Create a trained model vocabulary Added in 8.0.0

PUT /_ml/trained_models/{model_id}/vocabulary

This API is supported only for natural language processing (NLP) models. The vocabulary is stored in the index as described in inference_config.*.vocabulary of the trained model definition.

Path parameters

  • model_id string Required

    The unique identifier of the trained model.

application/json

Body Required

  • vocabulary array[string] Required

    The model vocabulary, which must not be empty.

  • merges array[string]

    The optional model merges if required by the tokenizer.

  • scores array[number]

    The optional vocabulary value scores if required by the tokenizer.

Responses

  • 200 application/json
    Hide response attribute Show response attribute object
    • acknowledged boolean Required

      For a successful response, this value is always true. On failure, an exception is returned instead.
PUT /_ml/trained_models/{model_id}/vocabulary 
curl \
 -X PUT http://api.example.com/_ml/trained_models/{model_id}/vocabulary \
 -H "Content-Type: application/json" \
 -d '{"vocabulary":["string"],"merges":["string"],"scores":[42.0]}'
Request examples 
{
  "vocabulary": [
    "string"
  ],
  "merges": [
    "string"
  ],
  "scores": [
    42.0
  ]
}
Response examples (200) 
{
  "acknowledged": true
}