# -*- coding: utf-8 -*-
# Author: TDC Team
# License: MIT
import sys
import warnings
warnings.filterwarnings("ignore")
from . import single_pred_dataset
from ..utils import print_sys
from ..metadata import dataset_names
[docs]class Paratope(single_pred_dataset.DataLoader):
"""Data loader class to load datasets in Paratope Prediction task. More info: https://tdcommons.ai/single_pred_tasks/paratope/
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
convert_format (str, optional):
Automatic conversion of SMILES to other molecular formats in MolConvert class. Stored as separate column in dataframe, defaults to None
"""
def __init__(
self,
name,
path="./data",
label_name=None,
print_stats=False,
convert_format=None,
):
"""Create a paratope prediction dataloader object."""
super().__init__(
name,
path,
label_name,
print_stats,
dataset_names=dataset_names["Paratope"],
convert_format=convert_format,
)
self.entity1_name = "Antibody"
if print_stats:
self.print_stats()
print("Done!", flush=True, file=sys.stderr)