updates

Author: v-albemi

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

@@ -1,7 +1,7 @@
 ---
-title: Use Pipeline Parameters to Build Versatile Pipelines
+title: Use Pipeline Inputs to Build Versatile Pipelines
 titleSuffix: Azure Machine Learning
-description: Use pipeline parameters in the Azure Machine Learning designer.
+description: Use pipeline inputs 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 parameters so that I can dynamically set parameter values at runtime.
+#customer intent: As a machine learning engineer, I want to use pipleline inputs so that I can dynamically set parameter values at runtime.
 ---
 
-# Use pipeline parameters in the designer to build versatile pipelines
+# Use pipeline inputs in the designer to build versatile pipelines
 
 [!INCLUDE [v1 deprecation](../includes/sdk-v1-deprecation.md)]
 
-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.
+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.
 
-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).
+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).
 
 In this article, you learn how to do the following:
 
 > [!div class="checklist"]
-> * Create pipeline parameters.
-> * Delete and manage pipeline parameters.
-> * Supply pipeline paramenters when you trigger pipeline jobs.
+> * Create pipeline inputs.
+> * Delete and manage pipeline inputs.
+> * Supply pipeline inputs when you trigger pipeline jobs.
 
 ## Prerequisites
 
@@ -43,149 +43,149 @@ In this article, you learn how to do the following:
 
 ## Create a pipeline parameter
 
-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.
+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.
 
 > [!NOTE]
-> Pipeline parameters support only basic data types, like `int`, `float`, and `string`.
+> Pipeline inputs support only basic data types, like `int`, `float`, and `string`.
 
-### Option 1: Create a pipeline parameter in the settings panel
+### Option 1: Create a pipeline input in the settings panel
 
-In this section, you create a pipeline parameter in the settings panel.
+In this section, you create a pipeline input in the settings panel.
 
-In this example, you create a pipeline parameter that defines how a pipeline fills in missing data with the **Clean missing data** component.
+In this example, you create a pipeline input that defines how a pipeline fills in missing data with the **Clean missing data** component.
 
 1. In your pipeline draft, select **Piepleline interface**.
 
 1. In the **Pipeline interface** section, select the **+** button and then select an input type, for example, `Double`. 
 
-1. Enter a name for the parameter and a default value. 
+1. Enter a name for the input and a default value. 
 
-   For example, enter `minimum-missing-value-ratio-2` as parameter name and `0.1` as the default value.
+   For example, enter `minimum-missing-value-ratio-2` as input 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 parameter." 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 input." lightbox ="media/how-to-use-pipeline-parameter/create-pipeline-parameter.png":::
 
 1. Select **Save**.
 
-After you create a pipeline parameter, you must [attach it to the component parameter](#attach-a-component-parameter-to-a-pipeline-parameter) that you want to dynamically set.
+After you create a pipeline input, you must [attach it to the component input](#attach-a-component-parameter-to-a-pipeline-parameter) that you want to dynamically set.
 
-### Option 2: Promote a component parameter
+### Option 2: Promote a component 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:
+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:
 
-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. 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. 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 parameter to a pipeline parameter." 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 input to a pipeline input." lightbox ="media/how-to-use-pipeline-parameter/promote-module-para-to-pipeline-para.png":::
 
-1. Enter a parameter name and a default value.
+1. Enter a input name and a default value.
 1. Select **Save**.
 
-You can now specify new values for this parameter anytime you submit the pipeline.
+You can now specify new values for this input anytime you submit the pipeline.
 
-### Option 3: Promote a dataset to a pipeline parameter
+### Option 3: Promote a 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:
+If you want to submit your pipeline with variable datasets, you need to promote your dataset to a pipeline input:
 
-1. Select the dataset you want to turn into a pipeline parameter.
+1. Select the dataset you want to turn into a pipeline input.
 
 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 parameter." 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 input." 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 parameter the next time you run the pipeline.
+You can now specify a different dataset by using the pipeline input the next time you run the pipeline.
 
-## Attach a component parameter to or detach a component pipeline from a pipeline parameter 
+## Attach a component input to or detach a component pipeline 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.
+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.
 
-### Attach a component parameter to a pipeline parameter
+### Attach a component input to a pipeline input
 
-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.
+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.
 
-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**:
+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**:
 
 1. Double-click the **Clean Missing Data** component.
 
 1. Select the ellipsis button (**...**) above the **Minimum missing value reatio** box.
 
-1. Select the pipeline parameter `minimum-missing-value-ratio-2`.
+1. Select the pipeline input `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 parameter." 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 input." 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 parameter. 
+You have successfully attached the **Minimum missing value ratio** field to your pipeline input. 
 
-### Detach a component parameter from a pipeline parameter
+### Detach a component input from a pipeline input
 
-When you detach a component parameter from a pipeline parameter, it's not actionable.
+When you detach a component input from a pipeline input, it's not actionable.
 
-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**.
+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**.
 
-:::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":::
+:::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":::
 
-## Update and delete pipeline parameters
+## Update and delete pipeline inputs
 
-In this section, you learn how to update and delete pipeline parameters.
+In this section, you learn how to update and delete pipeline inputs.
 
-### Update pipeline parameters
+### Update pipeline inputs
 
-Complete the following steps to update a component pipeline parameter:
+Complete the following steps to update a component pipeline input:
 
 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 parameters.
+1. You can view and update the names and default values for all of your pipeline inputs.
 
-### Delete a dataset pipeline parameter
+### Delete a dataset pipeline input
 
-Complete the following steps to delete a dataset pipeline parameter:
+Complete the following steps to delete a dataset pipeline input:
 
 1. Double-click the dataset component.
 1. Clear the **Set as pipeline input** checkbox.
 1. Select **Save**.
 
-### Delete component pipeline parameters
+### Delete component pipeline inputs
 
-Complete the following steps to delete a component pipeline parameter:
+Complete the following steps to delete a component pipeline input:
 
 1. To the right of the canvas, select **Pipeline interface**.
 
-1. Select the recycle bin icon next to the pipeline parameter.
+1. Select the recycle bin icon next to the pipeline input.
 
-    :::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":::
+    :::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":::
 
 1. Confirm the deletion in the resulting pop-up window.
 
     > [!NOTE]
-    > Deleting a pipeline parameter causes all attached component parameters to be detached. The values of detached component parameters will keep current pipeline parameter values.
+    > Deleting a pipeline input causes all attached component inputs to be detached. The values of detached component inputs will keep current pipeline input values.
 
-## Supply pipeline parameters when you trigger a pipeline job
+## Supply pipeline inputs when you trigger a pipeline job
 
 In this section, you learn how to supply pipeline paramaters when you submit a pipeline job.
 
 ### Resubmit a pipeline job
 
-After you submit a pipeline with pipeline parameters, you can resubmit the job with different parameters:
+After you submit a pipeline with pipeline inputs, you can resubmit the job with different inputs:
 
-1. Go to pipeline detail page. In the **Pipeline run overview** pane, you can check current pipeline parameters and values.
+1. Go to pipeline detail page. In the **Pipeline run overview** pane, you can check current pipeline inputs and values.
 1. Select **Resubmit**.
-1. In the **Set up pipleine job** window, specify your new pipeline parameters. 
+1. In the **Set up pipleine job** window, specify your new pipeline inputs. 
 
-   :::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":::
+   :::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":::
 
 ### Use published pipelines
 
-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.
+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.
 
 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 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).
+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).
 
 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).