evaluateIntercept: Evaluates the fitting score of a model object
In predomics/predomicspkg: Interpretable Prediction in Omics Data
evaluateIntercept R Documentation
Evaluates the fitting score of a model object
Description
Evaluates the fitting score of a model object.
Usage
evaluateIntercept(mod, X, y, clf)
Arguments
mod
: a model object
X:
the data matrix with variables in the rows and observations in the columns
y:
the response vector
clf:
the classifier parameter object
Value
a model object with the fitting score
predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.
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| evaluateIntercept | R Documentation |
Evaluates the fitting score of a model object
Description
Evaluates the fitting score of a model object.
Usage
evaluateIntercept(mod, X, y, clf)
Arguments
mod |
: a model object |
X: |
the data matrix with variables in the rows and observations in the columns |
y: |
the response vector |
clf: |
the classifier parameter object |
Value
a model object with the fitting score
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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