fit_learningcurve: Generate descriptive summary for objects returned by...
In planningML: A Sample Size Calculator for Machine Learning Applications in Healthcare
View source: R/fit_learningcurve.R
fit_learningcurve R Documentation
Generate descriptive summary for objects returned by functions in EHRsampling
Description
Generate descriptive summary for objects returned by functions in EHRsampling.
Usage
fit_learningcurve(df, testX, target = NULL)
Arguments
df
data for learning curve fitting; first column is sample size, second column is AUC measurement.
testX
test data for prediction
target
target MCC/AUC that you want to achieve
Value
fit_learningcurve() returns the estimated power law model for the learning curve.
planningML documentation built on July 9, 2023, 5:27 p.m.
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View source: R/fit_learningcurve.R
| fit_learningcurve | R Documentation |
Generate descriptive summary for objects returned by functions in EHRsampling
Description
Generate descriptive summary for objects returned by functions in EHRsampling.
Usage
fit_learningcurve(df, testX, target = NULL)
Arguments
df |
data for learning curve fitting; first column is sample size, second column is AUC measurement. |
testX |
test data for prediction |
target |
target MCC/AUC that you want to achieve |
Value
fit_learningcurve() returns the estimated power law model for the learning curve.
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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