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venv/lib/python3.9/site-packages/mlflow/rfunc/__init__.py

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