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demo_config.yaml
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35 lines (33 loc) · 1.1 KB
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defaults:
- _self_
- mlflow: databricks
- logging: mlflow_logger
- generative_process: mess3
- persistence: mlflow_persister
- predictive_model: transformer
- optimizer: pytorch_adam
experiment_name: managed_run_demo_${now:%Y%m%d_%H%M%S}
run_name: managed_run_demo_${now:%Y%m%d_%H%M%S}
seed: 0
tags:
research_step: demo
retention: temp
example_tag_1: value1
example_tag_2: value2
load_configs:
- tracking_uri: databricks
experiment_name: /Shared/managed_run_demo_20251106_045326
# experiment_id: 123456789012345678 # optional alternative to experiment_name
run_name: managed_run_demo_20251106_045326
# run_id: 0123456789abcdef0123456789abcdef # optional alternative to run_name
artifact_path: config.yaml
configs:
predictive_model: old_model_1
generative_process: old_generative_process_1
- tracking_uri: databricks
experiment_name: /Shared/managed_run_demo_20251105_003639
run_name: managed_run_demo_20251105_003639
artifact_path: config.yaml
configs:
predictive_model: old_model_2
generative_process: old_generative_process_2