Run predictions | Labric

curl -X POST https://platform.labric.co/api/v1/ml-models/predict \
     -H "Authorization: Bearer <api_key>" \
     -H "Content-Type: application/json" \
     -d '{
  "data": [
    {
      "cure_temperature_c": 180,
      "cure_time_min": 30,
      "primer_thickness_um": 25,
      "substrate_roughness_um": 1.2
    },
    {
      "cure_temperature_c": 140,
      "cure_time_min": 15,
      "primer_thickness_um": 10,
      "substrate_roughness_um": 0.4
    }
  ],
  "ml_model_name": "Coating adhesion classifier"
}'

{
  "predictions": [
    "pass",
    "fail"
  ],
  "model_id": "6b1e4c2a-9d3f-4a7b-8c5e-1f2a3b4c5d6e",
  "model_name": "Coating adhesion classifier",
  "probabilities": [
    {
      "fail": 0.09,
      "pass": 0.91
    },
    {
      "fail": 0.78,
      "pass": 0.22
    }
  ],
  "annotations": null
}

Run predictions with a trained ML model.

Identify the model by ml_model_id, or by ml_model_name (the name of a non-archived model). Each row in data maps the model’s feature columns to values — use the ml-models tool to discover models and the columns each expects. Returns one prediction per input row, plus per-class probabilities for classifiers.

Requires an API key with the read scope.

Run predictions with a trained ML model. Identify the model by ml_model_id, or by ml_model_name (the name of a non-archived model). Each row in data maps the model's feature columns to values -- use the ml-models tool to discover models and the columns each expects. Returns one prediction per input row, plus per-class probabilities for classifiers. Requires an API key with the `read` scope.

Authentication

AuthorizationBearer

Bearer authentication of the form Bearer <token>, where token is your auth token.

Request

This endpoint expects an object.

datalist of maps from strings to anyRequired

ml_model_idstring or nullOptionalformat: "uuid"

ml_model_namestring or nullOptional

Response

predictionslist of any

model_idstringformat: "uuid"

model_namestring

probabilitieslist of maps from strings to any or nullOptional

annotationslist of objects or nullOptional

Errors

400

Bad Request Error

401

Unauthorized Error

403

Forbidden Error

404

Not Found Error

422

Unprocessable Entity Error

429

Too Many Requests Error

500

Internal Server Error

502

Bad Gateway Error