pycaret-nightly==0.41

CHANGELOG.md

@@ -21,6 +21,7 @@ All notable changes to this project will be documented in this file.
 - **NEW FUNCTION: get_config()** New function `get_config` added in `pycaret.classification` `pycaret.regression` `pycaret.clustering` `pycaret.anomaly` `pycaret.nlp` <br/>
 - **NEW FUNCTION: set_config()** New function `set_config` added in `pycaret.classification` `pycaret.regression` `pycaret.clustering` `pycaret.anomaly` `pycaret.nlp` <br/>
 - **NEW FUNCTION: get_system_logs** New function `get_logs` added in `pycaret.classification` `pycaret.regression` `pycaret.clustering` `pycaret.anomaly` `pycaret.nlp` <br/>
+- **REMOVED DEPENDENCIES** `awscli` and `shap` removed from requirements.txt. To use `interpret_model` function in `pycaret.classification` `pycaret.regression` and `deploy_model` function in `pycaret.classification` `pycaret.regression` `pycaret.clustering` `pycaret.anomaly`, these libraries will have to be installed separately. <br/>
 
 # <span style="color:red"> setup </span>
 **`pycaret.classification` `pycaret.regression` `pycaret.clustering` `pycaret.anomaly` `pycaret.nlp`** <br/>

pycaret/anomaly.py

@@ -2,7 +2,7 @@
 # Author: Moez Ali <moez.ali@queensu.ca>
 # License: MIT
 # Release: PyCaret 2.0x
-# Last modified : 29/07/2020
+# Last modified : 30/07/2020
 
 def setup(data, 
           categorical_features = None,
@@ -3754,6 +3754,13 @@ def deploy_model(model,
     logger.info("""deploy_model(model={}, model_name={}, authentication={}, platform={})""".\
         format(str(model), str(model_name), str(authentication), str(platform)))
 
+    #checking if awscli available
+    try:
+        import awscli
+    except:
+        logger.error("awscli library not found. pip install awscli to use deploy_model function.")
+        sys.exit("awscli library not found. pip install awscli to use deploy_model function.")  
+        
     #ignore warnings
     import warnings
     warnings.filterwarnings('ignore') 

pycaret/classification.py

@@ -2,7 +2,7 @@
 # Author: Moez Ali <moez.ali@queensu.ca>
 # License: MIT
 # Release: PyCaret 2.0x
-# Last modified : 29/07/2020
+# Last modified : 30/07/2020
 
 def setup(data,  
           target,   
@@ -9090,6 +9090,13 @@ def interpret_model(estimator,
 
     logger.info("Checking exceptions")
 
+    #checking if shap available
+    try:
+        import shap
+    except:
+        logger.error("shap library not found. pip install shap to use interpret_model function.")
+        sys.exit("shap library not found. pip install shap to use interpret_model function.")   
+
     #allowed models
     allowed_models = ['RandomForestClassifier',
                       'DecisionTreeClassifier',
@@ -11309,6 +11316,12 @@ def deploy_model(model,
     logger.info("""deploy_model(model={}, model_name={}, authentication={}, platform={})""".\
         format(str(model), str(model_name), str(authentication), str(platform)))
 
+    #checking if awscli available
+    try:
+        import awscli
+    except:
+        logger.error("awscli library not found. pip install awscli to use deploy_model function.")
+        sys.exit("awscli library not found. pip install awscli to use deploy_model function.")  
 
     #ignore warnings
     import warnings

pycaret/clustering.py

@@ -2,7 +2,7 @@
 # Author: Moez Ali <moez.ali@queensu.ca>
 # License: MIT
 # Release: PyCaret 2.0x
-# Last modified : 29/07/2020
+# Last modified : 30/07/2020
 
 def setup(data, 
         categorical_features = None,
@@ -3990,6 +3990,13 @@ def deploy_model(model,
     logger.info("""deploy_model(model={}, model_name={}, authentication={}, platform={})""".\
         format(str(model), str(model_name), str(authentication), str(platform)))
 
+    #checking if awscli available
+    try:
+        import awscli
+    except:
+        logger.error("awscli library not found. pip install awscli to use deploy_model function.")
+        sys.exit("awscli library not found. pip install awscli to use deploy_model function.")  
+
     #ignore warnings
     import warnings
     warnings.filterwarnings('ignore') 

pycaret/regression.py

@@ -2,7 +2,7 @@
 # Author: Moez Ali <moez.ali@queensu.ca>
 # License: MIT
 # Release: PyCaret 2.0x
-# Last modified : 29/07/2020
+# Last modified : 30/07/2020
 
 def setup(data, 
           target, 
@@ -8588,6 +8588,13 @@ def interpret_model(estimator,
 
     logger.info("Checking exceptions")
 
+    #checking if shap available
+    try:
+        import shap
+    except:
+        logger.error("shap library not found. pip install shap to use interpret_model function.")
+        sys.exit("shap library not found. pip install shap to use interpret_model function.")  
+        
     #allowed models
     allowed_models = ['RandomForestRegressor',
                       'DecisionTreeRegressor',
@@ -9869,6 +9876,13 @@ def deploy_model(model,
     logger.info("""deploy_model(model={}, model_name={}, authentication={}, platform={})""".\
         format(str(model), str(model_name), str(authentication), str(platform)))
 
+    #checking if awscli available
+    try:
+        import awscli
+    except:
+        logger.error("awscli library not found. pip install awscli to use deploy_model function.")
+        sys.exit("awscli library not found. pip install awscli to use deploy_model function.")  
+
     #ignore warnings
     import warnings
     warnings.filterwarnings('ignore') 

pycaret/utils.py

@@ -2,7 +2,7 @@
 # Author: Moez Ali <moez.ali@queensu.ca>
 # License: MIT
 
-version_ = "pycaret-nightly-0.40"
+version_ = "pycaret-nightly-0.41"
 
 def version():
     print(version_)

setup.py

@@ -13,7 +13,7 @@ with open('requirements.txt') as f:
 
 setup(
     name="pycaret-nightly",
-    version="0.40",
+    version="0.41",
     description="Nightly build of PyCaret - An open source, low-code machine learning library in Python.",
     long_description=readme(),
     long_description_content_type="text/markdown",