Delete donotupload.py

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

@@ -1,40 +0,0 @@
-
-from azureml.core import Workspace
-ws = Workspace.from_config()
-
-from azureml.core.compute import ComputeTarget, HDInsightCompute
-from azureml.exceptions import ComputeTargetException
-
-try:
-    # if you want to connect using SSH key instead of username/password you can provide parameters private_key_file and private_key_passphrase
-    attach_config = HDInsightCompute.attach_configuration(address='sheri2-ssh.azurehdinsight.net', 
-                                                          ssh_port=22, 
-                                                          username='sshuser', 
-                                                          password='ChangePassw)rd12')
-    hdi_compute = ComputeTarget.attach(workspace=ws, 
-                                       name='sherihdi2', 
-                                       attach_configuration=attach_config)
-
-except ComputeTargetException as e:
-    print("Caught = {}".format(e.message))
-    hdi_compute = ComputeTarget(workspace=ws, name='sherihdi')
-    
-        
-hdi_compute.wait_for_completion(show_output=True)
-
-#<run_hdi>
-from azureml.core.runconfig import RunConfiguration
-from azureml.core.conda_dependencies import CondaDependencies
-
-
-# use pyspark framework
-run_hdi = RunConfiguration(framework="pyspark")
-
-# Set compute target to the HDI cluster
-run_hdi.target = hdi_compute.name
-
-# specify CondaDependencies object to ask system installing numpy
-cd = CondaDependencies()
-cd.add_conda_package('numpy')
-run_hdi.environment.python.conda_dependencies = cd
-#</run_hdi>