Bi Dev Guide Rest Sdd

• Einstein Discovery REST API Enums: Enums specific to the /smartdatadiscovery namespace
• Einstein Discovery REST API Examples: Use Einstein Discovery REST API examples to perform tasks.
• Einstein Discovery REST Resources: REST API resources are sometimes called endpoints.
• Einstein Discovery REST API Request Bodies: To perform a POST, PATCH, or PUT request, pass query parameters or create a request body formatted in either XML or JSON. This chapter lists the request bodies. The query parameters are listed with each resource.
• Einstein Discovery REST API Response Bodies: The successful execution of a request to an Einstein Discovery REST API resource can return a response body in either JSON or XML format.
• Manage Prediction Jobs: The Einstein Prediction Service provides REST API endpoints to run bulk scoring jobs for a prediction. Bulk scoring jobs enable you to score predictions on multiple records at a time. For example, after deploying an updated model, use bulk scoring to refresh all prediction scores. You can also run bulk scoring on historical data to see how well your model performs. With bulk scoring, you can score all records, a segment of the records, or records that haven’t reached the terminal state.
• Manage Models: The Einstein Prediction Service provides REST API endpoints to manage models. Each model has a unique id. A model is used to evaluate predictors and return predictions and improvements. These REST endpoints allow you to make updates to model metadata, but not update the actual predictive model.
• Get Predictions: The Einstein Prediction Service provides a REST API endpoint to request a prediction.
• Query Prediction History: The Einstein Prediction Service provides a REST API endpoint to query prediction histories.
• Manage Prediction Definitions: The Einstein Prediction Service provides REST API endpoints to manage prediction definitions. A prediction definition specifies what the model is trying to predict and the Salesforce entity associated with the prediction. Each prediction definition has a unique id. Only certain attributes of a prediction definition can be modified.
• Manage Model Refresh Jobs: The Einstein Prediction Service provides REST API endpoints to retrieve metadata for model refresh jobs.
• API End-of-Life Policy: Salesforce is committed to supporting each API version for a minimum of three years from the date of first release. In order to mature and improve the quality and performance of the API, versions that are more than three years old might cease to be supported.
• Connect REST API Authorization: Connect REST API uses OAuth to securely identify your application before connecting to Salesforce.
• Einstein Discovery REST API Overview: You can access Einstein Discovery features such as predictions, models, and stories programmatically using the Einstein Discovery REST API.
• Einstein Discovery Connect REST API Release Notes: Use the Salesforce Release Notes to learn about the most recent updates and changes to the Einstein Discovery Connect REST API.
• Einstein Discovery REST API Resources Overview: The Einstein Discovery REST API provides resources so you can access your Einstein Discovery insights.
• Abstract Classification Threshold Input: The base classification threshold input.
• Abstract Smart Data Discovery Many To One Transformation Input: The base input to identify the transformation as many to one.
• Abstract Smart Data Discovery One To One Transformation Input: The base input to identify the transformation as one to one.
• Abstract Smart Data Discovery Projected Predictions Interval Setting Input: The base Einstein Discovery projected predictions interval settings input.
• Abstract Smart Data Discovery AI Model Source Input: The base source input for an Einstein Discovery AI model.
• Abstract Smart Data Discovery Field Mapping Source Input: The base Einstein Discovery field mapping source input.
• Abstract Smart Data Discovery Model Field Input: The base Einstein Discovery model field create or update.
• Abstract Smart Data Discovery Model Runtime Input: The base Einstein Discovery model runtime input.
• Abstract Smart Data Discovery Predict Input: The base predict input for Einstein Discovery.
• Abstract Smart Data Discovery Prediction Property Input: The base Einstein Discovery prediction property input.
• Abstract Smart Data Discovery Transformation Filter Input: The base Einstein Discovery transformation filter input.
• Abstract Smart Data Discovery Transformation Input: The base Einstein Discovery transformation input.
