Charles Weill

We are going for an API that is both familiar, but also flexible enough to define an search space of keras models. Here's an idea of the kind of API...

@atinsood: We don't currently have anything you can try out, since we're still coming up with a reasonable design. But keep an eye out, we'll be pushing some experimental code...

@shendiaomo: This is still a work in progress, but we are actively pursuing this direction. It's all very experimental at the moment, since we would like it to fit in...

@minimaxir, @shendiaomo: `adanet.experimental.ModelSearch` (a.k.a. `adanet.ModelFlow`) is @csvillalta's API for AutoML using Keras and TF 2. Please take a look at in under [adanet/experimental](https://github.com/tensorflow/adanet/blob/master/adanet/experimental/keras/model_search_test.py), and let us know what you think....

Try removing the `ReportMaterializer` from the Estimator constructor you are using. However I the NaN could be caused from several things. The most common is dividing by zero or applying...

If you don't mind building from HEAD on master, you can try the new `adanet.Estimator(debug=True)` parameter for finding NaNs in your datasets. It will be available in our upcoming `v0.6.0`...

@le-dawg We just released `adanet v0.9.0` which drops TF 1.* support. Could you please try upgrading adanet to the latest version?

You can try seeing this [StackOverflow post](https://stackoverflow.com/questions/42835809/how-to-export-estimator-model-with-export-savedmodel-function) for exporting a `SavedModel` for serving.

Hi @AnnMariaW, and welcome to the AdaNet community. Any kind of contribution is welcome from fixing mistakes in documentation and tutorials, to feature requests and bug fixes. Feel free to...

Which version of Bazel are you using? I've built with as low as v0.15.2. In the meantime, you can install the official [Pypi package](https://pypi.org/project/adanet/): `pip install adanet`