1ff8b283e56ce454be2ce16e242759ac9537340f,google_analytics/predict_spending.py,,,#,14
Before Change
if i not in list(final_test.columns):
print(i)
all_train = all_train.drop("campaignCode", axis=1)
//drop campaign code, transactionRevenue is what we are trying to predict
After Change
all_train = all_train.drop(flatline, axis = 1)
all_train.shape
flatline = [x for x in flatline if x != "campaignCode" ]
final_test = final_test.drop(flatline, axis=1)
final_test.shape
for i in list(all_train.columns):
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
Project Name: CNuge/kaggle-code
Commit Name: 1ff8b283e56ce454be2ce16e242759ac9537340f
Time: 2018-10-17
Author: nugentc@uoguelph.ca
File Name: google_analytics/predict_spending.py
Class Name:
Method Name:
Project Name: catalyst-cooperative/pudl
Commit Name: a5d1cf98f0ec5c72fb48336cafaf31bf11e6128e
Time: 2020-05-16
Author: cgosnell@catalyst.coop
File Name: src/pudl/analysis/mcoe.py
Class Name:
Method Name: mcoe
Project Name: catalyst-cooperative/pudl
Commit Name: a70d7c493fdcac1a1e34273c269e18210637b990
Time: 2017-11-08
Author: zane.selvans@catalyst.coop
File Name: pudl/outputs.py
Class Name:
Method Name: organize_cols