Source code for tdc.multi_pred.gda

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

import warnings

import sys

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

[docs]class GDA(bi_pred_dataset.DataLoader): """Data loader class to load datasets in Gene-Disease Association Prediction task. More info: 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)