display_name: AutoML Many Models - Training Setup Step
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is_deterministic: false
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type: command
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@ -3,7 +3,7 @@ name: automl_tabular_data_partitioning
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type: spark
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display_name: AutoML - Tabular Data Partitioning
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description: Enables dataset partitioning for AutoML many models and hierarchical timeseries solution accelerators using spark.
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version: 0.0.6
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version: 0.0.7
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is_deterministic: false
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code: ../../src/spark_partition/
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@ -4,7 +4,7 @@ type: pipeline
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name: automl_many_models_inference
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display_name: AutoML Many Models - Inference
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description: Inference components for AutoML many model.
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version: 0.0.6
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version: 0.0.7
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is_deterministic: false
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inputs:
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@ -93,7 +93,7 @@ outputs:
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jobs:
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automl_many_models_inference_setup_step:
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type: command
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component: azureml:automl_many_models_inference_setup_step:0.0.6
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component: azureml:automl_many_models_inference_setup_step:0.0.7
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inputs:
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raw_Data: ${{parent.inputs.raw_data}}
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enable_event_logger: True
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@ -120,7 +120,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_many_models_inferencing_step:
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type: parallel
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component: azureml:automl_many_models_inference_step:0.0.6
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component: azureml:automl_many_models_inference_step:0.0.7
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inputs:
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partitioned_data: ${{parent.jobs.automl_many_models_inference_setup_step.outputs.processed_data}}
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metadata: ${{parent.jobs.automl_many_models_inference_setup_step.outputs.metadata}}
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@ -145,7 +145,7 @@ jobs:
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compute: ${{parent.inputs.compute_name}}
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automl_many_models_inference_collect_step:
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type: command
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component: azureml:automl_many_models_inference_collect_step:0.0.6
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component: azureml:automl_many_models_inference_collect_step:0.0.7
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inputs:
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setup_metadata: ${{parent.jobs.automl_many_models_inference_setup_step.outputs.metadata}}
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input_metadata: ${{parent.jobs.automl_many_models_inferencing_step.outputs.output_metadata}}
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: automl_many_models_inference_collect_step
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version: 0.0.6
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version: 0.0.7
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display_name: AutoML Many Models - Collection Inference Results
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is_deterministic: false
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type: command
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@ -2,7 +2,7 @@ $schema: https://azuremlschemas.azureedge.net/latest/pipelineJob.schema.json
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name: automl_many_models_inference_step
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display_name: AutoML Many Models - Inference Step
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version: 0.0.6
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version: 0.0.7
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is_deterministic: false
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type: parallel
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@ -1,6 +1,6 @@
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$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json
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name: automl_many_models_inference_setup_step
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version: 0.0.6
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version: 0.0.7
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display_name: AutoML Many Models - Inference Setup Step
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is_deterministic: false
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type: command
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@ -2,7 +2,7 @@ $schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.jso
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name: automl_forecasting_inference
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display_name: AutoML Forecasting Inference
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description: Inference component for AutoML Forecasting.
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version: 0.0.9
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version: 0.0.10
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type: command
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inputs:
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