Prediction Output

Output representation of the prediction request.

Properties

Property Name	Type	Description	Filter Group and Version	Available Version
`batchDatasource`	String	The batch data source name where batch-computed features are stored. Note: The batch data source name is null when the feature input used to generate predictions is real-time.	Small, 57.0	57.0
`classificationThreshold`	Double	The classification threshold value to derive the type of model to be used for prediction. If prediction score is higher/lower than this threshold, positive/negative prediction labels are displayed based on scorecard configuration.	Small, 55.0	55.0
`classificationType`	String	Specifies the classification model type. For example. Binary or ternary.	Small, 55.0	55.0
`executionModeWarning`	String	Indicates the change in execution mode from user specified to default mode configuration.	Small, 54.0	54.0
`featureExtractor`	String	The class name of the feature extractor implementation used for the prediction.	Small, 54.0	54.0
`featureExtractorIdentifier`	String	The API name of the feature extractor record.	Small, 57.0	57.0
`featureExtractorType`	String	The feature extractor type used for the prediction. Possible values are: `Apex` `Hybrid` `Java`	Small, 54.0	54.0
`featureInputType`	String	The type of feature input used in generating predictions. Possible values are: `Realtime_Input` `Sample_Input` `Batch_Input`	Small, 57.0	57.0
`inputType`	String	The type of input used to make the prediction.	Small, 55.0	55.0
`insightsSettings`	Map<String, Integer>	A map for configuring insight settings.	Small, 55.0	55.0
`modelFeatures`	Model Feature[]	Specifies additional details of the model feature, including name, label, and data type.	Small, 55.0	55.0
`outcomeGoal`	String	Indicates whether predDef maximizes or minimizes the field value.	Small, 55.0	55.0
`predictionDefinition`	String	The model developer name or API name used to make prediction.	Small, 55.0	55.0
`predictionDefinitionLabel`	String	The label corresponding to the model ID used for prediction.	Small, 55.0	55.0
`predictionPersistenceErrorMessage`	String	Indicates that an error occurred during persistence of prediction results or features.	Small, 54.0	54.0
`predictionPlatform`	String	The machine learning platform that is used to make the prediction for a use case.	Small, 55.0	55.0
`predictions`	Prediction Object[]	A list of prediction results.	Small, 55.0	55.0
`primaryResponseObjRecordIds`	String[]	Indicates the list of recordIds where the response is persisted in primary response object.	Small, 55.0	55.0
`requestId`	String	The unique identifier for the request to be generated and used for listening to notifications in the async mode of the execution.	Small, 55.0	55.0
`secondaryResponseObjRecordIds`	String[]	Indicates the list of recordIds where the response is persisted in secondary response object.	Small, 55.0	55.0
`status`	Status	Indicates whether the call succeeded or failed, and in case of failure, specifies the reason.	Small, 55.0	55.0

JSON Example

1{
2  "Prediction Purpose": "Use case Name Eg: Smart Selling Visit Recommendation",
3  "Prediction Platform": "Einstein Discovery / Einstein Platform (optional)",
4  "Prediction Definition": "PredictionDefinitionIdentifier",
5  "batchDatasource": “ApexSSVisitRecommendationsDataSource”,
6  "Input Type": "ExtractedRecordOverrides",
7  "featureInputType": "Sample_Input",
8  "Feature Extractor Type": "Hybrid",
9  "featureExtractorIdentifier": "ApexSSVisitRecommendationsExtractor",
10  "Feature Extractor": "SSVisitRecommendationsFeatureExtractorClass",
11  "Primary Response Obj RecordIds": [
12    "a00x0000000CHa0AAG",
13    "a00x0000000CHa0XXY"
14  ],
15  "Secondary Response Obj RecordIds": [
16    "a00x0000000CHa0PPS",
17    "a00x0000000CHa0QQW"
18  ],
19  "predictions": [
20    {
21      "model": {
22        "id": "1OtRM000000002b0AA"
23      },
24      "prediction": {
25        "score": 799315.4282959097,
26        "insights": [
27          {
28            "columns": [
29              {
30                "columnName": "Has Line Item",
31                "columnValue": "true"
32              }
33            ],
34            "value": 553763.66105859
35          }
36        ]
37      },
38      "status": "Success"
39    },
40    {
41      "model": {
42        "id": "1OtRM000000002b0AA"
43      },
44      "prediction": {
45        "score": 799315.4282959097,
46        "insights": [
47          {
48            "columns": [
49              {
50                "columnName": "Has Line Item",
51                "columnValue": "true"
52              }
53            ],
54            "value": 543763.66105859
55          }
56        ]
57      },
58      "status": "Success"
59    }
60  ],
61  "insightSettings": {
62    "maxPrescriptions": 0,
63    "maxInsights": 0
64  }
65}