interactive_lr: Dashboard generation for logistic regression models
In alteryx/AlteryxPredictive: Utility functions used by the predictive tools in Alteryx
Description
Usage
Arguments
Value
Author(s)
Description
Dashboard generation for logistic regression models
Usage
1
interactive_lr(config, data, model, cv_metrics = NULL)
Arguments
config
list of configuration elements
data
dataframe
model
model object - should be one of
glm - with binomial family
glmnet
cv.glmnet
cv_metrics
metrics returned by runCrossValidationLogReg
Value
dashboard object for rendering
Author(s)
Todd Morley
alteryx/AlteryxPredictive documentation built on May 12, 2019, 1:37 a.m.
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Description Usage Arguments Value Author(s)
Description
Dashboard generation for logistic regression models
Usage
1 | interactive_lr(config, data, model, cv_metrics = NULL)
|
Arguments
config |
list of configuration elements |
data |
dataframe |
model |
model object - should be one of glm - with binomial family glmnet cv.glmnet |
cv_metrics |
metrics returned by runCrossValidationLogReg |
Value
dashboard object for rendering
Author(s)
Todd Morley
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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