added deprecation warnings for stack_models and create_stacknet in...

added deprecation warnings for stack_models and create_stacknet in classification.py and regression.py

pycaret/classification.py

@@ -7149,6 +7149,11 @@ def stack_models(estimator_list,
         
     clear_output()
 
+    import warnings
+    warnings.filterwarnings('default')
+    warnings.warn('This function will adopt to Stackingclassifer() from sklearn in future release of PyCaret 2.x.')
+    warnings.filterwarnings('ignore')
+
     if optimize == 'Accuracy':
         compare_dimension = 'Accuracy' 
     elif optimize == 'AUC':
@@ -7188,10 +7193,6 @@ def stack_models(estimator_list,
         if html_param:
             display_ = display(master_display, display_id=True)
             display_id = display_.display_id
-        
-    #ignore warnings
-    import warnings
-    warnings.filterwarnings('ignore') 
     
     logger.info("Importing libraries")
     #dependencies
@@ -7942,6 +7943,10 @@ def create_stacknet(estimator_list,
         
     clear_output()
     
+    import warnings
+    warnings.filterwarnings('default')
+    warnings.warn('This function will be deprecated in future release of PyCaret 2.x.')
+
     if optimize == 'Accuracy':
         compare_dimension = 'Accuracy' 
     elif optimize == 'AUC':
@@ -7982,10 +7987,6 @@ def create_stacknet(estimator_list,
             display_ = display(master_display, display_id=True)
             display_id = display_.display_id
     
-    #ignore warnings
-    import warnings
-    warnings.filterwarnings('ignore') 
-    
     #models_ list
     models_ = []
     

pycaret/regression.py

@@ -6464,6 +6464,11 @@ def stack_models(estimator_list,
 
     clear_output()
     
+    import warnings
+    warnings.filterwarnings('default')
+    warnings.warn('This function will adopt to Stackingclassifer() from sklearn in future release of PyCaret 2.x.')
+    warnings.filterwarnings('ignore')
+    
     logger.info("Preparing display monitor")
     #progress bar
     max_progress = len(estimator_list) + fold + 4
@@ -6488,10 +6493,6 @@ def stack_models(estimator_list,
         if html_param:
             display_ = display(master_display, display_id=True)
             display_id = display_.display_id
-        
-    #ignore warnings
-    import warnings
-    warnings.filterwarnings('ignore') 
     
     logger.info("Importing libraries")
     #dependencies
@@ -7091,7 +7092,7 @@ def create_stacknet(estimator_list,
     ERROR HANDLING STARTS HERE
     
     '''
-    
+
     import logging
     logger.info("Initializing create_stacknet()")
     logger.info("Checking exceptions")
@@ -7181,6 +7182,11 @@ def create_stacknet(estimator_list,
     if html_param:
         clear_output()
     
+    import warnings
+    warnings.filterwarnings('default')
+    warnings.warn('This function will be deprecated in future release of PyCaret 2.x.')
+    warnings.filterwarnings('ignore') 
+
     #progress bar
     logger.info("Preparing display monitor")
     max_progress = len(estimator_list) + fold + 4
@@ -7206,10 +7212,6 @@ def create_stacknet(estimator_list,
             display_ = display(master_display, display_id=True)
             display_id = display_.display_id
     
-    #ignore warnings
-    import warnings
-    warnings.filterwarnings('ignore') 
-    
     logger.info("Importing libraries")
     #general dependencies
     import numpy as np

pycaret/utils.py

@@ -2,7 +2,7 @@
 # Author: Moez Ali <moez.ali@queensu.ca>
 # License: MIT
 
-version_ = "pycaret-nightly-0.27"
+version_ = "pycaret-nightly-0.28"
 
 def version():
     print(version_)

setup.py

@@ -13,7 +13,7 @@ with open('requirements.txt') as f:
 
 setup(
     name="pycaret-nightly",
-    version="0.27",
+    version="0.28",
     description="Nightly build of PyCaret - An open source, low-code machine learning library in Python.",
     long_description=readme(),
     long_description_content_type="text/markdown",