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drift/data_loader/process_data.py
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import pandas as pd
from utils.helpers import has_enough_samples_to_train
import warnings
def check_data(X:pd.DataFrame, y:pd.Series, training_config:dict):
""" Returns True if data is valid, else returns False."""
if has_enough_samples_to_train(X, y, training_config) == False:
warnings.warn("Not enough samples to train")
return False
return True