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feature-engineering

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nni
adchia
adchia commented Aug 4, 2021

Currently, for integration tests, we try to "recreate/reupdate" the same "ds" or "test_ingestion" dataset in BigQuery. This can cause issues though if e.g. the test runner isn't an admin privilege because in particular updating the timestamp of the table requires admin privileges.

See [test_offline_online_store_consistency.py](https://github.com/feast-dev/feast/blob/489a0f8e5f42861e55a030230039

evalml
Hyperactive

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
  • Updated Nov 29, 2020
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