create_loss_func: Pick one of the loss functions from the package.
In JohnNay/eat: Empirical Agent Training Software for Data-Driven Modeling
Description
Usage
Arguments
Value
Examples
View source: R/loss_functions.R
Description
Pick one of the loss functions from the package.
Usage
1
create_loss_func(loss)
Arguments
loss
Character vector length one specifying which loss function you
want.
Value
Returns a function that has two arguments prediction (Numeric
vector same length as actual), and actual (Numeric vector same
length as prediction), and returns a Numeric vector length one.
Examples
1
create_loss_func("log_lik")
JohnNay/eat documentation built on May 7, 2019, noon
R Package Documentation
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Description Usage Arguments Value Examples
View source: R/loss_functions.R
Description
Pick one of the loss functions from the package.
Usage
1 | create_loss_func(loss)
|
Arguments
loss |
Character vector length one specifying which loss function you want. |
Value
Returns a function that has two arguments prediction (Numeric
vector same length as actual), and actual (Numeric vector same
length as prediction), and returns a Numeric vector length one.
Examples
1 | create_loss_func("log_lik")
|
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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