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Tutorial on validation of historical features (#2277)
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* dqm tutorial in docs

Signed-off-by: pyalex <moskalenko.alexey@gmail.com>

* gh link

Signed-off-by: pyalex <moskalenko.alexey@gmail.com>

* cleanup

Signed-off-by: pyalex <moskalenko.alexey@gmail.com>

* typo

Signed-off-by: pyalex <moskalenko.alexey@gmail.com>
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pyalex authored Feb 3, 2022
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6 changes: 5 additions & 1 deletion docs/getting-started/concepts/dataset.md
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Expand Up @@ -43,4 +43,8 @@ Saved dataset can be later retrieved using `get_saved_dataset` method:
```python
dataset = store.get_saved_dataset('my_training_dataset')
dataset.to_df()
```
```

---

Check out our [tutorial on validating historical features](../../tutorials/validating-historical-features.md) to see how this concept can be applied in real-world use case.
2 changes: 2 additions & 0 deletions docs/tutorials/tutorials-overview.md
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Expand Up @@ -9,3 +9,5 @@ These Feast tutorials showcase how to use Feast to simplify end to end model tra
{% page-ref page="real-time-credit-scoring-on-aws.md" %}

{% page-ref page="driver-stats-using-snowflake.md" %}

{% page-ref page="validating-historical-features.md" %}
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