AdaNet is a lightweight and scalable TensorFlow AutoML framework for training and deploying adaptive neural networks using the AdaNet algorithm [Cortes et al. ICML 2017]. AdaNet combines several learned subnetworks in order to mitigate the complexity inherent in designing effective neural networks.
This is not an official Google product.
To get you started:
adanet depends on bug fixes and enhancements not present in TensorFlow releases prior to 1.7. You must install or upgrade your TensorFlow package to at least 1.7:
shell$ pip install "tensorflow>=1.7.0"
To install from source first you'll need to install
bazel following their installation instructions.
cd into its root directory:
shell$ git clone https://github.com/tensorflow/adanet && cd adanet
adanet root directory run the tests:
shell$ cd adanet$ bazel test -c opt //...
Once you have verified that everything works well, install
adanet as a pip package .
You are now ready to experiment with
AdaNet is released under the Apache License 2.0.
git clone tensorflow-adanet_-_2018-11-01_14-43-27.bundle