Installation 

There are multiple ways to install and use AutoMLx.

OCI DS Conda Pack 

AutoMLx is available in the OCI Data Science service in the AutoMLx conda pack.

PyPI Installation 

Version:

AutoMLX has several optional dependencies that can be used to add additional functionality. You can choose from one or more of :

classic, which installs the libraries needed to support AutoML for tabular classification,
regression and anomaly detection. explain, which installs the libraries needed to use the MLExplainer to compute machine
learning model explanations. recommendation, which installs the recommender models needed for the AutoML recommendation task
(only available through OCI DS in the AutoMLx Conda pack or through internal Oracle distribution). onnx, which installs the onnx-related libraries needed to export AutoML model to the ONNX format.
forecasting, which installs the forecasting models needed for the AutoML time-series forecaster.
deep-learning, which installs some torch-based deep-learning models for the AutoML classifier,
regressor, and anomaly detector. viz, which provides visualization functionality for explanations and the AutoML time-series forecaster.

pip install oracle-automlx[classic]==25.2.1