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  1. Components & Data
  2. Flows
  3. Node Reference
  4. Models

ML Predict

Takes feature inputs and runs against a trained ML model in the form of a pickle file and returns predictive outputs.

Inputs

Name
Type
Description

modelUrl

string

URL of the trained model in the form of a pickle file that is to be used for the prediction.

confidenceInterval

number

confidence interval to use when calculating the lower and upper confidence from the prediction output.

input

string

the array of scaled features to be sent to the predictive model in the length it was trained with.

output

string

the property to write the prediction with confidence output to.

Outputs

  1. Action output

Name
Type
Description

predictionobject

object

the prediction output with mean, min, max, lowerConfidence, and upperConfidence.

PreviousModelsNextNetwork

Last updated 10 months ago

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