Overview

Nextmv: The home for all your optimization work

The Nextmv & scikit-learn Python SDK, nextmv-scikit-learn, is a package to interact programmatically with Nextmv and the scikit-learn machine library, from Python. A great way to get started is to check out the community apps. The following apps are a non-exhaustive list of concrete examples for using this SDK:

• python-nextmv-scikit-learn-diabetes

Warning

Please note that nextmv-scikit-learn is provided as source-available software (not open-source). For further information, please refer to the LICENSE file.

The nextmv-scikit-learn package is a wrapper around the scikit-learn library to make it easy to use with Nextmv. It provides support for these models:

• dummy:
• DummyRegressor
• ensemble:
• GradientBoostingRegressor
• RandomForestRegressor
• linear_model:
• LinearRegression
• neural_network:
• MLPRegressor
• tree:
• DecisionTreeRegressor

Installation

The package is hosted on PyPI. Python >=3.9 is required.

Install via pip:

pip install nextmv-scikit-learn

Tip

Note that nextmv-scikit-learn installs the nextmv_sklearn package, which is the importable name for the SDK.