group by 후 custom된 집계함수 사용

import numpy as np
import pandas as pd
from sklearn.metrics import r2_score, mean_squared_error

def r2_rmse( g ):
    r2 = r2_score( g['Actual'], g['Predicted'] )
    rmse = np.sqrt( mean_squared_error( g['Actual'], g['Predicted'] ) )
    return pd.Series( dict(  r2 = r2, rmse = rmse ) )

your_df.groupby( 'Type' ).apply( r2_rmse ).reset_index()

data frame에서 group by 후 custom된 집계함수 사용