# cellclass

> Cell classification using machine learning models

## Docs

### API Reference

#### Datasets
> Loading labelled crops for training.

- [ROIDataset](https://hocheggerlab.github.io/omero-screen/cellclass/reference/ROIDataset.html): Dataset of image regions (ROIs) and integer class labels
- [prepare_dataset](https://hocheggerlab.github.io/omero-screen/cellclass/reference/prepare_dataset.html): Prepare an .npz dataset from a directory of .npy cell image files

#### Models
> Model construction and evaluation.

- [Model](https://hocheggerlab.github.io/omero-screen/cellclass/reference/Model.html): Supported classification model architectures
- [create_model](https://hocheggerlab.github.io/omero-screen/cellclass/reference/create_model.html): Create a classification model for cell image data
- [test_epoch](https://hocheggerlab.github.io/omero-screen/cellclass/reference/test_epoch.html): Run one evaluation pass and return true and predicted labels