loss_sum_of_squares: Loss Functions
In DALEX2: Descriptive mAchine Learning EXplanations
Description
Usage
Arguments
Value
Description
Loss functions that can be used for model comparions ane feature importance estimation
Usage
1
loss_sum_of_squares(observed, predicted)
Arguments
observed
true observed lables
predicted
scores predicted with a model
Value
numeric model fit assessment. The lower - the better is the model
DALEX2 documentation built on May 2, 2019, 1:19 p.m.
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.
Description Usage Arguments Value
Description
Loss functions that can be used for model comparions ane feature importance estimation
Usage
1 | loss_sum_of_squares(observed, predicted)
|
Arguments
observed |
true observed lables |
predicted |
scores predicted with a model |
Value
numeric model fit assessment. The lower - the better is the model
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.