Update 0.1.7

- ANAI Open Source  Build 7

- Fixed Explainer issues
- ANAI will create a Local Dask Cluster while intializing for all the data streams

Signed-off-by: Arsh <lucifer78908@gmail.com>

anai/__init__.py

@@ -6,7 +6,13 @@
 import os
 import shutil
 import warnings
-
+from distributed import Client, LocalCluster
+try:
+    clust = LocalCluster(name='ANAI-Cluster', n_workers=2, threads_per_worker=2, processes=True,
+                        host='0.0.0.0', protocol='tcp://', scheduler_port=0, dashboard_address=0)
+    client = Client(clust)
+except Exception as e:
+    pass
 import modin.pandas as pd
 from colorama import Fore
 from optuna.samplers._tpe.sampler import TPESampler
@@ -16,7 +22,6 @@
 from anai.utils.connectors import load_data_from_config
 from anai.utils.connectors.data_handler import __df_loader_single, df_loader
 
-os.environ["MODIN_ENGINE"] = "dask"
 
 
 if os.path.exists(os.getcwd() + "/dask-worker-space"):

anai/supervised/__init__.py

@@ -1614,7 +1614,7 @@ def explain(self, method, show_graph=True):
             self.y_val,
             self.cv_folds,
             self.fit_params,
-            self.show_graph,
+            show_graph,
         )
         if self.pred_mode == "all":
             regressor = copy.deepcopy(self.best_regressor.model)

anai/utils/explainable_anai/explain_core.py

@@ -72,15 +72,16 @@ def permutation(self, model):
 
     def shap(self, model):
         try:
-            res = shap_feature_importance(self.features.columns, self.X_train, model, self.isReg, self.show_graph)
+            res = shap_feature_importance(self.features.columns, self.X_train, model, self.show_graph)
             return res
         except Exception as e:
             print(Fore.YELLOW + "Automatically switching to Surrogate mode\n")
             try:
                 res = shap_feature_importance(
-                    self.features.columns,
+                    self.features.columns, 
                     self.X_train,
-                    surrogate_decision_tree(model, self.X_train, isReg=self.isReg, show_graph=self.show_graph),
+                    surrogate_decision_tree(model, self.X_train), 
+                    show_graph=self.show_graph
                 )
                 return res
             except Exception as e:

setup.py

@@ -21,7 +21,7 @@
         ],
         include=["anai.*", "anai"],
     ),
-    version="0.1.6",
+    version="0.1.7",
     license="Apache License 2.0",
     description="Automated ML",
     url="https://github.com/Revca-ANAI/ANAI",