Spaces:
Sleeping
Sleeping
Update train/train.py
Browse files- train/train.py +8 -1
train/train.py
CHANGED
|
@@ -1,9 +1,16 @@
|
|
| 1 |
import pandas as pd
|
| 2 |
-
import lightgbm as lgb
|
| 3 |
from sklearn.model_selection import train_test_split
|
| 4 |
from sklearn.preprocessing import LabelEncoder
|
| 5 |
from imblearn.over_sampling import SMOTE
|
| 6 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 7 |
# Load the dataset
|
| 8 |
file_path = 'datasets' # Update with your dataset path
|
| 9 |
df = pd.read_excel(file_path + '/dataset.xlsx')
|
|
|
|
| 1 |
import pandas as pd
|
|
|
|
| 2 |
from sklearn.model_selection import train_test_split
|
| 3 |
from sklearn.preprocessing import LabelEncoder
|
| 4 |
from imblearn.over_sampling import SMOTE
|
| 5 |
|
| 6 |
+
try:
|
| 7 |
+
import lightgbm as lgb
|
| 8 |
+
except:
|
| 9 |
+
print("An exception occurred")
|
| 10 |
+
!pip install lightgbm
|
| 11 |
+
import lightgbm as lgb
|
| 12 |
+
|
| 13 |
+
|
| 14 |
# Load the dataset
|
| 15 |
file_path = 'datasets' # Update with your dataset path
|
| 16 |
df = pd.read_excel(file_path + '/dataset.xlsx')
|