fit_models: Fit Brightness and Color Temperature Models
In fascinatingfingers/zeitgebeR: Machine Learning Enhancements for the Philips Hue Lighting System
Description
Usage
Arguments
Value
Description
After recording data and preparing a dataset with training_data(),
the fit_models function will fit two generalized linear models: one
to predict brightness for the given features, and the other to predict color
temperature.
Usage
1
fit_models(dta = training_data())
Arguments
dta
training dataset, like that returned by
training_data()
Value
Returns a named list with two models, one for brightness and one for
color temperature.
fascinatingfingers/zeitgebeR documentation built on Oct. 25, 2019, 4:50 p.m.
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Description Usage Arguments Value
Description
After recording data and preparing a dataset with training_data(),
the fit_models function will fit two generalized linear models: one
to predict brightness for the given features, and the other to predict color
temperature.
Usage
1 | fit_models(dta = training_data())
|
Arguments
dta |
training dataset, like that returned by
|
Value
Returns a named list with two models, one for brightness and one for color temperature.
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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