wehub-resource-sync
31 lines
1.5 KiB
Python
31 lines
1.5 KiB
Python
"""
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An MLflow tracking server has two properties related to how data is stored: *backend store* to
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record ML experiments, runs, parameters, metrics, etc., and *artifact store* to store run
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artifacts like models, plots, images, etc.
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Several constants are used by multiple backend store implementations.
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"""
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# Path to default location for backend when using local FileStore or ArtifactStore.
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# Also used as default location for artifacts, when not provided, in non local file based backends
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# (eg MySQL)
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DEFAULT_LOCAL_FILE_AND_ARTIFACT_PATH = "./mlruns"
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DEFAULT_TRACKING_URI = "sqlite:///mlflow.db"
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# Used for defining the artifacts uri (`--default-artifact-root`) for the tracking server when
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# configuring the server to use the option `--serve-artifacts` mode. This default can be
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# overridden by specifying an override to `--default-artifact-root` for the MLflow tracking server.
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# When the server is not operating in `--serve-artifacts` configuration, the default artifact
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# storage location will be `DEFAULT_LOCAL_FILE_AND_ARTIFACT_PATH`.
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DEFAULT_ARTIFACTS_URI = "mlflow-artifacts:/"
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SEARCH_MAX_RESULTS_DEFAULT = 1000
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SEARCH_MAX_RESULTS_THRESHOLD = 50000
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GET_METRIC_HISTORY_MAX_RESULTS = 25000
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SEARCH_TRACES_DEFAULT_MAX_RESULTS = 100
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SEARCH_LOGGED_MODEL_MAX_RESULTS_DEFAULT = 100
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SEARCH_EVALUATION_DATASETS_MAX_RESULTS = 50
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SEARCH_ISSUES_DEFAULT_MAX_RESULTS = 100
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LOAD_DATASET_RECORDS_MAX_RESULTS = 1000
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MAX_RESULTS_GET_METRIC_HISTORY = 25000
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MAX_RESULTS_QUERY_TRACE_METRICS = 1000
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MAX_TRACE_LINKS_PER_REQUEST = 100
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