• Abstract Smart Data Discovery Transformation Override Input: The base Einstein Discovery transformation deploy override input.
• Abstract Story Data Property Input: The base Einstein Discovery story data property filter.
• Asset Reference Input: An Einstein Discovery asset reference. This wraps the BaseAssetReferenceInput
• Base Asset Reference Input: The base Einstein Discovery asset, inherited by AssetReferenceInput.
• Binary Classification Threshold Input: A binary classification threshold input.
• Smart Data Discovery Categorical Imputation Transformation Input: The input to identify the transformation as categorical imputation.
• Smart Data Discovery Classification Prediction Property Input: The input to identify the prediction type as Classification.
• Smart Data Discovery Custom Prescribable Field Definition Input: The input for a custom Einstein Discovery prescribable field definition to override default prescription text.
• Smart Data Discovery Extract Day of Week Transformation Input: The input for an extract day of week transformation.
• Smart Data Discovery Extract Month of Year Transformation Input: The input for an extract month of year transformation.
• Smart Data Discovery Field Mapping Analytics Dataset Field Input: Input for an Einstein Discovery field mapped from an analytics dataset source.
• Smart Data Discovery Free Text Clustering Transformation Input: The input for a free text clustering transformation.
• Smart Data Discovery Multiclass Classification Prediction Property Input: The input to identify the prediction type as Multiclass Classification.
• Smart Data Discovery Numerical Imputation Transformation Input: The input for a numerical imputation transformation.
• Predict History Input: The query input for prediction history.
• Predict History Range Input: The range for prediction history query.
• Smart Data Discovery Projected Predictions Count From Date Interval Setting Input: The input for settings for an Einstein Discovery count from date based projection interval.
• Smart Data Discovery Projected Predictions Count Interval Setting Input: The input for settings for an Einstein Discovery count based projection interval.
• Smart Data Discovery Projected Predictions Date Interval Setting Input: The input for settings for an Einstein Discovery date interval.
• Smart Data Discovery Projected Predictions Historical Dataset Source Input: The input for projected predictions transformation.
• Smart Data Discovery Projected Predictions Transformation Input: The input for a projected predictions transformation.
• Smart Data Discovery AI Model Discovery Source Input: The discovery source input for a Smart Data Discovery AI Model.
• Smart Data Discovery AI Model Input: The Einstein Discovery AI model to create or update.
• Smart Data Discovery AI Model Transformation Input: The input for an Einstein Discovery AI model transformation.
• Smart Data Discovery AI Model User Upload Source Input: The user upload source input for a Smart Data Discovery AI Model.
• Smart Data Discovery Cluster Input: The input for cluster definitions.
• Smart Data Discovery Complex Filter Input: The complex filter input for Einstein Discovery.
• Smart Data Discovery Customizable Field Input: Input for an Einstein Discovery customizable field.
• Smart Data Discovery Discovery Model Runtime Input: The input to identify the model runtime type as Discovery.
• Smart Data Discovery Field Mapping Input: An Einstein Discovery field mapping.
• Smart Data Discovery Field Mapping Salesforce Field Input: Input for an Einstein Discovery field mapped from a Salesforce field source.
• Smart Data Discovery Filter Input: The filter input for Einstein Discovery.
• Smart Data Discovery Filter Value Input: The filter value input for Einstein Discovery.
• Smart Data Discovery H20 Model Runtime Input: The input to identify the model runtime type as H20.
• Smart Data Discovery Model Field Date Input: The Einstein Discovery date model field create or update.
• Smart Data Discovery Model Field Numeric Input: The Einstein Discovery numeric model field create or update.
• Smart Data Discovery Model Field Text Input: The Einstein Discovery text model field create or update.
• Smart Data Discovery Model Input: The Einstein Discovery model to create or update.
• Smart Data Discovery Narrative Filter Input: The narrative filter metadata.
• Smart Data Discovery Narrative Input: The Einstein Discovery story narrative to retrieve.
• Smart Data Discovery Narrative Insight Input: The narrative insight metadata.
