data ¶

Data handling and processing module.

This module provides functionality for loading, transforming, and managing data in various formats like CSV. It includes classes and utilities for:

• Loading and processing CSV data files
• Applying data transformations and augmentations
• Splitting data into train/validation/test sets
• Converting data into PyTorch datasets

Modules:

• data_handlers –

  This module provides classes for handling CSV data files in the STIMULUS format.

• encoding –

  Encoding package for data transformation.

• handlertorch –

  This file provides the class API for handling the data in pytorch using the Dataset and Dataloader classes.

• loaders –

  Loaders serve as interfaces between the CSV master class and custom methods.

• splitters –

  This package provides splitter classes for splitting data into train, validation, and test sets.

• transform –

  Transform package for data manipulation.