mirror of
https://github.com/Azure/MachineLearningNotebooks.git
synced 2025-12-22 02:25:12 -05:00
mitigation to image creation issue
This commit is contained in:
@@ -458,7 +458,7 @@
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from azureml.core.model import Model\n",
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"from azureml.core.model import Model\n",
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"models = Model.list(name='best_model')\n",
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"models = Model.list(workspace=ws, name='best_model')\n",
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"for m in models:\n",
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"for m in models:\n",
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" print(m.name, m.version)"
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" print(m.name, m.version)"
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]
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]
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@@ -527,6 +527,7 @@
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"\n",
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"\n",
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"myenv = CondaDependencies()\n",
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"myenv = CondaDependencies()\n",
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"myenv.add_conda_package(\"scikit-learn\")\n",
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"myenv.add_conda_package(\"scikit-learn\")\n",
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"myenv.add_pip_package(\"pynacl==1.2.1\")\n",
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"print(myenv.serialize_to_string())\n",
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"print(myenv.serialize_to_string())\n",
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"\n",
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"\n",
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"with open(\"myenv.yml\",\"w\") as f:\n",
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"with open(\"myenv.yml\",\"w\") as f:\n",
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@@ -129,7 +129,7 @@
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},
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"regression_models = Model.list(tags=['area'])\n",
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"regression_models = Model.list(workspace=ws, tags=['area'])\n",
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"for m in regression_models:\n",
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"for m in regression_models:\n",
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" print(\"Name:\", m.name,\"\\tVersion:\", m.version, \"\\tDescription:\", m.description, m.tags)"
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" print(\"Name:\", m.name,\"\\tVersion:\", m.version, \"\\tDescription:\", m.description, m.tags)"
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]
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]
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@@ -206,6 +206,7 @@
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"from azureml.core.conda_dependencies import CondaDependencies \n",
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"from azureml.core.conda_dependencies import CondaDependencies \n",
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"\n",
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"\n",
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"myenv = CondaDependencies.create(conda_packages=['numpy','scikit-learn'])\n",
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"myenv = CondaDependencies.create(conda_packages=['numpy','scikit-learn'])\n",
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"myenv.add_pip_package(\"pynacl==1.2.1\")\n",
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"\n",
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"\n",
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"with open(\"myenv.yml\",\"w\") as f:\n",
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"with open(\"myenv.yml\",\"w\") as f:\n",
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" f.write(myenv.serialize_to_string())"
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" f.write(myenv.serialize_to_string())"
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@@ -39,7 +39,11 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"register model from file"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"# If you did NOT complete the tutorial, you can instead run this cell \n",
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"# If you did NOT complete the tutorial, you can instead run this cell \n",
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@@ -86,7 +90,11 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"check version"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"%matplotlib inline\n",
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"%matplotlib inline\n",
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@@ -113,7 +121,12 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"load workspace",
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"download model"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from azureml.core import Workspace\n",
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"from azureml.core import Workspace\n",
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@@ -298,13 +311,18 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"set conda dependencies"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from azureml.core.conda_dependencies import CondaDependencies \n",
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"from azureml.core.conda_dependencies import CondaDependencies \n",
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"\n",
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"\n",
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"myenv = CondaDependencies()\n",
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"myenv = CondaDependencies()\n",
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"myenv.add_conda_package(\"scikit-learn\")\n",
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"myenv.add_conda_package(\"scikit-learn\")\n",
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"myenv.add_pip_package(\"pynacl==1.2.1\")\n",
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"\n",
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"\n",
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"with open(\"myenv.yml\",\"w\") as f:\n",
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"with open(\"myenv.yml\",\"w\") as f:\n",
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" f.write(myenv.serialize_to_string())"
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" f.write(myenv.serialize_to_string())"
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@@ -339,7 +357,12 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"configure web service",
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"aci"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"from azureml.core.webservice import AciWebservice\n",
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"from azureml.core.webservice import AciWebservice\n",
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@@ -372,7 +395,14 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"configure image",
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"create image",
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"deploy web service",
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"aci"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"%%time\n",
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"%%time\n",
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@@ -403,7 +433,11 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"get scoring uri"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"print(service.scoring_uri)"
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"print(service.scoring_uri)"
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@@ -430,7 +464,11 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"score web service"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"import json\n",
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"import json\n",
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@@ -475,7 +513,11 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"score web service"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"import requests\n",
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"import requests\n",
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@@ -511,7 +553,11 @@
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": null,
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"tags": [
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"delete web service"
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]
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},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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"service.delete()"
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"service.delete()"
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