Hey all, newbie here.

I keep seeing posts which state that Numerai scores are based on the Spearman correlation coefficient. The comment in the example seems to agree with this. However, the same example and the documentation state that the correlation for scoring is calculated using:

```
ranked_preds = predictions.rank(pct=True, method="first")
return np.corrcoef(ranked_preds, targets)[0, 1]
```

which returns the Pearson’s correlation coefficient, according to numpy’s documentation.

Which is actually used by Numerai to evaluate correlation for scoring, Spearman’s or Pearson’s? Is ranking the predictions enough for `np.corrcoeff()`

to return the Spearman correlation?