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Each dependency is a pip requirement file line https://pip.pypa.io/en/stable/reference/requirements-file-format/
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Allowed dependency could be <requirement specifier>, <archive url/path>, <local project path>(WSFS or Volumes in Databricks), <vcs project url>
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E.g. dependencies: ["foo==0.0.1", "-r /Workspace/test/requirements.txt"]
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"environment_version":
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"description": |-
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We renamed `client` to `environment_version` in notebook exports. This field is meant solely so that imported notebooks with `environment_version` can be deserialized
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correctly, in a backwards-compatible way (i.e. if `client` is specified instead of `environment_version`, it will be deserialized correctly). Do NOT use this field
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for any other purpose, e.g. notebook storage.
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This field is not yet exposed to customers (e.g. in the jobs API).
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"x-databricks-preview": |-
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PRIVATE
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"jar_dependencies":
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"description": |-
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List of jar dependencies, should be string representing volume paths. For example: `/Volumes/path/to/test.jar`.
The name of a served entity. It must be unique across an endpoint. A served entity name can consist of alphanumeric characters, dashes, and underscores. If not specified for an external model, this field defaults to external_model.name, with '.' and ':' replaced with '-', and if not specified for other entities, it defaults to entity_name-entity_version.
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"provisioned_model_units":
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"description": |-
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The number of model units provisioned.
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"scale_to_zero_enabled":
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"description": |-
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Whether the compute resources for the served entity should scale down to zero.
The name of a served entity. It must be unique across an endpoint. A served entity name can consist of alphanumeric characters, dashes, and underscores. If not specified for an external model, this field defaults to external_model.name, with '.' and ':' replaced with '-', and if not specified for other entities, it defaults to entity_name-entity_version.
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"provisioned_model_units":
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"description": |-
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The number of model units provisioned.
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"scale_to_zero_enabled":
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"description": |-
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Whether the compute resources for the served entity should scale down to zero.
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