NEWS.md

In mlr-org/mlr3keras: mlr3 Keras extension

mlr3keras 0.1.3

Now works with keras > 2.3 and tensorflow > 2.3.

Generators

• Re-worked generators, now use a python implementation. This required re-designing generator constructors and so on.

Learners

• Shaped MLP 1 & 2 Learners for Regression and Classification
• mlr3keras can now deal with images via the new KerasCNN learner.
• Added a deep-wide architecture inspired by Ericson et al., 2020 AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data.

Bugfixes

• TabNet now defaults to num_layers = 1L for stack = TRUE.

mlr3keras 0.1.2

Learners

• TabNet and FeedForward can now deal with factor / ordered / character features
• FeedForward Keras Models now default to "embeddings" for factor features

mlr3keras 0.1.1

General

• KerasArchitecture: Introduced new abstraction for architectures. This should rarely be visible to users but makes stuff easier to extend.

Learners

• Add regression learner for a custom model
• Add regression learner for parametrized feedforward model
• Add stacked and unstacked tabnet classification and regression learner

mlr3keras 0.1.0

• Initial prototype.

mlr-org/mlr3keras documentation built on April 12, 2022, 11:35 a.m.