e_fold_2',
'Separated_fold_2', 'Married-civ-spouse_fold_2', 'Widowed_fold_2',
'Divorced_fold_2', 'Never-married_fold_2']
for folds in range(k_folds):
for column in orig_list:
col_namer = []
for fold in range(k_folds):
if fold != folds:
col_namer.appe
Hi,
Using -
Python 3.6
Spark 2.3
Original DF -
key a_fold_0 b_fold_0 a_fold_1 b_fold_1 a_fold_2 b_fold_2
1 1 2 3 4 5 6
2 7 5 3 5 2 1
I want to calculate means from the below dataframe as follows (like this
for all columns and all folds) -
key a_fold_0 b_fold_0 a_fold_1 b_fold_1 a_fold_2 b_fol
