Model.aic_train

Model.aic_train(classifier, flag)

This command trains the parts present in labels and generates a binary file named <classifier_name>_<train_iteration>.aic containing all training information in the classifier folder. If new labels are added to a classifier or existing label is modified, machine learning model must be retrained to apply the changes.

Parameters:

• classifier (hwString) – The name of the classifier to be trained.

• flag (int) –

  0 - Log file generation disabled.

  1 - Log file generation enabled.

Example

Train the ShapeAICar classifier

import hm
import hm.entities as ent

model = hm.Model()

model.aic_train(classifier="ShapeAICar", flag=0)