Skip to content

Commit 3102e87

Browse files
committed
Fixed warnings
1 parent f432120 commit 3102e87

File tree

1 file changed

+10
-10
lines changed

1 file changed

+10
-10
lines changed

articles/machine-learning/how-to-convert-ml-experimental-to-production.md

Lines changed: 10 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -1,11 +1,11 @@
11
---
2-
title: #Required; page title displayed in search results. Include the word "tutorial". Include the brand.
3-
description: #Required; article description that is displayed in search results. Include the word "tutorial".
4-
author: #Required; your GitHub user alias, with correct capitalization.
5-
ms.author: #Required; microsoft alias of author; optional team alias.
6-
ms.service: #Required; service per approved list. service slug assigned to your service by ACOM.
2+
title: Convert machine learning experimental code to production code. #Required; page title displayed in search results. Include the word "tutorial". Include the brand.
3+
description: Convert machine learning experimental code to production code using the MLOpsPython code template. #Required; article description that is displayed in search results. Include the word "tutorial".
4+
author: bjcmit #Required; your GitHub user alias, with correct capitalization.
5+
ms.author: brysmith #Required; microsoft alias of author; optional team alias.
6+
ms.service: machine-learning #Required; service per approved list. service slug assigned to your service by ACOM.
77
ms.topic: tutorial #Required
8-
ms.date: #Required; mm/dd/yyyy format.
8+
ms.date: 01/28/2020; mm/dd/yyyy format.
99
---
1010

1111
<!---Recommended: Remove all the comments in this template before you
@@ -458,10 +458,10 @@ To get rid of evaluation, enable the switch to skip the evaluation step in the p
458458

459459
Advance to the next article to learn how to create...
460460
> [!div class="nextstepaction"]
461-
> [Monitor Azure ML experiment runs and metrics](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-track-experiments)
462-
> [Monitor and collect data from ML web service endpoints](https://docs.microsoft.com/en-us/azure/machine-learning/how-to-enable-app-insight)
463-
> [Data Ingestion Overview] (https://docs.microsoft.com/en-us/azure/machine-learning/overview-data-ingestion)
464-
> [DevOps for a Data Ingestion Pipeline] (https://docs.microsoft.com/en-us/azure/machine-learning/how-to-cicd-data-ingestion
461+
> [Monitor Azure ML experiment runs and metrics](https://docs.microsoft.com/azure/machine-learning/how-to-track-experiments)
462+
> [Monitor and collect data from ML web service endpoints](https://docs.microsoft.com/azure/machine-learning/how-to-enable-app-insight)
463+
> [Data Ingestion Overview] (https://docs.microsoft.com/azure/machine-learning/overview-data-ingestion)
464+
> [DevOps for a Data Ingestion Pipeline] (https://docs.microsoft.com/azure/machine-learning/how-to-cicd-data-ingestion
465465

466466

467467
<!--- Required:

0 commit comments

Comments
 (0)