Comments (2)
Tensor2Tensor's Travis setup could be a helpful reference. It avoids conflicts well with, e.g., any internal infrastructure.
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@dustinvtran: That's a great idea! Thanks for the tip. :)
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Related Issues (20)
- `input_fn` called multiple times in `Estimator.train` HOT 5
- relation to AutoML tables in GCP HOT 2
- Question regarding architecture HOT 3
- adanet.ensemble.Ensembler not used in Tutorials? HOT 5
- Adding different loss to tf.estimator.Head HOT 2
- Correct place to add custom metric_fn? HOT 3
- Early stopping 'best-practice' using Adanet
- Interpretation of serialized "architecture_summary" HOT 2
- simple_dnn should not work !
- [Bug] AutoEnsembleEstimator() cannot be instatiated if tf< 2.x HOT 1
- I am having errors and do not know what to do... HOT 1
- Evaluation issue using TPUEstimator HOT 2
- RuntimeError with adanet_tpu tutorial using TF2.2 and Adanet 0.9.0
- AttributeError: module 'adanet' has no attribute 'AutoEnsembleEstimator'
- Is there any code to compute FLOPs and parameter size of adanet?
- Error on running tutorial notebook in Google colab
- Using AdaNet ModelFlow with pre-trained models HOT 1
- Got `AttributeError: 'NoneType' object has no attribute 'logits'` error while applying tutorial
- Is this repository deprecated? HOT 1
- Design suggestions of _IterationBuilder._best_loss from adanet.core.iteration
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