model data acquisition including search, selection and transfer.
model data preparation including data cleaning, labeling and conversion.
explicit model deployment to a target hosting infrastructure.
model design including problem framing, goal definition and algorithm selection.
refining a trained model to produce desired outputs for a given problem space.
generating an output response from a hosted model from a set of inputs.
a lifecycle activity type whose description does not match currently defined values (the default type).
model building, training and generalized tuning.
model validation including model output evaluation and testing.
An activity that is part of a machine learning model development or operational lifecycle.
Generated
from enum cyclonedx.v1_6.ModelCard.ModelCardConsiderations.EnergyConsumption.ActivityType