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PiperOrigin-RevId: 359056487
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ModelSearch authored and hanna-maz committed Feb 23, 2021
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28 changes: 28 additions & 0 deletions CONTRIBUTING.md
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# How to Contribute

We'd love to accept your patches and contributions to this project. There are
just a few small guidelines you need to follow.

## Contributor License Agreement

Contributions to this project must be accompanied by a Contributor License
Agreement. You (or your employer) retain the copyright to your contribution;
this simply gives us permission to use and redistribute your contributions as
part of the project. Head over to <https://cla.developers.google.com/> to see
your current agreements on file or to sign a new one.

You generally only need to submit a CLA once, so if you've already submitted one
(even if it was for a different project), you probably don't need to do it
again.

## Code reviews

All submissions, including submissions by project members, require review. We
use GitHub pull requests for this purpose. Consult
[GitHub Help](https://help.github.com/articles/about-pull-requests/) for more
information on using pull requests.

## Community Guidelines

This project follows [Google's Open Source Community
Guidelines](https://opensource.google.com/conduct/).
2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -41,7 +41,7 @@ trainer = single_trainer.SingleTrainer(
label_index=0,
logits_dimension=2,
record_defaults=[0, 0, 0, 0],
filename="model_search/data/testdata/csv_random_data.csv")),
filename="model_search/data/testdata/csv_random_data.csv"),
spec=constants.DEFAULT_DNN)

trainer.try_models(
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4 changes: 0 additions & 4 deletions model_search/proto/phoenix_spec.proto
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// limitations under the License.

// A config proto for the Phoenix Neural Architectural Search algorithm.
// For more details please see:
// https://docs.google.com/document/d/1hm3xxEZFsotRN9NxFeH20IByauSVmjAXVmsYzB3EZ9s/edit?ts=5bda0380#heading=h.gkyy6lxd46xo

syntax = "proto2";

Expand Down Expand Up @@ -319,8 +317,6 @@ message PhoenixSpec {

// Task spec for the various tasks.
// Please keep empty if you have one task.
// For more details, please see:
// https://docs.google.com/document/d/1J1sUVRP23pijXc8zLwHcWZNt0bKNuPZdES0oyni1wIU/edit#
repeated TaskSpec multi_task_spec = 27;
// The most important task when using multi_task_spec.
// The loss / prediction of estimator are going to be set to this label.
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