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**Class: **ClassificationLinear

Classification edge for linear classification models

returns the classification edges for the trained linear classifier
`e`

= edge(`Mdl`

,`Tbl`

,`ResponseVarName`

)`Mdl`

using the predictor data in
`Tbl`

and the class labels in
`Tbl.ResponseVarName`

.

specifies options using one or more name-value pair arguments in addition to any
of the input argument combinations in previous syntaxes. For example, you can
specify that columns in the predictor data correspond to observations or supply
observation weights.`e`

= edge(___,`Name,Value`

)

By default, observation weights are prior class probabilities. If you supply weights using
`Weights`

, then the software normalizes them to sum to the prior
probabilities in the respective classes. The software uses the normalized weights to
estimate the weighted edge.