Machine Learning utilities¶
Arbitrary MLflow models can be used with pandas-on-Spark Dataframes,
provided they implement the ‘pyfunc’ flavor. This is the case
for most frameworks supported by MLflow (scikit-learn, pytorch,
tensorflow, …). See comprehensive examples in
load_model() for more information.
The MLflow package must be installed in order to use this module.
A wrapper around MLflow’s Python object model.
Loads an MLflow model into a wrapper that can be used both for pandas and pandas-on-Spark DataFrame.