text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png
import cudf

PATH = '/kaggle/input/optiver-realized-volatility-prediction'
def load_data(mode, path='/kaggle/input/optiver-realized-volatility-prediction'):
    file_name = f'{path}/{mode}.csv'
    return cudf.read_csv(file_name)
dev_df = load_data('train', path=PATH)

SCALE = 100
dev_df['target'] = SCALE * dev_df['target']
stock_ids = dev_df['stock_id'].unique()
len(stock_ids)