MRR Examples

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 how well you did at rank 1, rank 2, etc. |
+------------------------------------------------------------+-------------------------------------------------------------------------------+
| `metriks.label_mean_reciprocal_rank(y_true, y_prob)` | Determines the average rank each label was placed across samples. Only labels |
| | that are relevant in the true data set are considered in the calculation. |
+------------------------------------------------------------+-------------------------------------------------------------------------------+
```

1. Identify a dataset that can be used to train a ranking model
2. Train a ranking model with the data
3. Use the given metrics above and show results and demonstrate how these metrics can be used