validate_predictions: Assert that model predictions are sensible
In mdneuzerling/DrakeModelling: Using drake to Train and Execute a Model in a Custom Package
Description
Usage
Arguments
Value
View source: R/validate-predictions.R
Description
This function tests that model predictions make sense. It is intended to be
run after new data has been scored, but before it has been submitted. We
might ensure that outputs are sensible, within an expected range, or do not
contain sensitive data. Failed assertions will raise an error. Upon success,
the md5 hash of the predictions will be returned.
Usage
1
validate_predictions(predictions)
Arguments
predictions
A vector of model predictions
Value
The MD5 hash of the predictions
mdneuzerling/DrakeModelling documentation built on June 26, 2020, 1:25 p.m.
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Description Usage Arguments Value
View source: R/validate-predictions.R
Description
This function tests that model predictions make sense. It is intended to be run after new data has been scored, but before it has been submitted. We might ensure that outputs are sensible, within an expected range, or do not contain sensitive data. Failed assertions will raise an error. Upon success, the md5 hash of the predictions will be returned.
Usage
1 | validate_predictions(predictions)
|
Arguments
predictions |
A vector of model predictions |
Value
The MD5 hash of the predictions
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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