Remove incorrect standardization method

Signed-off-by: Adam Wawrzyński <adam.wawrzynski@reasonfieldlab.com>

autoxai/explainer/base_explainer.py

@@ -6,8 +6,6 @@
 import torch
 from captum.attr import visualization as viz
 
-from autoxai.explainer.model_utils import standardize_matrix
-
 
 class CVExplainer(ABC):
     """Abstract explainer class."""
@@ -82,9 +80,6 @@ def visualize(
         if len(transformed_img.shape) >= 3:
             transformed_img_np = np.transpose(transformed_img_np, (1, 2, 0))
 
-        attributions_np = standardize_matrix(matrix=attributions_np)
-        transformed_img_np = standardize_matrix(matrix=transformed_img_np)
-
         figure, _ = viz.visualize_image_attr_multiple(
             attr=attributions_np,
             original_image=transformed_img_np,

autoxai/explainer/model_utils.py

@@ -1,6 +1,5 @@
 """File contains functions to modifiy DNN models."""
 
-import numpy as np
 import torch
 
 
@@ -21,15 +20,3 @@ def modify_modules(model: torch.nn.Module) -> torch.nn.Module:
             module.inplace = False
 
     return model
-
-
-def standardize_matrix(matrix: np.ndarray) -> np.ndarray:
-    """Standardize matrix to range [0-1].
-
-    Args:
-        matrix: Any matrix.
-
-    Returns:
-        Standardize matrix.
-    """
-    return (matrix - np.min(matrix)) / np.max(matrix)