ML PREDICT INFO

Runs interactive inference against a previously trained ML model, presenting a slider-based UI when input/target/schema metadata are supplied. Accepts a serialized model file (.pkl or per-target CSV manifest) and a user-defined prediction dataset, then returns a dataset of predicted values — including curve-shaped outputs assembled from indexed prediction columns.

When to use

Tagged: curve-prediction, inference, info, interactive, lucy-ml, ml, per-target, pkl.

Inputs

Label ID Type Default Required Description
Model File mfile text Path, attachment ID, or mathmodel ID pointing to the serialized model artifact — accepts a single .pkl file, a comma-separated list of per-target .pkl paths, or a CSV manifest produced by ML_PREDICT_INFO; required.
Inputs inputs scalar   Comma-separated or structured list of input feature names as recorded during training; when wired from an ML_PREDICT_INFO worker it enables the interactive slider UI — leave empty if supplying a raw dataset directly.
Targets targets scalar   Comma-separated or structured list of target/response names as recorded during training; when wired from an ML_PREDICT_INFO worker it enables the interactive slider UI — leave empty if not needed.
Schema schema dataset   Dataset carrying the column schema (feature ranges, types, encoding metadata) captured at training time; when provided alongside inputs and targets, drives the slider UI for interactive prediction.
Inputs For Prediction dataset predict_interactive Tabular dataset of input rows for which predictions are requested; when inputs, targets, and schema are connected, an interactive slider is rendered to build this dataset — required.
Reference Dataset reference_dataset dataset   Optional original training dataset that contains raw curve columns; used to overlay ground-truth curves against predictions — leave unset if curve comparison is not needed.
Raw Column Name raw_column_name scalar   Column name in the training data that holds raw curve arrays; required only when the prediction target represents discrete curve points (e.g. force_curve) — leave empty for scalar targets.

Outputs

Label ID Type Description
Predictions dataset dataset Tabular dataset of model predictions keyed by the original row IDs; scalar targets appear as named columns and curve targets are assembled into CurveGroup objects from indexed <target>_<i>_pred columns.

Disciplines

  • ai_ml.supervised.classification
  • ai_ml.supervised.regression
  • ai_ml.surrogate

Auto-generated from platform schema. Worker id: ml_predict_interactive. Schema hash: fc07283e6b2c. Hand-curated docs in workerexamples/ override this page when present.