Features

• Model can be composed with the functional Keras API before being trained.
• Makes all the Yggdrasil structural variable importances available.
• Makes getting the variable importance instantaneous.
• Surface the name argument in the model classes constructors.
• Add a postprocessing model constructor argument to easy apply post-processing on the model predictions without relying on the Keras Functional API.
• Add extract_all_trees method in the model inspector to efficiently exact all the trees.
• Add num_threads constructor argument to control the number of training threads without using the advanced configuration.
• By default, remove the temporary directory used to train the model when the model python object is garbage collected.
• Add the import_dataspec constructor argument to the model builder to import the feature definition and dictionaries (instead of relying on automatic discovery).

Changes

• When saving a model in a directory already containing a model, only the assets directory is entirely removed before the export (instead of the entire model directory).

Fixes

• Wrong label shape in the model inspector's objective field for pre-integerized labels.