WebashalarForML commited on
Commit
b657c9c
·
verified ·
1 Parent(s): 4805887

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +17 -12
app.py CHANGED
@@ -304,10 +304,15 @@ def process_dataframe(df):
304
  df_pred_0['Change_Blk_Eng_to_Mkbl_value'] = pd.DataFrame(blk_change.predict(df_pred), columns=["Change_Blk_Eng_to_Mkbl_value"])
305
  print(df_pred_0.columns)
306
 
 
 
 
 
 
307
  # for model WHT CODE
308
  df_pred_0['Change_Wht_Eng_to_Mkbl_value'] = pd.DataFrame(shape_change.predict(df_pred), columns=["Change_Wht_Eng_to_Mkbl_value"])
309
  print(df_pred_0.columns)
310
- '''
311
  # for model PAV CODE (need change)
312
  df_pred_0['Change_Pav_Eng_to_Mkbl_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_Pav_Eng_to_Mkbl_value"])
313
  print(df_pred_0.columns)
@@ -316,10 +321,6 @@ def process_dataframe(df):
316
  df_pred_0['Change_Open_Eng_to_Mkbl_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_Open_Eng_to_Mkbl_value"])
317
  print(df_pred_0.columns)
318
 
319
- # for model SHP CODE (need change)
320
- df_pred_0['Change_shape_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_shape_value"])
321
- print(df_pred_0.columns)
322
-
323
  # for model COL CODE (need change)
324
  df_pred_0['Change_color_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_color_value"])
325
  print(df_pred_0.columns)
@@ -338,13 +339,17 @@ def process_dataframe(df):
338
 
339
  for col in ['Tag', 'EngShp', 'EngQua', 'EngCol', 'EngCut', 'EngPol', 'EngSym', 'EngFlo',
340
  'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen','EngPav',
341
- 'Change_cts_value', 'Change_shape_value', 'Change_quality_value', 'Change_color_value',
342
- 'Change_cut_value', 'Change_Blk_Eng_to_Mkbl_value', 'Change_Wht_Eng_to_Mkbl_value',
343
- 'Change_Open_Eng_to_Mkbl_value', 'Change_Pav_Eng_to_Mkbl_value', 'Change_Blk_Eng_to_Grd_value',
344
- 'Change_Wht_Eng_to_Grd_value', 'Change_Open_Eng_to_Grd_value', 'Change_Pav_Eng_to_Grd_value',
345
- 'Change_Blk_Eng_to_ByGrd_value', 'Change_Wht_Eng_to_ByGrd_value', 'Change_Open_Eng_to_ByGrd_value',
346
- 'Change_Pav_Eng_to_ByGrd_value', 'Change_Blk_Eng_to_Gia_value', 'Change_Wht_Eng_to_Gia_value',
347
- 'Change_Open_Eng_to_Gia_value', 'Change_Pav_Eng_to_Gia_value']:
 
 
 
 
348
  try:
349
  df_pred_main[col] = loaded_label_encoder[col].inverse_transform(df_pred_main[col].astype(int))
350
  except ValueError as e:
 
304
  df_pred_0['Change_Blk_Eng_to_Mkbl_value'] = pd.DataFrame(blk_change.predict(df_pred), columns=["Change_Blk_Eng_to_Mkbl_value"])
305
  print(df_pred_0.columns)
306
 
307
+ # for model SHP CODE (need change)
308
+ df_pred_0['Change_shape_value'] = pd.DataFrame(shape_change.predict(df_pred), columns=["Change_shape_value"])
309
+ print(df_pred_0.columns)
310
+
311
+ '''
312
  # for model WHT CODE
313
  df_pred_0['Change_Wht_Eng_to_Mkbl_value'] = pd.DataFrame(shape_change.predict(df_pred), columns=["Change_Wht_Eng_to_Mkbl_value"])
314
  print(df_pred_0.columns)
315
+
316
  # for model PAV CODE (need change)
317
  df_pred_0['Change_Pav_Eng_to_Mkbl_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_Pav_Eng_to_Mkbl_value"])
318
  print(df_pred_0.columns)
 
321
  df_pred_0['Change_Open_Eng_to_Mkbl_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_Open_Eng_to_Mkbl_value"])
322
  print(df_pred_0.columns)
323
 
 
 
 
 
324
  # for model COL CODE (need change)
325
  df_pred_0['Change_color_value'] = pd.DataFrame(mkble_amt_class_model.predict(df_pred), columns=["Change_color_value"])
326
  print(df_pred_0.columns)
 
339
 
340
  for col in ['Tag', 'EngShp', 'EngQua', 'EngCol', 'EngCut', 'EngPol', 'EngSym', 'EngFlo',
341
  'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen','EngPav',
342
+ 'Change_shape_value',
343
+ #'Change_cts_value','Change_quality_value', 'Change_color_value', 'Change_cut_value',
344
+ 'Change_Blk_Eng_to_Mkbl_value',
345
+ #'Change_Wht_Eng_to_Mkbl_value',
346
+ #'Change_Open_Eng_to_Mkbl_value',
347
+ #'Change_Pav_Eng_to_Mkbl_value',
348
+ #'Change_Blk_Eng_to_Grd_value','Change_Wht_Eng_to_Grd_value', 'Change_Open_Eng_to_Grd_value', 'Change_Pav_Eng_to_Grd_value',
349
+ #'Change_Blk_Eng_to_ByGrd_value', 'Change_Wht_Eng_to_ByGrd_value', 'Change_Open_Eng_to_ByGrd_value', 'Change_Pav_Eng_to_ByGrd_value',
350
+ #'Change_Blk_Eng_to_Gia_value', 'Change_Wht_Eng_to_Gia_value', 'Change_Open_Eng_to_Gia_value', 'Change_Pav_Eng_to_Gia_value'
351
+ ]:
352
+
353
  try:
354
  df_pred_main[col] = loaded_label_encoder[col].inverse_transform(df_pred_main[col].astype(int))
355
  except ValueError as e: