EncoderStore - Global

concept brazil Updated Sep 10, 2026 3 min read EncoderStoreAPI.md
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The EncoderStore API provides methods to store and retrieve encoders.

This API requires the Predictive Intelligence plugin (com.glide.platform_ml) and is provided within the sn_ml namespace.

Parent Topic:Server API reference

EncoderStore - add(Object mlEncoder)

Adds a new encoder object to the store and returns a unique name.

Note: Label values do not need to be unique. For example, if you run this method with the same label 10 times, this method adds 10 different uniquely-named objects to the store.

Name Type Description
mlEncoder Encoder Encoder() object to add to the store.
Type Description
String System-generated solution name.

The following example shows how to add an encoder to the store. Use Encoder - submitTrainingJob() to run the training job after adding it to the store.

JavaScript
// Create a dataset var myData = new sn_ml.DatasetDefinition({
  'tableName' : 'incident',  'fieldNames' : ['assignment_group', 'short_description', 'description'],  'encodedQuery' : 'activeANYTHING'
});
// Create a solution var myEncoder = new sn_ml.Encoder({
  'label': "my encoder definition",  'datasets' : [myData],  'predictedFieldName' : 'assignment_group',  'inputFieldNames':['short_description']
});
// Add the encoder to the store to later be able to retrieve it.var my_unique_name = sn_ml.EncoderStore.add(myEncoder);

EncoderStore - deleteObject(String name)

Removes a specified encoder object from the store.

Name Type Description
name String Name of the Encoder() object to be deleted.
Type Description
None

The following example shows how to delete an encoder from the store.

JavaScript
sn_ml.EncoderStore.deleteObject("ml_sn_global_global_encoder");

EncoderStore - get(String name)

Gets an encoder object from a store.

Name Type Description
name String Name of an encoder in a store.
Type Description
Object Encoder object. Returns an error if the object does not exist.

The following example shows how to get an encoder object from the store using the get() method and view its training status using the Encoder - getActiveVersion() and EncoderVersion - getStatus() methods.

JavaScript
// Get statusvar myEncoder = sn_ml.EncoderStore.get('ml_incident_categorization');
gs.print(JSON.stringify(JSON.parse(myEncoder.getActiveVersion().getStatus(), null, 2)));

Output:

JSON
{ "state":"solution_complete", "percentComplete":"100", "hasJobEnded":"true"}

EncoderStore - getAllNames(Object options)

Gets the names of all encoder definition records in the store.

Name

Type

Description

options

Object

Options for restricting results within the specified properties.``` { "label": "String", "domainName": "String", "scope": "String" };

Text
</td></tr><tr><td>
options.label
</td><td>
String
</td><td>
Optional. Label of your solution object.
</td></tr><tr><td>
options.domainName
</td><td>
String
</td><td>
Optional. Name of the domain for your solution object. Refer to [Domain separation and Predictive Intelligence](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/intelligent-experiences/domain-separation-predictive-intelligence.md).
</td></tr><tr><td>
options.scope
</td><td>
String
</td><td>
Optional. Name of an [application scope](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/application-development/c_ApplicationScope.md) for your solution object.
</td></tr></tbody></table>|Type|Description||----|-----------||Array|List of strings representing encoder object names in the store.|
In the following example, the getAllNames\(\) method returns a list of all names in the store.

gs.print(JSON.stringify(JSON.parse(sn_ml.EncoderStore.getAllNames()), null, 2));

Text
Output:

[ "ml_x_snc_global_global_classification_word_corpus", "ml_x_snc_global_global_predictability_estimate", "GloVe", "ml_x_snc_global_global_encoder", "ml_x_snc_global_global_predictability_estimate_1" ]

SQL
In the following example, the getAllNames\(\) method returns only names associated with values set in the **options** parameter.

var options = { 'label' : 'my encoder definition', 'domainName' : 'global', 'scope' : 'global' }; var solNames = sn_ml.EncoderStore.getAllNames(options); gs.print(JSON.stringify(JSON.parse(solNames), null, 2));

Text
Output:

[ "ml_x_snc_global_global_my_encoder_definition" ]

Text
## EncoderStore - update\(String name, Object mlEncoder\)
Updates an encoder object in a store.
|Name|Type|Description||----|----|-----------||name|String|Name of the encoder to update.||mlEncoder|[Encoder](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/api-reference/server-api-reference/EncoderAPI.md)|[Encoder\(\)](https://raw.githubusercontent.com/ServiceNow/ServiceNowDocs/brazil/markdown/api-reference/server-api-reference/EncoderAPI.md) object properties to update.|
|Type|Description||----|-----------||None| |
The following example shows how to update an encoder object in the store.

var encoderUpdate = new sn_ml.Encoder({ 'label': 'my encoder definition', 'dataset' : myData, 'predictedFieldName' : 'assignment_group', 'inputFieldNames': ['short_description'] });

sn_ml.EncoderStore.update('ml_sn_global_global_incident_service', encoderUpdate);

Text
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