Description Usage Arguments Value
Function to score model with added samples from an error distribution
1 | scoreProcess(model, isGLM, mult, totalCountSim, validationData, seed, chunkSize)
|
model |
model object to score against |
isGLM |
boolean of whether model is of class lm/glm |
mult |
number of samples from error distribution per record |
totalCountSim |
total number of incoming records |
validationData |
dataframe of validation data |
seed |
random seed |
chunkSize |
maximal size of incoming data chunk |
function taking data and scoring on it, sampling from error dist
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