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Update documentation: Default objective-weights and negative weights #295

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wmodes opened this issue Aug 15, 2019 · 2 comments
Open

Update documentation: Default objective-weights and negative weights #295

wmodes opened this issue Aug 15, 2019 · 2 comments
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@wmodes
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wmodes commented Aug 15, 2019

The current documentation says

By supplying weights via the --objective-weights flag, the user can control the relative importance of each column in the data.

However, there is no mention what the default weights are. If you are only setting a single column, what scale should I use to match the default weights? 0 to 1? 0-5? 0-10? 0-100?

Having this explicit would be helpful.

Also, are negative weights possible? This can be used to reverse the meaning of certain measures. Where diff tends to group heterogeneous criteria, a negative weight for diff would group homogeneous criteria.

@wmodes
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wmodes commented Sep 29, 2019

Partial answer: Yes, negative weights are possible. In fact, I use an --objective-weights -10 with --objective-method diff to specify a homogeneous grouping of relative value 10.

However, this still needs to be documented.

@wmodes
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wmodes commented Feb 14, 2021

Checking in. I see the issue is assigned, but not responded.

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