nitroml
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google
NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.
import Nitroml giving error for the following files: from ml_metadata.google.services.mlmd_service.proto import mlmd_service_pb2 from ml_metadata.google.tfx import metadata_store from ml_metadata.proto import metadata_store_pb2 When i checked the details ml_metadata package does not have...
How can I use this benchmark suite? I'm working on AutoML https://github.com/mljar/mljar-supervised and would love to have a quick way to run tests. Does it integrate with GitHub Actions?
We need a way for TFDS to lazily download and prepare datasets, so that it only runs at pipeline execution time instead of during DAG construction time.
We need a way to run OSS tests before we make import to Piper. Kokoro should allow us to do so, similar to how TensorFlow Transform does it.