• Smart Data Discovery Narrative Query Input: The query metadata for the Einstein Discovery story narrative to retrieve.
• Smart Data Discovery Numeric Range Input: A numeric range for a field.
• Smart Data Discovery Numeric Transformation Filter Input: The input for a numeric transformation filter.
• Smart Data Discovery Predict Extension Input: The predict record extension input for Einstein Discovery.
• Smart Data Discovery Predict Input: The predict input for Einstein Discovery.
• Smart Data Discovery Predict Job Input: The predict job input for Einstein Discovery.
• Smart Data Discovery Predict Job Update Input: The input to update a predict job for Einstein Discovery.
• Smart Data Discovery Predict Nested Row List Input: The predict nested row list input for Einstein Discovery.
• Smart Data Discovery Predict Raw Data Input: The predict raw data input for Einstein Discovery.
• Smart Data Discovery Predict Record Input: The predict record input for Einstein Discovery.
• Smart Data Discovery Predict Record Overrides Input: The predict record overrides input for Einstein Discovery.
• Smart Data Discovery Predict Settings Input: The predict settings input for Einstein Discovery.
• Smart Data Discovery Prescribable Field Input: Input for an Einstein Discovery prescribable field.
• Smart Data Discovery Projected Prediction Settings Input: The projected prediction settings input for Einstein Discovery.
• Smart Data Discovery Projected Predictions Override Input: The input for deploy time projected predictions transformation overrides.
• Smart Data Discovery Regression Prediction Property Input: The input to identify the prediction type as Regression.
• Smart Data Discovery Scikit Learn 102 Model Runtime Input: The input to identify the model runtime type as Scikit Learn v1.0.2.
• Smart Data Discovery Sentiment Analysis Transformation Input: The input for a sentiment analysis transformation.
• Smart Data Discovery TensorFlow 27 Model Runtime Input: The input to identify the model runtime type as TensorFlow v2.7.0.
• Smart Data Discovery TensorFlow Model Runtime Input: The input to identify the model runtime type as TensorFlow.
• Smart Data Discovery Text Transformation Filter Input: The input for a text transformation filter.
• Story Day Field Value Input: The story data day property.
• Story Day of Week Field Value Input: The story data day of week property.
• Story Field Only Input: The story data field property.
• Story Month Field Value Input: The story data month property.
• Story Month of Year Field Value Input: The story data month of year property.
• Story Null Field Value Input: The story data null property.
• Story Quarter Field Value Input: The story data quarter property.
• Story Quarter of Year Field Value Input: The story data quarter of year property.
• Story Query Input: The input to query an Einstein Discovery story.
• Story Range Field Value Input: The story data range property.
• Story Text Field Value Input: The story data text property.
• Story Year Field Value Input: The story data year property.
• Metrics Resource: Returns the metrics collection for Einstein Discovery.
• Models Resource: Returns a collection of Einstein Discovery models and creates a model.
• Model Resource: Returns an Einstein Discovery model, updates a model, or deletes a model.
• Model Coefficients Resource: Returns a collection of coefficients for an Einstein Discovery model.
• Model File Resource: Returns a binary stream of the Einstein Discovery model file contents.
• Model Metrics Resource: Returns the metrics for an Einstein Discovery model.
• Model Metrics Feature Importances Resources: Returns the importance metrics for an Einstein Discovery Model
• Model Metrics Residuals Resource: Returns the metrics residuals for an Einstein Discovery model.
• Model Resources: Einstein Discovery models are sophisticated, custom mathematical constructs that are used to predict particular outcomes.
• Narrative Resource: Returns the narrative data for an Einstein Discovery story.
• Predict Resource: Make an Einstein Discovery prediction.
• Predict History Resource: Query the history of Einstein Discovery predictions.
• Predict Jobs Resource: Returns a collection of Einstein Discovery predict jobs and creates a predict job.
• Predict Job Resource: Returns an Einstein Discovery predict job.
