b7990885d8b26b9404fd9ce952b0b2f005019594,california_housing/feature_engineering.py,,,#,176
Before Change
//run number 2 to determine both the nearest city, and then
//also the nearest city with 1million people (subset the original dict)
city_pop_dict = {}
for dat in city_pop_data.iterrows():
row = dat[1]
city_pop_dict[row["City"]] = row["pop_april_1990"]
After Change
X_train = train_set.drop("median_house_value", axis=1)
y_train = train_set["median_house_value"].values.astype(float)
X_test = test_set.drop("median_house_value", axis=1)
y_test = test_set["median_house_value"].values.astype(float)
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 3
Instances Project Name: CNuge/kaggle-code
Commit Name: b7990885d8b26b9404fd9ce952b0b2f005019594
Time: 2018-01-12
Author: nugentc@uoguelph.ca
File Name: california_housing/feature_engineering.py
Class Name:
Method Name:
Project Name: shaypal5/pdpipe
Commit Name: 99095d5412483ec623278bdb1a0c9e24b18bfc85
Time: 2017-03-16
Author: shaypal5@gmail.com
File Name: pdpipe/basic_stages.py
Class Name: Bin
Method Name: _op
Project Name: etal/cnvkit
Commit Name: 595b2e87cd6c77b3a95b061fa3678561a4987134
Time: 2017-01-01
Author: eric.talevich@gmail.com
File Name: cnvlib/coverage.py
Class Name:
Method Name: interval_coverages
Project Name: shaypal5/pdpipe
Commit Name: 99095d5412483ec623278bdb1a0c9e24b18bfc85
Time: 2017-03-16
Author: shaypal5@gmail.com
File Name: pdpipe/basic_stages.py
Class Name: MapColVals
Method Name: _op