Update Model
Retrain or update an existing Digital Twin with new data.
Updates an existing digital twin with new rows instead of retraining it from scratch.
The nightly counterpart of TrainModel: same twin, new data, a new version. Durable and long-running for the same reason.
At a glance
Module type
UpdateModel
Category
Intelligence
Default tier
durable
Runs on
reactive, durable
Starts a flow
no
Holds a body
no
Keeps state between runs
no
Available in
every application type
Parameters
digitalTwinId
string · required · defaults to ""
The twin to update.
digitalTwinName
string · optional
Its name when it was chosen, for the node's label.
digitalTwinVersionId
string · optional
The version this module last produced.
updateConfig
Record<string, unknown> · optional
Update options passed through to the pipeline.
Inputs
on
event
no
Implicit on every module that does not itself start a flow: wire an event here to make this module the start of what that event runs.
data
dataframe
yes
The rows to update with.
Outputs
model
json
json, scalar, signal
The twin version this run produced.
done
signal
signal
Fires once the update has committed.
Last updated