v0.0.7

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)

v0.0.6

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.