updates

Author: v-albemi

articles/machine-learning/v1/how-to-use-pipeline-parameter.md

@@ -1,7 +1,7 @@
 ---
-title: Use Pipeline Inputs to Build Versatile Pipelines
+title: Use Pipeline Parameters to Build Versatile Pipelines
 titleSuffix: Azure Machine Learning
-description: Use pipeline inputs in the Azure Machine Learning designer.
+description: Use pipeline parameters in the Azure Machine Learning designer.
 services: machine-learning
 ms.service: azure-machine-learning
 ms.subservice: mlops
@@ -12,23 +12,23 @@ ms.date: 06/12/2025
 ms.topic: how-to
 ms.custom: UpdateFrequency5, designer
 
-#customer intent: As a machine learning engineer, I want to use pipleline inputs so that I can dynamically set parameter values at runtime.
+#customer intent: As a machine learning engineer, I want to use pipleline parameters so that I can dynamically set parameter values at runtime.
 ---
 
-# Use pipeline inputs in the designer to build versatile pipelines
+# Use pipeline parameters in the designer to build versatile pipelines
 
 [!INCLUDE [v1 deprecation](../includes/sdk-v1-deprecation.md)]
 
-This article describes how to use pipeline inputs to build flexible pipelines in the Azure Machine Learning designer. Pipeline inputs enable you to dynamically set values at runtime so you can encapsulate pipeline logic and reuse assets.
+This article describes how to use pipeline parameters to build flexible pipelines in the Azure Machine Learning designer. Pipeline parameters enable you to dynamically set values at runtime so you can encapsulate pipeline logic and reuse assets.
 
-Pipeline inputs are especially useful when you resubmit a pipeline job, [retrain models](how-to-retrain-designer.md), or [perform batch predictions](how-to-run-batch-predictions-designer.md).
+Pipeline parameters are especially useful when you resubmit a pipeline job, [retrain models](how-to-retrain-designer.md), or [perform batch predictions](how-to-run-batch-predictions-designer.md).
 
 In this article, you learn how to do the following:
 
 > [!div class="checklist"]
-> * Create pipeline inputs.
-> * Delete and manage pipeline inputs.
-> * Supply pipeline inputs when you trigger pipeline jobs.
+> * Create pipeline parameters.
+> * Delete and manage pipeline parameters.
+> * Supply pipeline parameters when you trigger pipeline jobs.
 
 ## Prerequisites
 
@@ -41,149 +41,149 @@ In this article, you learn how to do the following:
 > [!IMPORTANT]
 > If you don't see the UI elements mentioned in this article, such as buttons in studio or designer, you might not have the right level of permissions for the workspace. Contact your Azure subscription administrator to verify that you're granted the correct level of access. For more information, see [Manage users and roles](../how-to-assign-roles.md).
 
-## Create a pipeline input
+## Create a pipeline parameter
 
-There are three ways to create a pipeline input in the designer:
-- Create a pipeline input in the settings panel and bind it to a component.
-- Promote a component input to a pipeline input.
-- Promote a dataset to a pipeline input.
+There are three ways to create a pipeline parameter in the designer:
+- Create a pipeline parameter in the settings panel and bind it to a component.
+- Promote a component parameter to a pipeline parameter.
+- Promote a dataset to a pipeline parameter.
 
 > [!NOTE]
-> Pipeline inputs support only basic data types, like `int`, `float`, and `string`.
+> Pipeline parameters support only basic data types, like `int`, `float`, and `string`.
 
-### Option 1: Create a pipeline input in the settings panel
+### Option 1: Create a pipeline parameter in the settings panel
 
-In this section, you create a pipeline input in the settings panel.
+In this section, you create a pipeline parameter in the settings panel.
 
 1. In your pipeline draft, select **Pipeline interface**.
 
-1. In the **Pipeline interface** section, select the **+** button and then select an input type, for example, `Double`. 
+1. In the **Pipeline interface** section, select the **+** button and then select an parameter type, for example, `Double`. 
 
-1. Enter a name for the input and a default value. 
+1. Enter a name for the parameter and a default value. 
 
-   For example, enter `minimum-missing-value-ratio-2` as input name and `0.1` as the default value.
+   For example, enter `minimum-missing-value-ratio-2` as parameter name and `0.1` as the default value.
 
-   :::image type="content" source="media/how-to-use-pipeline-parameter/create-pipeline-parameter.png" alt-text="Screenshot that shows how to create a pipeline input." lightbox ="media/how-to-use-pipeline-parameter/create-pipeline-parameter.png":::
+   :::image type="content" source="media/how-to-use-pipeline-parameter/create-pipeline-parameter.png" alt-text="Screenshot that shows how to create a pipeline parameter." lightbox ="media/how-to-use-pipeline-parameter/create-pipeline-parameter.png":::
 
 1. Select **Save**.
 
-After you create a pipeline input, you must [attach it to the component input](#attach-a-component-input-to-a-pipeline-input) that you want to dynamically set.
+After you create a pipeline parameter, you must [attach it to the component parameter](#attach-a-component-input-to-a-pipeline-input) that you want to dynamically set.
 
-### Option 2: Promote a component input
+### Option 2: Promote a component parameter
 
-The easiest way to create a pipeline input for a component value is to promote a component input. Use the following steps to promote a component input to a pipeline input:
+The easiest way to create a pipeline parameter for a component value is to promote a component parameter. Use the following steps to promote a component parameter to a pipeline parameter:
 
-1. Double-click the component you want to attach a pipeline input to.
-1. Select the ellipsis button (**...**) next to the input that you want to specify.
+1. Double-click the component you want to attach a pipeline parameter to.
+1. Select the ellipsis button (**...**) next to the parameter that you want to specify.
 1. Select **Add to pipeline input**.
 
-   :::image type="content" source="media/how-to-use-pipeline-parameter/promote-module-para-to-pipeline-para.png" alt-text="Screenshot that shows how to promote a component input to a pipeline input." lightbox ="media/how-to-use-pipeline-parameter/promote-module-para-to-pipeline-para.png":::
+   :::image type="content" source="media/how-to-use-pipeline-parameter/promote-module-para-to-pipeline-para.png" alt-text="Screenshot that shows how to promote a component parameter to a pipeline parameter." lightbox ="media/how-to-use-pipeline-parameter/promote-module-para-to-pipeline-para.png":::
 
-1. Enter an input name and a default value.
+1. Enter an parameter name and a default value.
 1. Select **Save**.
 
-You can now specify new values for this input anytime you submit the pipeline.
+You can now specify new values for this parameter anytime you submit the pipeline.
 
-### Option 3: Promote a dataset to a pipeline input
+### Option 3: Promote a dataset to a pipeline parameter
 
-If you want to submit your pipeline with variable datasets, you need to promote your dataset to a pipeline input:
+If you want to submit your pipeline with variable datasets, you need to promote your dataset to a pipeline parameter:
 
-1. Select the dataset you want to turn into a pipeline input.
+1. Select the dataset you want to turn into a pipeline parameter.
 
 1. In the details pane of the dataset, select **Set as pipeline input**.
 
-   :::image type="content" source="media/how-to-use-pipeline-parameter/set-dataset-as-pipeline-parameter.png" alt-text="Screenshot that shows how to set dataset as pipeline input." lightbox ="media/how-to-use-pipeline-parameter/set-dataset-as-pipeline-parameter.png":::
+   :::image type="content" source="media/how-to-use-pipeline-parameter/set-dataset-as-pipeline-parameter.png" alt-text="Screenshot that shows how to set dataset as pipeline parameter." lightbox ="media/how-to-use-pipeline-parameter/set-dataset-as-pipeline-parameter.png":::
 
 1. Select **Save**.
 
-You can now specify a different dataset by using the pipeline input the next time you run the pipeline.
+You can now specify a different dataset by using the pipeline parameter the next time you run the pipeline.
 
