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NDCG and Confusion Matrix Examples
Create a usage example on how these ranking metrics can be used:
+------------------------------------------------------------+-------------------------------------------------------------------------------+
| Python API | Description |
+============================================================+===============================================================================+
| `metriks.ndcg(y_true, y_prob, k)` | A score for measuring the quality of a set of ranked results. |
+------------------------------------------------------------+-------------------------------------------------------------------------------+
| `metriks.confusion_matrix_at_k(y_true, y_prob, k)` | Generates binary predictions from probabilities by evaluating the top k |
| | items (in ranked order by y_prob) as true. |
+------------------------------------------------------------+-------------------------------------------------------------------------------+
- Identify a dataset that can be used to train a ranking model
- Train a ranking model with the data
- Use the given metrics above and show results and demonstrate how these metrics can be used
Hi, I'm an attendee at the GHC 2020 and I'm interested in working on this issue.
I'm a GHC 2020 attendee and would like to contribute to this issue. Thanks!
I'm a GHC 2020 attendee and would like to contribute to this issue. Thanks!
Hi. I am a vGHC 2020 attendee too. I have created a slack channel named #opentrack-metriks-8. If you could join that channel, we could start working on it together!