code for remote vm

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

@@ -0,0 +1,28 @@
+# Code for Remote virtual machines
+
+compute_target_name = "attach-dsvm"
+
+#<run_dsvm>  
+import azureml.core
+from azureml.core.runconfig import RunConfiguration, DEFAULT_CPU_IMAGE
+from azureml.core.conda_dependencies import CondaDependencies
+
+run_dsvm = RunConfiguration(framework = "python")
+
+# Set the compute target to the Linux DSVM
+run_dsvm.target = compute_target_name 
+
+# Use Docker in the remote VM
+run_dsvm.environment.docker.enabled = True
+
+# Use the CPU base image 
+# To use GPU in DSVM, you must also use the GPU base Docker image "azureml.core.runconfig.DEFAULT_GPU_IMAGE"
+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>