TNO Quantum

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

Datasets

The datasets package is part of TNO Quantum. The package contains wrapper functions around some of the functionality of sklearn.datasets for ease of use, reproducibility and consistency.

Quick install

Datasets can be installed using pip as follows:

pip install tno.quantum.ml.datasets

Example

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()
>>> print(f"{X_train.shape=}\n{y_train.shape=}\n{X_val.shape=}\n{y_val.shape=}")
X_train.shape=(112, 4)
y_train.shape=(112,)
X_val.shape=(38, 4)
y_val.shape=(38,)

Contents:

• datasets package
  • get_blobs_clustering_dataset()
  • get_circles_dataset()
  • get_iris_dataset()
  • get_linearly_separables_dataset()
  • get_moons_dataset()
  • get_wine_dataset()

(End)use Limitations

The content of this software may solely be used for applications that comply with international export control laws.