• Predict Jobs Resources: Predict jobs run bulk scoring jobs for predictions. Bulk scoring jobs enable scoring predictions on multiple records at a time. For example, after deploying an updated model, use bulk scoring to refresh all prediction scores.
• Prediction Definition Resources: A prediction definition specifies what the model is trying to predict and the Salesforce entity associated with the prediction. Each prediction definition has a unique id. Only certain attributes of a prediction definition can be modified.
• Prediction Definitions Resource: Returns a collection of Einstein Discovery prediction definitions.
• Prediction Definition Resource: Returns or deletes an Einstein Discovery prediction definition.
• Prediction Definition Model Cards Resource: Returns a model card for an Einstein Discovery prediction definition.
• Prediction Definition Model Card Resource: Deletes a prediction definition model card.
• Prediction Definitions Models Resource: Returns a collection of Einstein Discovery prediction definition models.
• Prediction Definitions Model Resource: Returns or deletes a model for an Einstein Discovery prediction definition.
• Prediction Definitions Model Metrics Resource: Returns a collection of metrics for a prediction definition model.
• Refresh Jobs Resource: Returns a collection of Einstein Discovery refresh jobs.
• Refresh Job Resource: Returns an Einstein Discovery refresh job.
• Refresh Job Refresh Tasks Resource: Returns a collection of refresh tasks for an Einstein Discovery refresh job.
• Refresh Jobs Resources: Refresh jobs run refresh Einstein Discovery models.
• Smart Data Discovery Resource: Lists the top-level resources available for Einstein Discovery.
• Stories Resource: Returns a collection of Einstein Discovery stories.
• Story Resource: Returns an Einstein Discovery story.
• Story Histories Resource: Returns a collection of Einstein Discovery story history items.
• Story History Resource: Returns a specific Einstein Discovery story history item.
• Story History Query Resource: Runs a query on an Einstein Discovery story history item.
• Story History Summary Resource: Returns a summary for an Einstein Discovery story history item.
• Story Query Resource: Queries the current version of an Einstein Discovery story.
• Story Summary Resource: Returns a summary for the current version of an Einstein Discovery story.
• Stories Resources: Einstein Discovery stories are used to analyze your data. The insights from stories show you what happened in your data, why it happened, and what could happen.
• Abstract Bucketing Strategy: The base bucketing strategy.
• Abstract Classification Threshold: The base classification threshold.
• Abstract Date Field Configuration: The base Einstein Discovery date field configuration.
• Abstract Field Configuration: The base Einstein Discovery field configuration.
• Abstract Numeric Field Configuration: The base Einstein Discovery numeric field configuration.
• Abstract Smart Data Discovery Projected Predictions Interval Setting: The base Einstein Discovery projected predictions interval settings.
• Abstract Smart Data Discovery Aggregate Prediction: The base Einstein Discovery aggregate prediction result.
• Abstract Smart Data Discovery AI Model Metrics: The base Einstein Discovery AI model metric.
• Abstract Smart Data Discovery AI Model Source: The base Einstein Discovery AI model prediction property.
• Abstract Smart Data Discovery Field Mapping Source: The base Einstein Discovery field mapping source.
• Abstract Smart Data Discovery Model Field: The base Einstein Discovery model field.
• Abstract Smart Data Discovery Model Runtime: The base Einstein Discovery model run time.
• Abstract Smart Data Discovery Predict: The base Einstein Discovery predict result.
• Abstract Smart Data Discovery Prediction: The base Einstein Discovery prediction result.
• Abstract Smart Data Discovery Prediction Property: The base Einstein Discovery AI model prediction property.
• Abstract Smart Data Discovery Projected Prediction: The base Einstein Discovery projected prediction result.
• Abstract Smart Data Discovery Transformation Override: The base Einstein Discovery transformation deploy overrides.
• Abstract Smart Data Discovery Validation Configuration: The base validation configuration output.
