Source code for tdc.multi_pred.gda

# -*- coding: utf-8 -*-
# Author: TDC Team
# License: MIT

import warnings

warnings.filterwarnings("ignore")
import sys

from ..utils import print_sys
from . import bi_pred_dataset, multi_pred_dataset
from ..metadata import dataset_names


class GDA(bi_pred_dataset.DataLoader):

    """Data loader class to load datasets in Gene-Disease Association Prediction task.
    More info: https://tdcommons.ai/multi_pred_tasks/gdi/


    Task Description: Regression.
                      Given the disease description and the amino acid sequence of the gene, predict their association.

    Args:
        name (str): the dataset name.
        path (str, optional):
            The path to save the data file, defaults to './data'
        label_name (str, optional):
            For multi-label dataset, specify the label name, defaults to None
        print_stats (bool, optional):
            Whether to print basic statistics of the dataset, defaults to False


    """

    def __init__(self, name, path="./data", label_name=None, print_stats=False):
        """Create Gene-Disease Association Prediction dataloader object"""
        super().__init__(
            name, path, label_name, print_stats, dataset_names=dataset_names["GDA"]
        )
        self.entity1_name = "Gene"
        self.entity2_name = "Disease"
        self.two_types = True

        if print_stats:
            self.print_stats()

        print("Done!", flush=True, file=sys.stderr)