>>> data_handling(( ... {'data':'[ 8.3252 41. 6.9841269 1.02380952 322. 2.55555556 37.88 -122.23 ]' ... ,'target':([4.526])})) ('[ 8.3252 41. 6.9841269 1.02380952 322. 2.55555556 37.88 -122.23 ]', [4.526])
(data: dict)
| 7 | |
| 8 | |
| 9 | def data_handling(data: dict) -> tuple: |
| 10 | # Split dataset into features and target. Data is features. |
| 11 | """ |
| 12 | >>> data_handling(( |
| 13 | ... {'data':'[ 8.3252 41. 6.9841269 1.02380952 322. 2.55555556 37.88 -122.23 ]' |
| 14 | ... ,'target':([4.526])})) |
| 15 | ('[ 8.3252 41. 6.9841269 1.02380952 322. 2.55555556 37.88 -122.23 ]', [4.526]) |
| 16 | """ |
| 17 | return (data["data"], data["target"]) |
| 18 | |
| 19 | |
| 20 | def xgboost( |