• Abstract Story Data Property: The base Einstein Discovery story data property filter.
• Abstract Story Insights: The base story insights.
• Abstract Story Insights Case: The base story insights case.
• Abstract Story Narrative Element: The base story narrative element.
• Abstract Story Source: The base Einstein Discovery analysis source.
• Abstract Text Field Configuration: The base Einstein Discovery text field configuration.
• Analytics Dataset Source: An analytics dataset as the analysis source.
• Asset History: The asset history record.
• Asset History Collection: A collection of asset history items.
• Asset Reference: An Einstein Discovery asset reference. This wraps the BaseAssetReference
• Autopilot: The setup for autopilot.
• Base Asset Reference: The base Einstein Discovery asset, inherited by AssetReference.
• Binary Classification Threshold: A binary classification threshold.
• Date Field Configuration: The date field configuration.
• Diagnostic Insights Case: A story query diagnostic insights.
• Directory Item Collection: A collection of directory items.
• Even Width Bucketing Strategy: The even-width bucketing strategy.
• Manual Bucketing Strategy: The manual bucketing strategy.
• Model Field Label Metrics: Model field information that includes label, value and metrics data.
• Smart Data Discovery Multiclass Classification Prediction Property: The multiclass classification prediction model type.
• Numeric Field Configuration: The numeric field configuration.
• Percentile Bucketing Strategy: The percentile bucketing strategy.
• Predict History: The historical predictions for a target.
• Predict History Collection: A collection of historical predictions for a goal.
• Predict History Range: A range used for the historical prediction query.
• Predict History Value: A historical prediction value at a specific point in time.
• Smart Data Discovery Projected Predictions Count From Date Interval Setting: The settings for an Einstein Discovery count from date based projection interval.
• Smart Data Discovery Projected Predictions Count Interval Setting: The settings for an Einstein Discovery count based projection interval.
• Smart Data Discovery Projected Predictions Date Interval Setting: The settings for an Einstein Discovery date interval.
• Smart Data Discovery Regression Classification Prediction Property: The regression classification prediction model type.
• Report Source: An analytics report as the analysis source.
• Smart Data Discovery Aggregate Predict Condition: The aggregate predict condition for a collection of Einstein Discover predictions.
• Smart Data Discovery Aggregate Prediction: An Einstein Discovery aggregate prediction result.
• Smart Data Discovery Aggregate Prediction Error: An Einstein Discovery aggregate prediction error.
• Smart Data Discovery AI Model: An Einstein Discovery AI model to retrieve.
• Smart Data Discovery AI Model Classification Metrics: The binomial classification metrics for an Einstein Discovery AI model.
• Smart Data Discovery AI Model Coefficient Collection: A collection of Einstein Discovery AI model coefficients.
• Smart Data Discovery AI Model Collection: A collection of Einstein Discovery AI models.
• Smart Data Discovery AI Model Discovery Source: The discovery source for an AI model.
• Smart Data Discovery AI Model Multiclass Metrics: The multiclass metrics for an Einstein Discovery AI model.
• Smart Data Discovery AI Model Regression Metrics: The regression metrics for an Einstein Discovery AI model.
• Smart Data Discovery AI Model Residual: AnEinstein Discovery AI model residual.
• Smart Data Discovery AI Model Residual Collection: A collection of Einstein Discovery AI model residuals.
• Smart Data Discovery AI Model Transformation: An Einstein Discovery AI model transformation.
• Smart Data Discovery AI Model User Upload Source: The user upload source for an AI model.
• Smart Data Discovery Categorical Projected Prediction: An Einstein Discovery categorical projected prediction.
• Smart Data Discovery Classification Prediction Property: The classification prediction model type.
• Smart Data Discovery Contact: An Einstein Discovery contact.
• Smart Data Discovery Custom Prescribable Field Definition: A custom Einstein Discovery prescribable field definition to override default prescription text.
• Smart Data Discovery Customizable Field: An Einstein Discovery customizable field.
