Hello,

I am running the Azure ML Python example from here, https://learn.microsoft.com/en-us/python/api/overview/azure/ml/?view=azure-ml-py#run

Specifically this section of the example;

from azureml.core.experiment import Experiment  
from azureml.core import ScriptRunConfig  
script_run_config = ScriptRunConfig(source_directory=os.getcwd(), script="train.ipynb", run_config=compute_config)  
experiment = Experiment(workspace=ws, name="compute_target_test")  
run = experiment.submit(config=script_run_config)  
run.wait_for_completion(show_output=True)  
When I execute the above code I receive the error;    

message': "User program failed with NameError: name 'true' is not defined"    
The log file gives the following details;    
 File "train.ipynb", line 67, in <module>    

    "notebookHasBeenCompleted": true  

NameError: name 'true' is not defined    
The problem is the train.ipynb file does not contain 67 lines.    
Could anyone provide some assistance as to how to resolve this.    
Thanks.    
			 
With the help of this post, https://learn.microsoft.com/en-us/answers/questions/674712/nameerror-when-trying-to-run-an-scriptrunconfig-in.html    

I have been able to resolve the problem.    
The issue is the script parameter in the ScriptRunConfig class must be a *.py file and not a *.ipynb file. After changing the extension to *.py and downloading the Notebook the following JSON object will be visible;    
"microsoft": {  
          "host": {  
            "AzureML": {  
              "notebookHasBeenCompleted": true  
After changing the "true" value to "True" the script will execute successfully.
			 
@Graham Benson    Thanks for the question. We are able to run successfully with out an error as shown below.    

Here is link to the sample for using the environments.    
https://github.com/Azure/MachineLearningNotebooks/tree/master/how-to-use-azureml/training/using-environments    
			 
@Ramr-msft       
Having solved the above issue, I am now receiving the warning;    
"Warning: you have pip-installed dependencies in your environment file, but you do not list pip itself as one of your conda dependencies...."    
I am using the curated environment, AzureML-sklearn-0.24-ubuntu18.04-py37-cpu which contains the packages;     
 scikit-learn==0.24.1    
  numpy>=1.16.0    
  pandas~=1.1.x    
Following is the Notebook code;    
    from azureml.core import Workspace, Environment      
    from azureml.core import ScriptRunConfig, Experiment  
    ws = Workspace.from_config()  
    myenv = Environment.get(workspace=ws, name="AzureML-sklearn-0.24-ubuntu18.04-py37-cpu")     
    exp = Experiment(name="myexp", workspace = ws)  
    # Instantiate environment  
    myenv = Environment(name="myenv")  
    # Add training script to run config  
    runconfig = ScriptRunConfig(source_directory=".", script="train.py")  
    # Attach compute target to run config  
    runconfig.run_config.target = "local"  
    # Attach environment to run config  
    runconfig.run_config.environment = myenv  
    # Submit run   
    run = exp.submit(runconfig)  
The train.py script is taken from the example, here https://learn.microsoft.com/en-us/python/api/overview/azure/ml/?view=azure-ml-py#run    
------------------------------ train.py script ----------------------------------  
# train.py  
from sklearn import svm  
import numpy as np  
import joblib  
import os  
# customer ages  
X_train = np.array([50, 17, 35, 23, 28, 40, 31, 29, 19, 62])  
X_train = X_train.reshape(-1, 1)  
# churn y/n  
y_train = ["yes", "no", "no", "no", "yes", "yes", "yes", "no", "no", "yes"]  
clf = svm.SVC(gamma=0.001, C=100.)  
clf.fit(X_train, y_train)  
os.makedirs("outputs", exist_ok=True)  
joblib.dump(value=clf, filename="outputs/churn-model.pkl")  
------------------------------ train.py script ----------------------------------  
Can you please assist with the above. Why would I receive the error message when the environment being used is a Microsoft curated environment?    
Thank you