sparseVecToModel: sparseVecToModel
In predomics/predomicspkg: Interpretable Prediction in Omics Data
sparseVecToModel R Documentation
sparseVecToModel
Description
Builds a model object based on model that is in the sparse (short) format.
Usage
sparseVecToModel(X, y, v, clf, eval.all = FALSE, obj = NULL)
Arguments
X:
dataset
y:
labels
v:
A vector of indexes (example v=c(1,11))
clf:
classifier information
eval.all:
Should the model be evaluated (default:FALSE)
obj:
an object model to add to the model (default:NULL)
Value
an model object
predomics/predomicspkg documentation built on Dec. 11, 2024, 11:06 a.m.
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| sparseVecToModel | R Documentation |
sparseVecToModel
Description
Builds a model object based on model that is in the sparse (short) format.
Usage
sparseVecToModel(X, y, v, clf, eval.all = FALSE, obj = NULL)
Arguments
X: |
dataset |
y: |
labels |
v: |
A vector of indexes (example v=c(1,11)) |
clf: |
classifier information |
eval.all: |
Should the model be evaluated (default:FALSE) |
obj: |
an object model to add to the model (default:NULL) |
Value
an model object
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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