🚀 new release + fix code formatting

Author: jvdd

Makefile

@@ -1,5 +1,5 @@
-isort = isort powershap tests
-black = black powershap tests
+isort = poetry run isort powershap tests
+black = poetry run black powershap tests
 
 .PHONY: format
 format:
@@ -8,7 +8,7 @@ format:
 
 .PHONY: lint
 lint:
-	ruff powershap tests
+	poetry run ruff powershap tests
 	$(isort) --check-only --df
 	$(black) --check --diff
 

powershap/__init__.py

@@ -1,7 +1,7 @@
 # The init file for PowerShap
 
 __author__ = "Jarne Verhaeghe, Jeroen Van Der Donckt"
-__version__ = "0.0.9"
+__version__ = "0.0.10"
 
 from .powershap import PowerShap
 

powershap/shap_wrappers/shap_explainer.py

@@ -350,7 +350,6 @@ def _fit_get_shap(self, X_train, Y_train, X_val, Y_val, random_seed, **kwargs) -
         import tensorflow as tf
 
         # tf.compat.v1.disable_v2_behavior()  # https://github.com/slundberg/shap/issues/2189
-
         # Fit the model
         PowerShap_model = tf.keras.models.clone_model(self.model)
         metrics = kwargs.get("nn_metric")

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "powershap"
-version = "0.0.9"
+version = "0.0.10"
 description = "Feature selection using statistical significance of shap values"
 authors = ["Jarne Verhaeghe, Jeroen Van Der Donckt"]
 readme = "README.md"

tests/test_deep_learning_powershap.py

@@ -8,6 +8,7 @@
 
 # tf.compat.v1.enable_eager_execution()
 
+
 def test_deep_learning_class_powershap(dummy_classification):
     X, y = dummy_classification
     n_informative = sum([c.startswith("informative") for c in X.columns])