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Python package of commonly used metrics for evaluating information retrieval models.

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Contributed by vGHC 2020 Attendees, Here are their respective GitHub accounts with name:

- Jyotsna Priya: https://github.com/jyotsna-priya
 Deepthi Kailash: https://github.com/deepthikailash
 Menna Khaliel: https://github.com/Menna13
 Anshuma Jain: https://github.com/AnshumaJain


Please review this. This contains example ipynb for recall at k

#8 This is an example of training two ranking models with LighGBM and XGBoost using MSRank dataset and evaluating their perdition on test set with Metriks.

This project is built as part of the virtual Grace Hopper Celebration - Open Source Day 2020 #vGHC2020 #GraceHopperCelebration #ghcosd #OpenSourceDay20 Project: Intuit/Metrik Issue: 11 - Precision and Recall at...

Create a usage example on how these ranking metrics can be used: ``` +------------------------------------------------------------+-------------------------------------------------------------------------------+ | Python API | Description | +============================================================+===============================================================================+ | `metriks.mean_reciprocal_rank(y_true, y_prob)` | Gets a positional score on...

gracehopperOSD

Type annotations hints should be added to the method definitions as well as python docs. Use this as a reference: https://docs.python.org/3/library/typing.html

gracehopperOSD

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...

gracehopperOSD

Create a usage example on how these ranking metrics can be used: ```+------------------------------------------------------------+-------------------------------------------------------------------------------+ | Python API | Description | +============================================================+===============================================================================+ | `metriks.recall_at_k(y_true, y_prob, k)` | Calculates recall at k for...

gracehopperOSD