refactor(models): Remove unused local global_params variable

Removed the unused local assignment `global_params = global_parameters` from the `__init__` method of `GradientBoostingClassifierClass`, `H2OAutoMLClass`, and `LightGBMClassifierWrapper`.

This variable was redundant as the `global_parameters` singleton can be accessed directly where needed. This change cleans up the code without affecting functionality.

Author: SamoraHunter

ml_grid/model_classes/gradientboosting_classifier_class.py

@@ -39,7 +39,6 @@ def __init__(
             ValueError: If `parameter_space_size` is not a valid key (though current
                 implementation does not explicitly raise this).
         """
-        global_params = global_parameters
         self.X: Optional[pd.DataFrame] = X
         self.y: Optional[pd.Series] = y
 

ml_grid/model_classes/h2o_classifier_class.py

@@ -46,7 +46,6 @@ def __init__(
             ValueError: If `parameter_space_size` is not a valid key (though current
                 implementation does not explicitly raise this).
         """
-        global_params = global_parameters
         logger.debug("Initializing H2OAutoMLClass")
 
         self.algorithm_implementation = H2OAutoMLClassifier()

ml_grid/model_classes/light_gbm_class.py

@@ -36,8 +36,6 @@ def __init__(
         self.X = X
         self.y = y
 
-        global_params = global_parameters
-
         self.algorithm_implementation = (
             LightGBMClassifier()
         )  # Custom scikit-learn wrapper