NLPをデプロイする方法：センチメント分析の例

docker run -it --rm elastic/eland \
    eland_import_hub_model \
      --url $ELASTICSEARCH_URL \
      --hub-model-id distilbert-base-uncased-finetuned-sst-2-english \
      --task-type text_classification \
      --start

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POST _ml/trained_models/distilbert-base-uncased-finetuned-sst-2-english/deployment/_infer
{
  "docs": [
    {
      "text_field": "The movie was awesome!"
    }
  ]
}

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{
  "predicted_value" : "POSITIVE",
  "prediction_probability" : 0.9998643924765398
}

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POST _ml/trained_models/distilbert-base-uncased-finetuned-sst-2-english/deployment/_infer
{
  "docs": [
    {
      "text_field": "The cat was sick on the bed"
    }
  ]
}

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{
  "predicted_value" : "NEGATIVE",
  "prediction_probability" : 0.9992468477843378
}

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PUT _ingest/pipeline/sentiment
{
  "processors": [
    {
      "inference": {
        "model_id": "distilbert-base-uncased-finetuned-sst-2-english",
        "field_map": {
          "review": "text_field"
        }
      }
    }
  ],
  "on_failure": [
    {
      "set": {
        "description": "Index document to 'failed-<index>'",
        "field": "_index",
        "value": "failed-{{{_index}}}"
      }
    },
    {
      "set": {
        "description": "Set error message",
        "field": "ingest.failure",
        "value": "{{_ingest.on_failure_message}}"
      }
    }
  ]
}

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POST _reindex?wait_for_completion=false
{
  "source": {
    "index": "yelp-reviews"
  },
  "dest": {
    "index": "yelp-reviews-with-sentiment",
    "pipeline": "sentiment"
  }
}

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The above returns a task id. We can monitor progress of the task with:

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{
    "review": "The food is good. Unfortunately the service is very hit or miss. The main issue seems to be with the kitchen, the waiters and waitresses are often very apologetic for the long waits and it's pretty obvious that some of them avoid the tables after taking the initial order to avoid hearing complaints.",
    "ml": {
        "inference": {
            "predicted_value": "NEGATIVE",
            "prediction_probability": 0.9985209630712552,
            "model_id": "distilbert-base-uncased-finetuned-sst-2-english"
        }
    },
    "timestamp": "2022-02-02T15:10:38.195345345Z"
}

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