Skip to content

Commit c3496cc

Browse files
committed
minor updates
1 parent 238e75e commit c3496cc

File tree

1 file changed

+1
-1
lines changed

1 file changed

+1
-1
lines changed

articles/machine-learning/service/how-to-train-sklearn.md

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -14,7 +14,7 @@ ms.custom: seodec18
1414

1515
# Train and register Scikit-learn models at scale with Azure Machine Learning service
1616

17-
This article shows you how to train and register a Scikit-learn model using Azure Machine Learning service. It uses the popular [Iris dataset](https://archive.ics.uci.edu/ml/datasets/iris) to classify iris flower images using the [scikit-learn library].
17+
This article shows you how to train and register a Scikit-learn model using Azure Machine Learning service. It uses the popular [Iris dataset](https://archive.ics.uci.edu/ml/datasets/iris) to classify iris flower images with the custom [scikit-learn](https://docs.microsoft.com/python/api/azureml-train-core/azureml.train.sklearn.sklearn?view=azure-ml-py) class.
1818

1919
Scikit-learn is an open-source computational framework commonly used for machine learning. With Azure Machine Learning service, you can rapidly scale out open-source training jobs using elastic cloud compute resources. You can also track your training runs, version models, deploy models, and much more.
2020

0 commit comments

Comments
 (0)