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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
The text was updated successfully, but these errors were encountered:
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!
Create a usage example on how these ranking metrics can be used:
The text was updated successfully, but these errors were encountered: