huber_cond: Conditional for Huber Loss function
In tbonza/supml: "Algorithms for Supervised Machine Learning"
Description
Usage
Arguments
Value
Examples
Description
Determines which summation will be used
within the Huber Loss function. Meant for
use with sapply and
huber_loss.
Usage
1
huber_cond(i, delta)
Arguments
i
ith value of a one dimensional vector
delta
const parameter for determining conditional
Value
boolean vector for conditional statement
Examples
1
huber_cond(0, 0.01) == TRUE
tbonza/supml documentation built on May 17, 2019, 3:14 a.m.
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Description Usage Arguments Value Examples
Description
Determines which summation will be used
within the Huber Loss function. Meant for
use with sapply and
huber_loss.
Usage
1 | huber_cond(i, delta)
|
Arguments
i |
ith value of a one dimensional vector |
delta |
const parameter for determining conditional |
Value
boolean vector for conditional statement
Examples
1 | huber_cond(0, 0.01) == TRUE
|
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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