pycaret-nightly==0.31

pycaret/anomaly.py

@@ -3549,7 +3549,8 @@ def get_outliers(data,
                  combine_rare_levels=False,
                  rare_level_threshold=0.1,
                  remove_multicollinearity=False,
-                 multicollinearity_threshold=0.9):
+                 multicollinearity_threshold=0.9,
+                 n_jobs = -1):
     
     """
     Magic function to get outliers in Power Query / Power BI.    
@@ -3564,7 +3565,11 @@ def get_outliers(data,
     else:
         ignore_features_pass = ignore_features
     
-    global X, data_, seed
+    global X, data_, seed, n_jobs_param, logging_param
+    
+    n_jobs_param = n_jobs
+
+    logging_param = False
 
     data_ = data.copy()
     

pycaret/clustering.py

@@ -3800,7 +3800,7 @@ def get_clusters(data,
                  n_jobs = -1):
     
     """
-    Magic function to get clusters in Power Query / Power BI.    
+    Callable from any external environment without requiring setup initialization.
     
     """
     
@@ -3812,7 +3812,7 @@ def get_clusters(data,
     else:
         ignore_features_pass = ignore_features
     
-    global X, data_, seed, n_jobs_param
+    global X, data_, seed, n_jobs_param, logging_param
     
     data_ = data.copy()
     
@@ -3820,6 +3820,8 @@ def get_clusters(data,
 
     n_jobs_param = n_jobs
 
+    logging_param = False
+    
     from pycaret import preprocess
     
     X = preprocess.Preprocess_Path_Two(train_data = data, 

pycaret/utils.py

@@ -2,7 +2,7 @@
 # Author: Moez Ali <moez.ali@queensu.ca>
 # License: MIT
 
-version_ = "pycaret-nightly-0.30"
+version_ = "pycaret-nightly-0.31"
 
 def version():
     print(version_)

setup.py

@@ -13,7 +13,7 @@ with open('requirements.txt') as f:
 
 setup(
     name="pycaret-nightly",
-    version="0.30",
+    version="0.31",
     description="Nightly build of PyCaret - An open source, low-code machine learning library in Python.",
     long_description=readme(),
     long_description_content_type="text/markdown",