histocartography.interpretability.base_explainer module¶

Base explainer.

Summary¶

Classes:

BaseExplainer

Base pipelines step

class BaseExplainer(model: Optional[torch.nn.modules.module.Module] = None, **kwargs)[source]¶

Bases: histocartography.pipeline.PipelineStep

Base pipelines step

__init__(model: Optional[torch.nn.modules.module.Module] = None, **kwargs) → None[source]¶

Abstract class that defines an explainer.

Parameters

model_path (Optional[str], optional) – Model path to pre-trained model. The path can be local or an MLflow URL. Defaults to None.
model (Optional[torch.nn.Module], optional) – PyTorch model to use. Defaults to None.

Reference¶

If you use histocartography in your projects, please cite the following:

@inproceedings{pati2021,
    title = {Hierarchical Graph Representations for Digital Pathology},
    author = {Pushpak Pati, Guillaume Jaume, Antonio Foncubierta, Florinda Feroce, Anna Maria Anniciello, Giosuè Scognamiglio, Nadia Brancati, Maryse Fiche, Estelle Dubruc, Daniel Riccio, Maurizio Di Bonito, Giuseppe De Pietro, Gerardo Botti, Jean-Philippe Thiran, Maria Frucci, Orcun Goksel, Maria Gabrani},
    booktitle = {https://arxiv.org/pdf/2102.11057},
    year = {2021}
}