-## Attach a component input to or detach a component input from a pipeline input 
+## Attach a component parameter to or detach a component parameter from a pipeline parameter 
 
-In this section, you learn how to attach a component input to a pipeline input and how to detach a component input from a pipeline input.
+In this section, you learn how to attach a component parameter to a pipeline parameter and how to detach a component parameter from a pipeline parameter.
 
-### Attach a component input to a pipeline input
+### Attach a component parameter to a pipeline parameter
 
-You can attach the component inputs of duplicated components to the same pipeline input if you want to alter the value one time when you trigger the pipeline job.
+You can attach the component parameters of duplicated components to the same pipeline parameter if you want to alter the value one time when you trigger the pipeline job.
 
-In the following example, the **Clean Missing Data** component is duplicated. For each **Clean Missing Data** component, attach a **Minimum missing value ratio** to the pipeline input **minimum-missing-value-ratio-2**:
+In the following example, the **Clean Missing Data** component is duplicated. For each **Clean Missing Data** component, attach a **Minimum missing value ratio** to the pipeline parameter **minimum-missing-value-ratio-2**:
 
 1. Double-click the **Clean Missing Data** component.
 
 1. Select the ellipsis button (**...**) above the **Minimum missing value ratio** box.
 
-1. Select the pipeline input `minimum-missing-value-ratio-2`.
+1. Select the pipeline parameter `minimum-missing-value-ratio-2`.
 
-   :::image type="content" source="media/how-to-use-pipeline-parameter/attach-replace-value-to-pipeline-parameter.png" alt-text="Screenshot that shows how to attach a pipeline input." lightbox ="media/how-to-use-pipeline-parameter/attach-replace-value-to-pipeline-parameter.png":::
+   :::image type="content" source="media/how-to-use-pipeline-parameter/attach-replace-value-to-pipeline-parameter.png" alt-text="Screenshot that shows how to attach a pipeline parameter." lightbox ="media/how-to-use-pipeline-parameter/attach-replace-value-to-pipeline-parameter.png":::
 
 1. Select **Save**.
 
-You have successfully attached the **Minimum missing value ratio** field to your pipeline input. 
+You have successfully attached the **Minimum missing value ratio** field to your pipeline parameter. 
 
-### Detach a component input from a pipeline input
+### Detach a component parameter from a pipeline parameter
 
-When you detach a component input from a pipeline input, it's not actionable.
+When you detach a component parameter from a pipeline parameter, it's not actionable.
 
-You can detach a component input from a pipeline input by selecting the ellipsis button (**...**) next to the component input and then selecting **Detach from pipeline input**.
+You can detach a component parameter from a pipeline parameter by selecting the ellipsis button (**...**) next to the component parameter and then selecting **Detach from pipeline input**.
 
-:::image type="content" source="media/how-to-use-pipeline-parameter/non-actionable-module-parameter.png" alt-text="Screenshot that shows how to detach a component input." lightbox ="media/how-to-use-pipeline-parameter/non-actionable-module-parameter.png":::
+:::image type="content" source="media/how-to-use-pipeline-parameter/non-actionable-module-parameter.png" alt-text="Screenshot that shows how to detach a component parameter." lightbox ="media/how-to-use-pipeline-parameter/non-actionable-module-parameter.png":::
 
-## Update and delete pipeline inputs
+## Update and delete pipeline parameters
 
-In this section, you learn how to update and delete pipeline inputs.
+In this section, you learn how to update and delete pipeline parameters.
 
-### Update pipeline inputs
+### Update pipeline parameters
 
-Complete the following steps to update a component pipeline input:
+Complete the following steps to update a component pipeline parameter:
 
 1. To the right of the canvas, select **Pipeline interface**.
-1. You can view and update the names and default values for all of your pipeline inputs.
+1. You can view and update the names and default values for all of your pipeline parameters.
 
-### Delete a dataset pipeline input
+### Delete a dataset pipeline parameter
 
-Complete the following steps to delete a dataset pipeline input:
+Complete the following steps to delete a dataset pipeline parameter:
 
 1. Double-click the dataset component.
 1. Clear the **Set as pipeline input** checkbox.
 1. Select **Save**.
 
-### Delete component pipeline inputs
+### Delete component pipeline parameters
 
-Complete the following steps to delete a component pipeline input:
+Complete the following steps to delete a component pipeline parameter:
 
 1. To the right of the canvas, select **Pipeline interface**.
 
-1. Select the recycle bin icon next to the pipeline input.
+1. Select the recycle bin icon next to the pipeline parameter.
 
-    :::image type="content" source="media/how-to-use-pipeline-parameter/delete-pipeline-parameter2.png" alt-text="Screenshot that shows the current pipeline input applied to a component." lightbox ="media/how-to-use-pipeline-parameter/delete-pipeline-parameter2.png":::
+    :::image type="content" source="media/how-to-use-pipeline-parameter/delete-pipeline-parameter2.png" alt-text="Screenshot that shows the current pipeline parameter applied to a component." lightbox ="media/how-to-use-pipeline-parameter/delete-pipeline-parameter2.png":::
 
 1. Confirm the deletion in the resulting pop-up window.
 
     > [!NOTE]
-    > Deleting a pipeline input causes all attached component inputs to be detached. The values of detached component inputs will keep current pipeline input values.
+    > Deleting a pipeline parameter causes all attached component parameters to be detached. The values of detached component parameters will keep current pipeline parameter values.
 
-## Supply pipeline inputs when you trigger a pipeline job
+## Supply pipeline parameters when you trigger a pipeline job
 
-In this section, you learn how to supply pipeline inputs when you submit a pipeline job.
+In this section, you learn how to supply pipeline parameters when you submit a pipeline job.
 
 ### Resubmit a pipeline job
 
-After you submit a pipeline with pipeline inputs, you can resubmit the job with different inputs:
+After you submit a pipeline with pipeline parameters, you can resubmit the job with different parameters:
 
-1. Go to pipeline detail page. In the **Pipeline run overview** pane, you can check current pipeline inputs and values.
+1. Go to pipeline detail page. In the **Pipeline run overview** pane, you can check current pipeline parameters and values.
 1. Select **Resubmit**.
-1. In the **Set up pipeline job** window, specify your new pipeline inputs. 
+1. In the **Set up pipeline job** window, specify your new pipeline parameters. 
 
-   :::image type="content" source="media/how-to-use-pipeline-parameter/resubmit-pipeline-run.png" alt-text="Screenshot that shows how to resubmit a pipeline with pipeline inputs." lightbox ="media/how-to-use-pipeline-parameter/resubmit-pipeline-run.png":::
+   :::image type="content" source="media/how-to-use-pipeline-parameter/resubmit-pipeline-run.png" alt-text="Screenshot that shows how to resubmit a pipeline with pipeline parameters." lightbox ="media/how-to-use-pipeline-parameter/resubmit-pipeline-run.png":::
 
 ### Use published pipelines
 
-You can also publish a pipeline to use its pipeline inputs. A *published pipeline* is a pipeline that has been deployed to a compute resource. Client applications can invoke the pipeline via a REST endpoint.
+You can also publish a pipeline to use its pipeline parameters. A *published pipeline* is a pipeline that has been deployed to a compute resource. Client applications can invoke the pipeline via a REST endpoint.
 
 Published endpoints are especially useful for retraining and batch prediction scenarios. For more information, see [How to retrain models in the designer](how-to-retrain-designer.md) or [Run batch predictions in the designer](how-to-run-batch-predictions-designer.md).
 
 ## Next steps
 
-In this article, you learned how to create pipeline inputs in the designer. Next, see how you can use pipeline inputs to [retrain models](how-to-retrain-designer.md) or perform [batch predictions](how-to-run-batch-predictions-designer.md).
+In this article, you learned how to create pipeline parameters in the designer. Next, see how you can use pipeline parameters to [retrain models](how-to-retrain-designer.md) or perform [batch predictions](how-to-run-batch-predictions-designer.md).
 
 You can also learn how to [use pipelines programmatically with the SDK v1](how-to-deploy-pipelines.md?view=azureml-api-1&preserve-view=true).