mlflow_save_model: Save Model for MLflow

Description Usage Arguments

View source: R/model.R

Description

Saves model in MLflow format that can later be used for prediction and serving. This method is generic to allow package authors to save custom model types.

Usage

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## S3 method for class 'crate'
mlflow_save_model(model, path, model_spec = list(), ...)

## S3 method for class 'keras.engine.training.Model'
mlflow_save_model(model, path, model_spec = list(), conda_env = NULL, ...)

mlflow_save_model(model, path, model_spec = list(), ...)

Arguments

model

The model that will perform a prediction.

path

Destination path where this MLflow compatible model will be saved.

model_spec

MLflow model config this model flavor is being added to.

...

Optional additional arguments.

conda_env

Path to Conda dependencies file.


mlflow documentation built on July 22, 2020, 1:07 a.m.