wehub-resource-sync
43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
"""Export and import of generic R models.
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This module defines generic filesystem format for R models and provides utilities
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for saving and loading to and from this format. The format is self contained in the sense
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that it includes all necessary information for anyone to load it and use it. Dependencies
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are either stored directly with the model or referenced via a Conda environment.
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The convention for rfunc models is to have a ``predict`` method or function with the following
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signature::
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predict(data: DataFrame) -> DataFrame
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This convention is relied on by other MLflow components.
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Rfunc model format is defined as a directory structure containing all required data, code, and
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configuration:
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.. code::
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./dst-path/
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./MLmodel: configuration
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It must contain MLmodel file in its root with "r_function" format.
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Example:
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.. code:: shell
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>tree R/mlflow/R/inst/examples/R/lm/model
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├── MLmodel
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└── r_model.bin
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>cat R/mlflow/R/inst/examples/R/lm/model/MLmodel
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time_created: 1.5337659e+09
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flavors:
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r_function:
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version: 0.1.0
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model: r_model.bin
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"""
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FLAVOR_NAME = "crate"
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