TNO Quantum: Datasets

TNO Quantum provides generic software components aimed at facilitating the development of quantum applications.

The tno.quantum.ml.datasets package wraps some of the functionality of the sklearn.datasets. This package is used for testing the tno.quantum.ml classifiers and clustering algorithms in an easy, reproducible, and consistent way.

Limitations in (end-)use: the content of this software package may solely be used for applications that comply with international export control laws.

Documentation

Documentation of the tno.quantum.ml.datasets package can be found here.

Install

Easily install the tno.quantum.ml.datasets package using pip:

$ python -m pip install tno.quantum.ml.datasets

If you wish to run the tests you can use:

$ python -m pip install 'tno.quantum.ml.datasets[tests]'

Usage

Here's an example of how the datasets package can be used to load an iris dataset.

from tno.quantum.ml.datasets import get_iris_dataset
X_train, y_train, X_val, y_val = get_iris_dataset()