WebashalarForML commited on
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ca6dc36
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1 Parent(s): 596ab73

Update app.py

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Files changed (1) hide show
  1. app.py +16 -16
app.py CHANGED
@@ -175,11 +175,11 @@ encoder_list = [
175
  'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen','EngPav',
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  'Change_cts_value', 'Change_shape_value', 'Change_quality_value', 'Change_color_value',
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  'Change_cut_value', 'Change_Blk_Eng_to_Mkbl_value', 'Change_Wht_Eng_to_Mkbl_value',
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- 'Change_Open_Eng_to_Mkbl_value', 'Change_Pav_Eng_to_Mkbl_value', 'Change_Blk_Eng_to_Grd_value',
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- 'Change_Wht_Eng_to_Grd_value', 'Change_Open_Eng_to_Grd_value', 'Change_Pav_Eng_to_Grd_value',
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- 'Change_Blk_Eng_to_ByGrd_value', 'Change_Wht_Eng_to_ByGrd_value', 'Change_Open_Eng_to_ByGrd_value',
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- 'Change_Pav_Eng_to_ByGrd_value', 'Change_Blk_Eng_to_Gia_value', 'Change_Wht_Eng_to_Gia_value',
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- 'Change_Open_Eng_to_Gia_value', 'Change_Pav_Eng_to_Gia_value'
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  ]
184
 
185
  # Load label encoders using pathlib for cleaner path management.
@@ -290,19 +290,19 @@ def process_dataframe(df):
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291
  # for model BLK CODE
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  df_pred_0 = df_pred.copy()
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- df_pred_0['Change_Blk_Eng_to_Mkbl_value'] = pd.DataFrame(blk_change.predict(df_pred), columns=["Change_Blk_Eng_to_Mkbl_value"])
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  print(df_pred_0.columns)
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  # for model WHT CODE
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- df_pred_0['Change_Wht_Eng_to_Mkbl_value'] = pd.DataFrame(wht_change.predict(df_pred), columns=["Change_Wht_Eng_to_Mkbl_value"])
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  print(df_pred_0.columns)
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  # for model PAV CODE (need change)
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- df_pred_0['Change_Pav_Eng_to_Mkbl_value'] = pd.DataFrame(pav_change.predict(df_pred), columns=["Change_Pav_Eng_to_Mkbl_value"])
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  print(df_pred_0.columns)
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  # for model OPEN CODE (need change)
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- df_pred_0['Change_Open_Eng_to_Mkbl_value'] = pd.DataFrame(open_change.predict(df_pred), columns=["Change_Open_Eng_to_Mkbl_value"])
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  print(df_pred_0.columns)
307
 
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  # for model SHP CODE (need change)
@@ -329,13 +329,13 @@ def process_dataframe(df):
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  'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen','EngPav',
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  'Change_shape_value','Change_quality_value', 'Change_color_value', 'Change_cut_value',
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  #'Change_cts_value',
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- 'Change_Blk_Eng_to_Mkbl_value',
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- 'Change_Wht_Eng_to_Mkbl_value',
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- 'Change_Open_Eng_to_Mkbl_value',
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- 'Change_Pav_Eng_to_Mkbl_value',
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- #'Change_Blk_Eng_to_Grd_value','Change_Wht_Eng_to_Grd_value', 'Change_Open_Eng_to_Grd_value', 'Change_Pav_Eng_to_Grd_value',
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- #'Change_Blk_Eng_to_ByGrd_value', 'Change_Wht_Eng_to_ByGrd_value', 'Change_Open_Eng_to_ByGrd_value', 'Change_Pav_Eng_to_ByGrd_value',
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- #'Change_Blk_Eng_to_Gia_value', 'Change_Wht_Eng_to_Gia_value', 'Change_Open_Eng_to_Gia_value', 'Change_Pav_Eng_to_Gia_value'
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  ]:
340
 
341
  try:
 
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  'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen','EngPav',
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  'Change_cts_value', 'Change_shape_value', 'Change_quality_value', 'Change_color_value',
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  'Change_cut_value', 'Change_Blk_Eng_to_Mkbl_value', 'Change_Wht_Eng_to_Mkbl_value',
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+ 'Change_Open_Eng_to_Mkbl_value', 'Change_Pav_Eng_to_Mkbl_value_2', 'Change_Blk_Eng_to_Grd_value_2',
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+ 'Change_Wht_Eng_to_Grd_value_2', 'Change_Open_Eng_to_Grd_value_2', 'Change_Pav_Eng_to_Grd_value_2',
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+ 'Change_Blk_Eng_to_ByGrd_value_2', 'Change_Wht_Eng_to_ByGrd_value_2', 'Change_Open_Eng_to_ByGrd_value_2',
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+ 'Change_Pav_Eng_to_ByGrd_value_2', 'Change_Blk_Eng_to_Gia_value_2', 'Change_Wht_Eng_to_Gia_value_2',
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+ 'Change_Open_Eng_to_Gia_value_2', 'Change_Pav_Eng_to_Gia_value_2'
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  ]
184
 
185
  # Load label encoders using pathlib for cleaner path management.
 
290
 
291
  # for model BLK CODE
292
  df_pred_0 = df_pred.copy()
293
+ df_pred_0['Change_Blk_Eng_to_Mkbl_value_2'] = pd.DataFrame(blk_change.predict(df_pred), columns=["Change_Blk_Eng_to_Mkbl_value_2"])
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  print(df_pred_0.columns)
295
 
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  # for model WHT CODE
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+ df_pred_0['Change_Wht_Eng_to_Mkbl_value_2'] = pd.DataFrame(wht_change.predict(df_pred), columns=["Change_Wht_Eng_to_Mkbl_value_2"])
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  print(df_pred_0.columns)
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300
  # for model PAV CODE (need change)
301
+ df_pred_0['Change_Pav_Eng_to_Mkbl_value_2'] = pd.DataFrame(pav_change.predict(df_pred), columns=["Change_Pav_Eng_to_Mkbl_value_2"])
302
  print(df_pred_0.columns)
303
 
304
  # for model OPEN CODE (need change)
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+ df_pred_0['Change_Open_Eng_to_Mkbl_value_2'] = pd.DataFrame(open_change.predict(df_pred), columns=["Change_Open_Eng_to_Mkbl_value_2"])
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  print(df_pred_0.columns)
307
 
308
  # for model SHP CODE (need change)
 
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  'EngNts', 'EngMikly','EngBlk', 'EngWht', 'EngOpen','EngPav',
330
  'Change_shape_value','Change_quality_value', 'Change_color_value', 'Change_cut_value',
331
  #'Change_cts_value',
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+ 'Change_Blk_Eng_to_Mkbl_value_2',
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+ 'Change_Wht_Eng_to_Mkbl_value_2',
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+ 'Change_Open_Eng_to_Mkbl_value_2',
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+ 'Change_Pav_Eng_to_Mkbl_value_2',
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+ #'Change_Blk_Eng_to_Grd_value_2','Change_Wht_Eng_to_Grd_value_2', 'Change_Open_Eng_to_Grd_value_2', 'Change_Pav_Eng_to_Grd_value_2',
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+ #'Change_Blk_Eng_to_ByGrd_value_2', 'Change_Wht_Eng_to_ByGrd_value_2', 'Change_Open_Eng_to_ByGrd_value_2', 'Change_Pav_Eng_to_ByGrd_value_2',
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+ #'Change_Blk_Eng_to_Gia_value_2', 'Change_Wht_Eng_to_Gia_value_2', 'Change_Open_Eng_to_Gia_value_2', 'Change_Pav_Eng_to_Gia_value_2'
339
  ]:
340
 
341
  try: