---
schema_version: "1"
id: 1c441787e831b6963557bcbe2366f2f017afe7ae2904e1ce27d3d0ea1131a043
title: "Discovery Predict Transformation: Get Einstein Discovery Predictions"
collection: admin
version: current
locale: en-us
portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_integrate_recipe_transformation_einsteinpredict.md
canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_integrate_recipe_transformation_einsteinpredict.htm&release=264.0.0&type=5
source_site: help.salesforce.com
content_type: documentation
content_hash: 57e888e54fc2cee1658f98ac1df22524106139d5c375598d079de92624a669da
description: In CRM Analytics, use the Discovery Predict transformation to populate your datasets with predictive and prescriptive intelligence. When you run a Data Prep recipe with a Discovery Predict node, Einstein calculates and saves predicted outcomes on a row-by-row basis. You can optionally store descriptions of top predictors and improvements. With the Discovery Predict node, you can quickly evaluate predictions across a large set of data, assess multiple models before deploying them into production, and aggregate this information in a dashboard.
products:
  - CRM Analytics
  - Cross Cloud
release: "264"
---
# Discovery Predict Transformation: Get Einstein Discovery Predictions

In CRM Analytics, use the Discovery Predict transformation to populate your datasets with predictive and prescriptive intelligence. When you run a Data Prep recipe with a Discovery Predict node, Einstein calculates and saves predicted outcomes on a row-by-row basis. You can optionally store descriptions of top predictors and improvements. With the Discovery Predict node, you can quickly evaluate predictions across a large set of data, assess multiple models before deploying them into production, and aggregate this information in a dashboard.

### Required Editions

## Discovery Predict Transformation: Get Einstein Discovery Predictions

<table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small permission">
        <colgroup>
          <col style="width:50%">
          <col style="width:50%">
        </colgroup>
        <thead class="slds-text-title_caps ">
          <tr class="">
            <th scope="colgroup" class="slds-cell-wrap" colspan="2" style="text-align:center;vertical-align:top;" id="d51261e39">User Permissions
              Needed</th>
          </tr>
        </thead>
        <tbody>
          <tr class="">
            <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d51261e39 ">To create a recipe:</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d51261e39 ">Edit Analytics Dataflows OR Edit Dataset Recipes</td>

          </tr>
          <tr class="">
            <td data-label="User Permissions Needed" class="slds-cell-wrap" style="vertical-align:top;" headers="d51261e39 ">To view predictions, improvements, and related details:</td>

            <td class="slds-cell-wrap" style="vertical-align:top;" headers="d51261e39 ">View Einstein Discovery Recommendations (see <a href="https://help.salesforce.com/articleView?id=bi_edd_setup_assign_permsets.htm&amp;language=en_US" target="_blank">Assign Einstein Discovery Permission Sets to
                Users</a>)</td>

          </tr>
        </tbody>
      </table>

1. Edit a Data Prep recipe.
2. Where you want to insert the node, click Add Node (+) and choose **Discovery Predict**.
    
    ![Add a node and choose Einstein Predict](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/resources-global/analytics/images/bi_integrate_recipe_transformation_EinsteinPredict_add.png)
3. Select a deployed prediction, then click **Next**.
    
    ![Select a deployed prediction for this Einstein Predict node](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/resources-global/analytics/images/bi_integrate_recipe_transformation_EinsteinPredict_source.png)
4. Map all fields from the prediction to the recipe.
    
    This example shows all fields from all active models, as well as segmentation filters.
    
    ![Map fields from the prediction to the recipe](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/resources-global/analytics/images/bi_integrate_recipe_transformation_EinsteinPredict_map.png)
5. If you want to include prediction and improvement text in the dataset, click the **Options** subtab.
    
    ![Map fields from the prediction to the recipe](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/resources-global/analytics/images/bi_integrate_recipe_transformation_EinsteinPredict_options.png)
    
    <table class="slds-table slds-table_bordered slds-max-medium-table_stacked slds-m-bottom_small ">
            <colgroup>
              <col style="width:19.193857965451055%">
              <col style="width:80.80614203454894%">
            </colgroup>
            <thead class="slds-text-title_caps ">
              <tr class="">
                <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d51261e116">Issue</th>
                <th scope="col" class="slds-cell-wrap" style="vertical-align:top;" id="d51261e118">Description</th>
              </tr>
            </thead>
            <tbody>
              <tr class="">
                <td data-label="Issue" class="slds-cell-wrap" style="vertical-align:top;" headers="d51261e116 "><strong class="uicontrol">Top predictors</strong></td>
                <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d51261e118 ">Enable <strong class="uicontrol">Top predictors</strong> and specify the number of
                  entries you want to save to the dataset.</td>
              </tr>
              <tr class="">
                <td data-label="Issue" class="slds-cell-wrap" style="vertical-align:top;" headers="d51261e116 "><strong class="uicontrol">Top improvements</strong></td>
                <td data-label="Description" class="slds-cell-wrap" style="vertical-align:top;" headers="d51261e118 ">
                  <p>Enable <strong class="uicontrol">Top improvements</strong> and specify the number of
                    entries you want to save to the dataset. </p>
                  <p>This option is available only for
                    predictions that use:</p>
                  <ul>
                    <li>numeric or binary classification models, and</li>
                    <li>the Generalized Linear Model (GLM) algorithm</li>
                  </ul>
                  <p style="margin-bottom:0;">If the selected prediction uses a multiclass classification model, or if
                    it uses a different algorithm, then getting top improvements is not an
                    available option. To learn more about algorithms in Einstein Discovery story
                    settings, see <a href="https://help.salesforce.com/articleView?id=bi_edd_story_modify.htm&amp;type=5&amp;language=en_US" target="_blank">Edit Story Settings</a>.</p>
                </td>
              </tr>
            </tbody>
          </table>
6. Click **Apply**.
    
    Einstein adds the Discovery Predict node to your recipe.
    
    ![Map fields from the prediction to the recipe](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/resources-global/analytics/images/bi_integrate_recipe_transformation_EinsteinPredict_added.png)
7. Save the recipe.

Run the recipe to get predictions.