0.1.8

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.

0.1.7

Features

• Add more of characters to the non-recommended list of feature name
  characters.
• Make the inference op multi-thread compatible.
• Print an explicit error and some instructions when training a model with a
  Pandas dataframe.
• pd_dataframe_to_tf_dataset can automatically rename feature to make them
  compatible with SavedModel export signatures.
• model.save(...) can override an existing model.
• The link function of GBT model can be removed. For example, a binary
  classification GBT model trained with apply_link_function=False will output
  logits.

0.1.6

Features

• Add hyper-parameter sorting_strategy to disable the computation of the
  pre-sorted index (slower to train, but consumes less memory).
• Format wrapper code for colab help display.
• Raises an error when a feature name is not compatible (e.g. contains a space).

0.1.5

Features

• Raise an error of the number of classes is greater than 100 (can be disabled).
• Raise an error if the model's task does not match the pd_dataframe_to_tf_dataset's task.

Bug fix

• Fix failure when input feature contains commas.

0.1.4

Features

• Stop the training when interrupting a colab cell / typing ctrl-c.
• model.fit support training callbacks and a validation dataset.

Bug fix

• Fix failure when there are not input features.

0.1.2

Features

• Inference engines: QuickScorer Extended and Pred

0.1.0

Release 0.1.0 (2021-05-11)

Initial Release of TensorFlow Decision Forests.

Features

• Random Forest learner.
• Gradient Boosted Tree learner.
• CART learner.
• Model inspector: Inspect the internal model structure.
• Model plotter: Plot decision trees.
• Model builder: Create model "by hand".