An S4 class to store models built during high-throughput learning
# S4 method for ExprsPipeline
show(object)# S4 method for ExprsPipeline,ANY,ANY,ANY
[(x, i, j)
# S4 method for ExprsPipeline
$(x, name)
# S4 method for ExprsPipeline
subset(x, subset, select)
# S4 method for ExprsPipeline
summary(object)
# S4 method for ExprsPipeline
getFeatures(object, index)
# S4 method for ExprsPipeline
getWeights(object, index, ...)
An object of class ExprsPipeline
.
Subsets entire ExprsPipeline
object via
object@summary[i, j]
. Returns object@summary[, j]
if
argument i
is missing.
Returns object@summary[, name]
.
Subsets entire ExprsPipeline
object via
object@summary[subset, ]
. Can be used to rearrange summary table.
Subsets entire ExprsPipeline
object via
object@summary[, select]
. Can be used to rearrange summary table.
A numeric scalar. The i-th model from which to retrieve features or weights. If missing, function will tabulate features or weights across all models.
For getWeights
, optional arguments passed to
glmnet::coef.cv.glmnet
.
show
: Method to show ExprsPipeline
object.
[
: Method to subset ExprsPipeline
object.
$
: Method to subset ExprsPipeline
object.
subset
: Method to subset ExprsPipeline
object.
summary
: Method to summarize ExprsPipeline
results.
getFeatures
: Method to return features within an ExprsPredict
model.
getWeights
: Method to return LASSO weights.
summary
Typically a data.frame. Stores the parameters and performances for the models.
machs
Typically a list. Stores the models
referenced in summary
slot.
ExprsArray-class
ExprsModel-class
ExprsPipeline-class
ExprsEnsemble-class
ExprsPredict-class
RegrsPredict-class