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The documentation says that word weights can be real-valued. Real numbers can be negative. This is convenient because outputs of models one could use for scoring often output log-likelihoods, which are negative numbers.
However, using negative weights results in a negative cost value, which, if minimized, maximizes the error:
If this is a mistake in the documentation, could we update the documentation to say "non-negative numbers"?
If not, could we update the documentation with the steps to be taken to avoid divergence with negative weights?
Cheers,
Toms
The text was updated successfully, but these errors were encountered:
The documentation says that word weights can be real-valued. Real numbers can be negative. This is convenient because outputs of models one could use for scoring often output log-likelihoods, which are negative numbers.
However, using negative weights results in a negative cost value, which, if minimized, maximizes the error:
Cheers,
Toms
The text was updated successfully, but these errors were encountered: