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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.