linting

Author: SamoraHunter

ml_grid/pipeline/data_feature_methods.py

@@ -145,7 +145,7 @@ def getNFeaturesMarkovBlanket(
         if hasattr(model_to_use, "set_params"):
             try:
                 model_to_use.set_params(verbose=False)
-            except:
+            except Exception:
                 pass
         if hasattr(model_to_use, "verbose"):
             model_to_use.verbose = False

ml_grid/pipeline/grid_search_cross_validate.py

@@ -31,7 +31,6 @@
 
 # from sklearn.utils.testing import ignore_warnings
 from sklearn.exceptions import ConvergenceWarning
-from sklearn.metrics import *
 from sklearn.model_selection import (
     ParameterGrid,
     RepeatedKFold,

ml_grid/pipeline/test_data_pipeline.py

@@ -10,7 +10,7 @@
 import tempfile
 import unittest
 from pathlib import Path
-
+import sys
 import numpy as np
 import pandas as pd
 

ml_grid/results_processing/plot_features.py

@@ -6,7 +6,7 @@
 
 import warnings
 from typing import List, Optional, Tuple
-
+from ml_grid.results_processing.core import get_clean_data
 import matplotlib.pyplot as plt
 import pandas as pd
 import seaborn as sns
@@ -28,8 +28,6 @@
         stacklevel=2,
     )
 
-from ml_grid.results_processing.core import get_clean_data
-
 
 class FeatureAnalysisPlotter:
     """A class for creating feature analysis and importance visualizations."""

ml_grid/util/validate_parameters.py

@@ -102,7 +102,7 @@ def validate_parameters_helper(
         Dict[str, Any]: The validated parameters dictionary.
     """
 
-    if type(algorithm_implementation) == KNeighborsClassifier:
+    if isinstance(algorithm_implementation, KNeighborsClassifier):
 
         parameters = validate_knn_parameters(parameters, ml_grid_object)