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Code Issues Projects Releases Wiki Activity

mitigation to image creation issue

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This commit is contained in:
Roope Astala
2018-09-27 12:50:38 -04:00
parent 6c3abe2d03
commit ae8874ad32
3 changed files with 60 additions and 12 deletions
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3
01.getting-started/01.train-within-notebook/01.train-within-notebook.ipynb
View File

@@ -458,7 +458,7 @@
"outputs": [],
"source": [
"from azureml.core.model import Model\n",
"models = Model.list(name='best_model')\n",
"models = Model.list(workspace=ws, name='best_model')\n",
"for m in models:\n",
" print(m.name, m.version)"
]
@@ -527,6 +527,7 @@
"\n",
"myenv = CondaDependencies()\n",
"myenv.add_conda_package(\"scikit-learn\")\n",
"myenv.add_pip_package(\"pynacl==1.2.1\")\n",
"print(myenv.serialize_to_string())\n",
"\n",
"with open(\"myenv.yml\",\"w\") as f:\n",

3
01.getting-started/10.register-model-create-image-deploy-service/10.register-model-create-image-deploy-service.ipynb
View File

@@ -129,7 +129,7 @@
},
"outputs": [],
"source": [
"regression_models = Model.list(tags=['area'])\n",
"regression_models = Model.list(workspace=ws, tags=['area'])\n",
"for m in regression_models:\n",
" print(\"Name:\", m.name,\"\\tVersion:\", m.version, \"\\tDescription:\", m.description, m.tags)"
]
@@ -206,6 +206,7 @@
"from azureml.core.conda_dependencies import CondaDependencies \n",
"\n",
"myenv = CondaDependencies.create(conda_packages=['numpy','scikit-learn'])\n",
"myenv.add_pip_package(\"pynacl==1.2.1\")\n",
"\n",
"with open(\"myenv.yml\",\"w\") as f:\n",
" f.write(myenv.serialize_to_string())"

66
tutorials/02.deploy-models.ipynb
View File

@@ -39,7 +39,11 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"register model from file"
]
},
"outputs": [],
"source": [
"# If you did NOT complete the tutorial, you can instead run this cell \n",
@@ -86,7 +90,11 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"check version"
]
},
"outputs": [],
"source": [
"%matplotlib inline\n",
@@ -113,7 +121,12 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"load workspace",
"download model"
]
},
"outputs": [],
"source": [
"from azureml.core import Workspace\n",
@@ -298,13 +311,18 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"set conda dependencies"
]
},
"outputs": [],
"source": [
"from azureml.core.conda_dependencies import CondaDependencies \n",
"\n",
"myenv = CondaDependencies()\n",
"myenv.add_conda_package(\"scikit-learn\")\n",
"myenv.add_pip_package(\"pynacl==1.2.1\")\n",
"\n",
"with open(\"myenv.yml\",\"w\") as f:\n",
" f.write(myenv.serialize_to_string())"
@@ -339,7 +357,12 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"configure web service",
"aci"
]
},
"outputs": [],
"source": [
"from azureml.core.webservice import AciWebservice\n",
@@ -372,7 +395,14 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"configure image",
"create image",
"deploy web service",
"aci"
]
},
"outputs": [],
"source": [
"%%time\n",
@@ -403,7 +433,11 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"get scoring uri"
]
},
"outputs": [],
"source": [
"print(service.scoring_uri)"
@@ -430,7 +464,11 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"score web service"
]
},
"outputs": [],
"source": [
"import json\n",
@@ -475,7 +513,11 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"score web service"
]
},
"outputs": [],
"source": [
"import requests\n",
@@ -511,7 +553,11 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"metadata": {
"tags": [
"delete web service"
]
},
"outputs": [],
"source": [
"service.delete()"