2024/03/09/17:30

app.py

@@ -1213,11 +1213,12 @@ class Dataset:
 
     @classmethod
     def get_model_train_input_params(cls):
-        EACH_ROW_NUM = 6 - 1
+        EACH_ROW_NUM = 6
         output_list = []
-
+        print(cls.cur_model)
         if cls.check_model_optimize_radio():
             output_dict = ChooseModelParams.choose(cls.cur_model)
+            print("output_dict: {}".format(str(output_dict)))
             row_unit_num_list = []
             row_len = len(output_dict.keys())
             dict_keys_list = [x for x in output_dict.keys()]
@@ -1226,22 +1227,25 @@ class Dataset:
                 row_unit_num_list.append(len(v))
                 for x in v:
                     output_list.append(x)
-
+            print("output_list: {}".format(str(output_list)))
+            print("row_len: {}".format(str(row_len)))
+            print("dict_keys_list: {}".format(str(dict_keys_list)))
             return_list = []
             cumulative_sum = 0
             for j in range(row_len):
+                print("cumulative_sum: {}".format(str(cumulative_sum)))
                 return_list.append(gr.Textbox(dict_keys_list[j], visible=cls.check_model_optimize_radio(), show_label=False, elem_classes="params_name"))
                 return_list.extend(
                     [gr.Textbox(output_list[k], visible=cls.check_model_optimize_radio(), show_label=False)
                      for k in range(cumulative_sum, cumulative_sum + row_unit_num_list[j])]
                 )
                 return_list.extend(
-                    [gr.Textbox("", visible=False)] * (EACH_ROW_NUM - row_unit_num_list[j])
+                    [gr.Textbox("", visible=False)] * (EACH_ROW_NUM - 1 - row_unit_num_list[j])
                 )
 
                 cumulative_sum += row_unit_num_list[j]
 
-            return_list.extend(["", gr.Textbox(visible=False)] * (StaticValue.MAX_PARAMS_NUM - row_len - cumulative_sum))
+            return_list.extend(["", gr.Textbox(visible=False)] * (StaticValue.MAX_PARAMS_NUM - EACH_ROW_NUM * row_len))
 
             return return_list
 
@@ -1486,7 +1490,7 @@ def get_return(is_visible, extra_gr_dict: dict = None):
 
             select_as_model_radio: gr.Radio(Dataset.get_model_list(), visible=Dataset.check_before_train(),
                                             label=LN.select_as_model_radio),
-            model_optimize_radio: gr.Radio(Dataset.get_optimize_list(), None, visible=Dataset.check_before_train(),
+            model_optimize_radio: gr.Radio(Dataset.get_optimize_list(), visible=Dataset.check_before_train(),
                                            label=LN.model_optimize_radio),
             train_size_textbox: gr.Textbox(str(0.8), visible=Dataset.check_before_train(), label=LN.train_size_textbox),
             model_train_button: gr.Button(LN.model_train_button, visible=Dataset.check_before_train()),