remove prepare environment

ignore/doc-qa/how-to-set-up-training-targets/dsvm.py

@@ -4,7 +4,7 @@ compute_target_name = "sheri-linuxvm"
 
 #<run_dsvm>  
 import azureml.core
-from azureml.core.runconfig import RunConfiguration, DEFAULT_CPU_IMAGE
+from azureml.core.runconfig import RunConfiguration
 from azureml.core.conda_dependencies import CondaDependencies
 
 run_dsvm = RunConfiguration(framework = "python")
@@ -20,9 +20,7 @@ run_dsvm.environment.docker.enabled = True
 run_dsvm.environment.docker.base_image = azureml.core.runconfig.DEFAULT_CPU_IMAGE
 print('Base Docker image is:', run_dsvm.environment.docker.base_image)
 
-# Prepare the Docker and conda environment automatically when they're used for the first time 
-run_dsvm.prepare_environment = True
-
 # Specify the CondaDependencies object
 run_dsvm.environment.python.conda_dependencies = CondaDependencies.create(conda_packages=['scikit-learn'])
-#</run_dsvm>
+#</run_dsvm>
+print(run_dsvm)