• Smart Data Discovery Feature Importance Metric: An importance metric for a Einstein Discovery model.
• Smart Data Discovery Field: An Einstein Discovery field.
• Smart Data Discovery Field Mapping: An Einstein Discovery field mapping.
• Smart Data Discovery Field Mapping Analytics Dataset Field: An Einstein Discovery field mapped from an analytics dataset source.
• Smart Data Discovery Field Mapping Mapped Field: A mapped field in a field mapping.
• Smart Data Discovery Field Mapping Salesforce Field: An Einstein Discovery field mapped from a Salesforce field source.
• Smart Data Discovery Filter: An Einstein Discovery filter used to select a model.
• Smart Data Discovery Filter List: A list of record filter conditions.
• Smart Data Discovery Filter Value: The value used in an Einstein Discovery filter.
• Smart Data Discovery Impute Strategy: The impute strategy.
• Smart Data Discovery Insight: An insight for an Einstein Discovery analysis.
• Smart Data Discovery Live Metric Detail: A live AI Einstein Discovery metric.
• Smart Data Discovery Live Metrics: The categorized live AI Einstein Discovery metrics.
• Smart Data Discovery Metrics Collection: A collection of Einstein Discovery metrics.
• Smart Data Discovery Model: An Einstein Discovery model.
• Smart Data Discovery Model Card: An Einstein Discovery model card.
• Smart Data Discovery Prediction Definition Collection: A collection of Einstein Discovery prediction definitions.
• Smart Data Discovery Model Configuration: The configuration for an Einstein Discovery model.
• Smart Data Discovery Model Field Date: An Einstein Discovery date model field.
• Smart Data Discovery Model Field Numeric: An Einstein Discovery numeric model field.
• Smart Data Discovery Model Field Text: An Einstein Discovery text model field.
• Smart Data Discovery Multiclass Predict: An Einstein Discovery multiclass predict result.
• Smart Data Discovery Narrative Details: The textual narrative data for an Einstein Discovery story.
• Smart Data Discovery Narrative Field: A single row of narrative data for an Einstein Discovery story.
• Smart Data Discovery Narrative Field Collection: A collection of narrative data for an Einstein Discovery story.
• Smart Data Discovery Narrative Post Body: A single row of narrative data for an Einstein Discovery story.
• Smart Data Discovery Narrative Post Body Filter: A query filter for narrative data of an Einstein Discovery story.
• Smart Data Discovery Narrative Post Body Insight: The narrative insight metadata.
• Smart Data Discovery Narrative Post Body Query: A query for narrative data of an Einstein Discovery story.
• Smart Data Discovery Numeric Range: A numeric range for a field.
• Smart Data Discovery Numerical Projected Prediction: An Einstein Discovery numerical projected prediction.
• Smart Data Discovery Outcome: The analysis outcome for an Einstein Discovery story.
• Smart Data Discovery Prediction Definition Outcome Field: An Einstein Discovery prediction definition outcome field.
• Smart Data Discovery Predict: An Einstein Discovery predict result.
• Smart Data Discovery Predict Column: A column given from an Einstein Discovery prediction.
• Smart Data Discovery Predict Column Custom Text: The custom text for a predict column given by the Einstein Discovery prediction.
• Smart Data Discovery Predict Condition: An Einstein Discovery predict condition.
• Smart Data Discovery Predict Error: An Einstein Discovery predict error result.
• Smart Data Discovery Import Warnings: The import warnings for an Einstein Discovery prediction.
• Smart Data Discovery Predict Job: An Einstein Discovery predict job.
• Smart Data Discovery Predict Job Collection: A collection of Einstein Discovery predict jobs.
• Smart Data Discovery Predict List: A list of Einstein Discovery predictions.
• Smart Data Discovery Predict Settings: The settings for an Einstein Discovery prediction.
• Smart Data Discovery Prediction: An Einstein Discovery prediction result.
• Smart Data Discovery Prediction Definition: An Einstein Discovery prediction definition.
