Autogluon

Changes

General

* Limited sklearn version to <0.23 to resolve import failure in skopt. (460)
* Limited catboost version to <0.24. (460)

Changes

General

* Fixed broken PyPi build failing to import in 0.0.7. (457)

Changes

General

* Updated dependency versions.

Tabular

* Added simplified argument preset options to tabular task.fit(). (453)
* Added options to significantly reduce disk usage by >10x during and after model training. (453)
* Added refit model support which dramatically reduces inference times. (408, 412)
* Added transform_features function to TabularPredictor. (431)
* Added transform_labels function to TabularPredictor. (435)
* Numerous improvements to text handling (440, 451)
* Improved memory stability and inference speed of tabular neural network. (422)
* Added NetworkX directed acyclic graph stack ensemble representation. (385, 403)
* Added linear model support (375)
* Improved leaderboard inference and fit time estimates. (385)
* Added info function to TabularPredictor. (444)
* Added .tsv file detection support. (396)
* Numerous code cleanup and bug fixes. (373, 374, 379, 387, 389, 400, 410, 443, 446, 452)

Image Classification

* Added auto augmentation for images (391)
* Bug fixes. (388, 402, 417, 436, 438)

Object Detection

* Added save() and load() functionality. (405)

Core

* Major refactoring of schedulers and searchers. (445)
* Bug fixes. (384, 386, 427)

Changes

General

* Updated dependency versions.

Tabular

* Added support for calculating feature importance on fitted TabularPredictor.
* Enabled string path input of datasets to TabularPredictor.
* Added option for user to specify model to predict with in TabularPredictor.
* Added support for relative paths to TabularPredictor, enabling users to move the models between directories and machines without introducing loading issues.
* Added support for moving models between machines of different operating systems.
* Numerous major bug fixes and improvements to hyperparameter tuning resulting in significantly more stable functionality.
* Numerous code cleanup.
* Numerous bug fixes.