ModelHistory: ModelHistory
In dennist2/MerlinV1: What the Package Does (One Line, Title Case)
Description
This function takes an aggregate dataset, the type of model ("TREE","GLM") and the number of days you'd like to predict backwards
Usage
1
ModelHistory(data, model, n, options)
Arguments
data
The aggregate dataset to be repeatedly split and re-trained on each day.
model
The type of model to run (a) "TREE" or (b) "GLM"
n
The number of days back you'd like to predict for.
options
(a) "NoTrial" returns OGstrWLtree, (b) "7Trials" returns strWLtree w/7 trials, (c) "sprWL" depending on model arguement either TREEsprWL or GLMsprWL, (d) "OGglm" returns ogGLM strWL.
dennist2/MerlinV1 documentation built on Dec. 11, 2019, 8:41 p.m.
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Description
This function takes an aggregate dataset, the type of model ("TREE","GLM") and the number of days you'd like to predict backwards
Usage
1 | ModelHistory(data, model, n, options)
|
Arguments
data |
The aggregate dataset to be repeatedly split and re-trained on each day. |
model |
The type of model to run (a) "TREE" or (b) "GLM" |
n |
The number of days back you'd like to predict for. |
options |
(a) "NoTrial" returns OGstrWLtree, (b) "7Trials" returns strWLtree w/7 trials, (c) "sprWL" depending on model arguement either TREEsprWL or GLMsprWL, (d) "OGglm" returns ogGLM strWL. |
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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