• Smart Data Discovery Prediction Definition Collection: A collection of Einstein Discovery prediction definitions.
• Smart Data Discovery Prediction Error: An Einstein Discovery prediction error.
• Smart Data Discovery Prescribable Field: An Einstein Discovery prescribable field.
• Smart Data Discovery Projected Prediction Field: An Einstein Discovery projected prediction field.
• Smart Data Discovery Projected Prediction Settings: The settings for projected prediction fields.
• Smart Data Discovery Projected Predictions: The projected predictions for an Einstein Discovery prediction result.
• Smart Data Discovery Projected Predictions Override: The settings for an Einstein Discovery projected predictions override.
• Smart Data Discovery Projected Value: An Einstein Discovery projected value.
• Smart Data Discovery Pushback Field: A pushback field for an Einstein Discovery prediction.
• Smart Data Discovery Recipient: An Einstein Discovery recipient.
• Smart Data Discovery Refresh Config: The refresh configuration for an Einstein Discovery prediction.
• Smart Data Discovery Refresh Job: An Einstein Discovery refresh job.
• Smart Data Discovery Refresh Job Collection: A collection of Einstein Discovery refresh jobs.
• Smart Data Discovery Refresh Task: An Einstein Discovery refresh task.
• Smart Data Discovery Refresh Task Collection: A collection of Einstein Discovery refresh task.
• Smart Data Discovery Refresh Task Source: The source for an Einstein Discovery refresh task.
• Smart Data Discovery Training Metrics: A collection of Einstein Discovery metrics from training a model.
• Smart Data Discovery User: An Einstein Discovery user.
• Story: An Einstein Discovery story.
• Story All Other Field Value: The story data property for all other values in a field.
• Story Chart: A story chart.
• Story Chart Value: A value in a story chart.
• Story Chart Value Detail: The detail for a value in a story chart.
• Story Collection: A collection of Einstein Discovery stories.
• Story Count Insights Case: A count story insights case.
• Story Day Field Value: The story data day property.
• Story Day of Week Field Value: The story data day of week property.
• Story Descriptive Insights Case: A descriptive story insights case.
• Story Details: The details for a story. These details are the top positive and negative factors contributing to story outcome.
• Story Diagnostic Insights Detail: The detail for story diagnostic insights.
• Story Field: The field value combination that contributed to the story outcome result.
• Story Field Correlation: The summary of each field in the dataset selected for story creation.
• Story Field Impact Detail: A story field impact details.
• Story Field Label Value Property: A story field.
• Story Field Only: The story data field property.
• Story First Order Insights: The first order insights for a story.
• Story Insights Detail: The insights detail for a story.
• Story Month Field Value: The story data month property.
• Story Month of Year Field Value: The story data month of year property.
• Story Narrative: A narrative for a story.
• Story Narrative Element Text: The text element for a story narrative.
• Story Null Field Value: The story data null property.
• Story Potential Bias: The potential bias for a story.
• Story Quarter Field Value: The story data quarter property.
• Story Quarter of Year Field Value: The story data quarter of year property.
• Story Query: A query for story insights.
• Story Query Diagnostic Insights: A story query diagnostic insights.
• Story Query Disparate Impact: A disparate impact for a story query.
• Story Query Disparate Impact Detail: The detail for a story query disparate impact.
• Story Query Input Parameter: The input parameter for a story query.
• Story Range Field Value: The story data range property.
• Story Second Order Insights: The second order insights for a story.
• Story Summary Detail: The summary detail for a story.
• Story Text Field Value: The story data text property.
• Story Version: An Einstein Discovery story version.
• Story Version Reference: The basic information for an Einstein Discovery story version.
• Story Year Field Value: The story data year property.
• Text Field Configuration: The text field configuration.
• Text Field Value Configuration: The text field value configuration.
• Validation Dataset: The output for a validation dataset configuration.
• Validation Ratio: The output for a validation ratio configuration.