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update samples from Release-169 as a part of 1.0.85 SDK release (#742)

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Co-authored-by: vizhur <vizhur@live.com>
This commit is contained in:
Harneet Virk
2020-01-21 15:00:15 -08:00
committed by vizhur
parent 512630472b
commit b05ff80e9d
57 changed files with 725 additions and 1881 deletions
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12
how-to-use-azureml/automated-machine-learning/forecasting-grouping/deploy/deploy.py
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@@ -1,9 +1,9 @@
import argparse
import json
from azureml.core import Run, Model, Workspace
from azureml.core.conda_dependencies import CondaDependencies
from azureml.core import Run, Model
from azureml.core.model import InferenceConfig
from azureml.core.environment import Environment
from azureml.core.webservice import AciWebservice
@@ -39,6 +39,8 @@ print(model_list)
run = Run.get_context()
ws = run.experiment.workspace
myenv = Environment.from_conda_specification(name="env", file_path=conda_env_file_name)
deployment_config = AciWebservice.deploy_configuration(
cpu_cores=1,
memory_gb=2,
@@ -46,11 +48,7 @@ deployment_config = AciWebservice.deploy_configuration(
description='grouping demo aci deployment'
)
inference_config = InferenceConfig(
entry_script=script_file_name,
runtime='python',
conda_file=conda_env_file_name
)
inference_config = InferenceConfig(entry_script=script_file_name, environment=myenv)
models = []
for model_name in model_list: