loss_functions: Loss Function Definitions
In jeremyrcoyle/sl3: Pipelines for Machine Learning and Super Learning
loss_functions R Documentation
Loss Function Definitions
Description
Loss functions for use in evaluating learner fits.
Usage
loss_squared_error(pred, observed)
loss_loglik_true_cat(pred, observed)
loss_loglik_binomial(pred, observed)
loss_loglik_multinomial(pred, observed)
loss_squared_error_multivariate(pred, observed)
Arguments
pred
A vector of predicted values
observed
A vector of observed values
Value
A vector of loss values
Note
Assumes predicted probabilities are "packed" into a single vector.
jeremyrcoyle/sl3 documentation built on April 30, 2024, 10:16 p.m.
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| loss_functions | R Documentation |
Loss Function Definitions
Description
Loss functions for use in evaluating learner fits.
Usage
loss_squared_error(pred, observed)
loss_loglik_true_cat(pred, observed)
loss_loglik_binomial(pred, observed)
loss_loglik_multinomial(pred, observed)
loss_squared_error_multivariate(pred, observed)
Arguments
pred |
A vector of predicted values |
observed |
A vector of observed values |
Value
A vector of loss values
Note
Assumes predicted probabilities are "packed" into a single vector.
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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