updated pycaret-nightly==0.16

pycaret/classification.py

@@ -9902,8 +9902,7 @@ def predict_model(estimator,
     
     estimator = deepcopy(estimator) #lookout for an alternate of deepcopy()
     
-    if html_param:
-        clear_output()
+    clear_output()
     
     if type(estimator) is str:
         if platform == 'aws':

pycaret/regression.py

@@ -2209,10 +2209,10 @@ def create_model(estimator = None,
         if 'catboost' in mn:
             mn = 'CatBoostRegressor'
 
-        try:
-            full_name = model_dict_logging.get(mn)
-        except:
-            full_name = 'Custom Model'
+        full_name = model_dict_logging.get(mn)
+        
+        if full_name is None:
+            full_name = mn
     
     progress.value += 1
     
@@ -8785,8 +8785,7 @@ def predict_model(estimator,
     
     estimator = deepcopy(estimator)
 
-    if html_param:
-        clear_output()
+    clear_output()
     
     if type(estimator) is str:
         if platform == 'aws':

pycaret/utils.py

@@ -3,7 +3,7 @@
 # License: MIT
 
 def version():
-    print("pycaret-nightly-0.15")
+    print("pycaret-nightly-0.16")
 
 
 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="0.15",
+    version="0.16",
     description="Nightly build of PyCaret - An open source, low-code machine learning library in Python.",
     long_description=readme(),
     long_description_content_type="text/markdown",