BigML × Ambacti

Bring BigML into
the flow of work.

A little less busywork with BigML.

Roman aqueduct developing from a precise architectural drawing into marble.
Gather contextDo the workReview & share
Sources and datasets3 capabilities
  • Create a source from a data file
  • Create a dataset from a source
  • Retrieve, list, update, and delete sources and datasets
Models and predictions5 capabilities
  • Train a model from a dataset
  • Generate a prediction from model input values
  • Evaluate a model against a test dataset
  • Export model information as JSON or supported PMML
  • Produce local predictions using a trained model

Frequently asked
questions.

What could an Ambacti integration do with BigML?

The documented operations include Sources and datasets: Create a source from a data file; Sources and datasets: Create a dataset from a source; Sources and datasets: Retrieve, list, update, and delete sources and datasets; Models and predictions: Train a model from a dataset.

Could I keep a workflow read-only?

For a read-only workflow, limit account permissions to reading data and exclude actions that create, update, or delete records.

Will every action run automatically?

Choose which steps could run on their own and which should pause for review. Changes should follow the permissions and approval rules you set.

Do I need to review actions in BigML?

Decide which work could run on its own and which steps need your review.