zio.elasticsearch.ml.put_trained_model_vocabulary.PutTrainedModelVocabularyRequest.scala Maven / Gradle / Ivy
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/*
* Copyright 2019-2023 Alberto Paro
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package zio.elasticsearch.ml.put_trained_model_vocabulary
import zio._
import zio.elasticsearch.common._
import zio.elasticsearch.ml.requests.PutTrainedModelVocabularyRequestBody
/*
* Creates a trained model vocabulary
* For more info refers to https://www.elastic.co/guide/en/elasticsearch/reference/current/put-trained-model-vocabulary.html
*
* @param modelId The ID of the trained model for this vocabulary
* @param body body the body of the call
* @param errorTrace When set to `true` Elasticsearch will include the full stack trace of errors
* when they occur.
* @server_default false
* @param filterPath Comma-separated list of filters in dot notation which reduce the response
* returned by Elasticsearch.
* @param human When set to `true` will return statistics in a format suitable for humans.
* For example `"exists_time": "1h"` for humans and
* `"eixsts_time_in_millis": 3600000` for computers. When disabled the human
* readable values will be omitted. This makes sense for responses being consumed
* only by machines.
* @server_default false
* @param pretty If set to `true` the returned JSON will be "pretty-formatted". Only use
* this option for debugging only.
* @server_default false
*/
final case class PutTrainedModelVocabularyRequest(
modelId: String,
body: PutTrainedModelVocabularyRequestBody,
errorTrace: Boolean = false,
filterPath: Chunk[String] = Chunk.empty[String],
human: Boolean = false,
pretty: Boolean = false
) extends ActionRequest[PutTrainedModelVocabularyRequestBody]
with RequestBase {
def method: Method = Method.PUT
def urlPath: String =
this.makeUrl("_ml", "trained_models", modelId, "vocabulary")
def queryArgs: Map[String, String] = Map.empty[String, String]
// Custom Code On
// Custom Code Off
}