updated clustering.py and anomaly.py

pycaret/clustering.py

@@ -1318,7 +1318,7 @@ def create_model(model = None,
                         
             # Log internal parameters
             mlflow.log_param("create_model_model", model)
-            mlflow.log_param("create_num_clusters", num_clusters)
+            mlflow.log_param("create_model_num_clusters", num_clusters)
             mlflow.log_param("create_model_verbose", verbose)
             mlflow.log_param("create_model_system", system)
             
@@ -1547,7 +1547,7 @@ def tune_model(model=None,
                estimator=None,
                optimize=None,
                fold=10,
-               verbose=True):
+               verbose=True): #added in pycaret 2.0.0
     
     
     """
@@ -1682,9 +1682,6 @@ def tune_model(model=None,
     
     global data_, X
     
-    #testing
-    global target_, master_df
-    
     #ignore warnings
     import warnings
     warnings.filterwarnings('ignore') 

pycaret/utils.py

@@ -3,7 +3,7 @@
 # License: MIT
 
 def version():
-    print("pycaret-nightly-0.8")
+    print("pycaret-nightly-0.9")
 
 
 def check_metric(actual, prediction, metric, round=4):

setup.py

@@ -13,7 +13,7 @@ with open('requirements.txt') as f:
 
 setup(
     name="pycaret-nightly",
-    version="0.8",
+    version="0.9",
     description="Nightly build of PyCaret - An open source, low-code machine learning library in Python.",
     long_description=readme(),
     long_description_content_type="text/markdown",