aiRcost: aiRcost
In jtlandis/aiR: Simple machine learning algorithm tools
Description
Usage
Arguments
Value
Description
Calculates the resulting cost of the network for a given dataset activation.
Usage
1
Arguments
data
takes in final activation level of a network.
classify
Factor vector of correct classifications corresponding to data observations.
class.levels
the levels of the classifier vector
Value
returns aiRcost object containing the following labels cost, dcost, obser.cost, total.cost, mean.cost
cost: cost per value,
dcost: differential cost per value,
obser.cost: cost per observation,
total.cost: batch total cost,
mean.cost: batch mean cost
jtlandis/aiR documentation built on Dec. 26, 2019, 3:35 a.m.
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Description Usage Arguments Value
Description
Calculates the resulting cost of the network for a given dataset activation.
Usage
1 |
Arguments
data |
takes in final activation level of a network. |
classify |
Factor vector of correct classifications corresponding to data observations. |
class.levels |
the levels of the classifier vector |
Value
returns aiRcost object containing the following labels cost, dcost, obser.cost, total.cost, mean.cost cost: cost per value, dcost: differential cost per value, obser.cost: cost per observation, total.cost: batch total cost, mean.cost: batch mean cost
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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