--- schema_version: "1" id: 6bf960859e2e06f774eb43a3d9e1757256f67af81d517369e6ef994a6aae5ef4 title: Deploy Models collection: admin version: current locale: en-us portal_url: https://docs.salesforce.com/admin/current/en-us/analytics/264-0-0/bi_edd_model_deploy.md canonical_url: https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy.htm&release=264.0.0&type=5 source_site: help.salesforce.com content_type: documentation content_hash: 81d09b0e7e3c92683f269ace7a595b40f3e094eb7b5aa6e6926440c230920578 description: Deploy a model so that you can use it to make predictions and improvements. products: - CRM Analytics - Cross Cloud release: "264" --- # Deploy Models Deploy a model so that you can use it to make predictions and improvements. ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/images/icon_note.png) Note Einstein Discovery stories are now models. We wish we could snap our fingers to update the name everywhere, but you can expect to see the previous name in a few places until we replace it. ![Note](https://sf-zdocs-cdn-prod.zoominsoftware.com/tdta-analytics-bi-264-0-0-production-enus/ec791473-f5b4-4f64-a656-9104f455d966/images/icon_note.png) Note Before you deploy a model: - Consider reviewing Model Metrics to assess its quality. - For the classification use case (binary outcomes based on text fields), consider setting the threshold level in the [Threshold Evaluation for Binary Classification Use Cases](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_metrics_threshold_evaluation_category.htm&release=264.0.0&type=5 "Threshold Evaluation helps you optimize the threshold value for a model. The threshold value tells your model how to classify a binary outcome. If the calculated probability is above the threshold value, Einstein classifies the outcome one way (such as True or Positive). If the calculated probability is below the threshold value, Einstein classifies the outcome the other way (such as False or Negative)."). - If you want this model to use automated prediction writeback, before you deploy it, read the deployment requirements in [Display Einstein Predictions Using Automated Prediction Writeback](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_prediction_automated.htm&release=264.0.0&type=5 "When automated prediction writeback fields are configured for a prediction definition that outputs a numerical prediction (regression) or score (binary classification), Einstein Discovery can save predictions directly to Salesforce records for use in reports and list views. Configure automated prediction writeback in Model Manager. After deployment, Einstein scores newly created or updated records in the Salesforce object and writes the score to the prediction field. Only the prediction is written, not the reasons for the prediction or the suggested ways in which to improve the prediction."). To deploy a model, open it, click **Deploy Model** (either from the Model Overview screen or from the model tools dropdown), and then complete the following steps. 1. **[Select a Target Prediction Definition or Model](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_new_existing.htm&release=264.0.0&type=5)** Choose how you want to deploy this model: to a new prediction definition, to an existing prediction definition, or to replace an existing model. 2. **[Select Whether to Connect to a Salesforce Object](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_object.htm&release=264.0.0&type=5)** If you deploy this model to a new or existing prediction definition, decide which Salesforce object, if any, you want to associate with the prediction. 3. **[Map Model Variables](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_map.htm&release=264.0.0&type=5)** Define the mapping between variables in the model to fields in the Salesforce object or to columns in the supplemental dataset. 4. **[Configure Projected Predictions](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_projected_prediction.htm&release=264.0.0&type=5)** If the model is configured to derive a projected prediction, revise time frame settings as needed. 5. **[Configure Segmentation Filters](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_filter.htm&release=264.0.0&type=5)** Choose whether to use the model to get predictions on all data or on just a segment (subset) of the data. For example, you can focus on a specific product model or a group of customers. A prediction definition can contain multiple models in which each model produces predictions for a different segment. 6. **[Select Actionable Variables for Suggested Improvements](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_variable.htm&release=264.0.0&type=5)** The suggested improvements from Einstein Discovery are recommendations that users can take action on to improve predicted outcomes. To get suggested improvements, at least one actionable variable must be selected on the model. Actionable variables represent data factors that people can control, such as deciding which marketing campaign to use for a particular customer. 7. **[Customize Prediction Text](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_custom_text.htm&release=264.0.0&type=5)** Provide custom text for variables that appear as top predictors or suggested improvements on your Salesforce records to make them easier to understand. For example, you can have Einstein explain that a top predictor for time in the sales cycle is “Repeat Purchase” instead of “Previous Closed Won Opportunity Match is True.” You can also have Einstein suggest to “Schedule a meeting” instead of “Set Last Customer Meeting More than 30 days to False.” Your custom text for top predictors and suggested improvements is configured in the model. 8. **[Review Your Selections and Deploy the Model](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_deploy_review.htm&release=264.0.0&type=5)** Review your deployment settings before deploying the model. #### See Also - [Manage Prediction Definitions and Models](https://help.salesforce.com/s/articleView?id=analytics.bi_edd_model_manager.htm&release=264.0.0&type=5 "Use the Model Manager to view, configure, and manage prediction definitions and models that have been deployed in your org.")