SIENTIAPDE-1241: refactor train_model workflow due to I/O errors.

model_manager/utils/models/train_model_params.py

@@ -184,22 +184,22 @@ class TrainModelParams:
             >>> params = TrainModelParams.from_dict(data)
             >>> params.validate_business_rules()  # Raises ValueError if invalid
         """
-        # Validate train_size range (1-99%)
-        if not 1 <= self.train_size <= 99:
-            raise ValueError(f'train_size must be between 1 and 99, got {self.train_size}')
+        # Validate train_size range (10-100%)
+        if not 10 <= self.train_size <= 100:
+            raise ValueError(f'train_size must be between 10 and 100, got {self.train_size}')
 
         # Validate variable_columns is not empty
         if not self.variable_columns:
             raise ValueError('variable_columns cannot be empty')
 
         # Validate positive integers
-        if self.lag_train <= 0:
+        if self.lag_train < 0:
             raise ValueError(f'lag_train must be positive, got {self.lag_train}')
 
-        if self.lag_val <= 0:
+        if self.lag_val < 0:
             raise ValueError(f'lag_val must be positive, got {self.lag_val}')
 
-        if self.window <= 0:
+        if self.window < 0:
             raise ValueError(f'window must be positive, got {self.window}')
 
         # Validate low_lim and upp_lim consistency
@@ -218,13 +218,6 @@ class TrainModelParams:
                     f'Got low_lim={self.low_lim[var]}, upp_lim={self.upp_lim[var]}'
                 )
 
-        # Validate target_variable is in variable_columns
-        if self.target_variable not in self.variable_columns:
-            raise ValueError(
-                f'target_variable "{self.target_variable}" must be in variable_columns: '
-                f'{self.variable_columns}'
-            )
-
         # Validate bucket_name and file_name are not empty
         if not self.bucket_name.strip():
             raise ValueError('bucket_name cannot be empty or whitespace')