Create batch prediction dataset with predictions from multiple models

metadata.json

{
  "name": "Muti-model predictions",
  "kind": "script",
  "description": "Generate predictions for a fixed number of models",
  "source_code": "multibatch.whizzml",
  "inputs":[
    {
      "name": "model1",
      "type": "model-id",
      "description": "first model"
    },
    {
      "name": "model2",
      "type": "model-id",
      "description": "second model"
    },
    {
      "name": "model3",
      "type": "model-id",
      "description": "third model"
    },
    {
      "name": "model4",
      "type": "model-id",
      "description": "fourth model"
    },
    {
      "name": "model5",
      "type": "model-id",
      "description": "fith model"
    },
    {
      "name": "input-dataset",
      "type": "dataset-id",
      "description": "inputs used to create predictions"
    }],
  "outputs":[
    {
      "name": "result",
      "type": "dataset-id",
      "description": "output dataset with all predictions"
    }]
}

multibatch.whizzml

(define (batch-dataset id)
  ((fetch (wait id)) "output_dataset_resource"))

(define (make-batch ds-id mod-id)
  (let (mod (fetch mod-id)
        name (str "prediction from " (mod "name")))
    (create-batchprediction ds-id mod-id {"all_fields" true
                                          "output_dataset" true
                                          "prediction_name" name})))

(define (create-predictions models ds-id)
  (reduce (lambda (did mid) (batch-dataset (make-batch did mid))) ds-id models))

(define result (create-predictions [model1 model2 model3 model4 model5] input-dataset))