remove_invalid: Remove invalid predicted probabilities for scoring
In jarad/FluSight: Utility functions for the CDC FluSight competition
Description
Usage
Arguments
Value
See Also
Examples
View source: R/remove_invalid.R
Description
Sets invalid predictied probabilities (i.e. those summing to > 1.1 or < 0.9)
to zero. This function should be run prior to scoring an entry to ensure
no invalid probabilities are scored.
Usage
1
remove_invalid(entry)
Arguments
entry
An entry data.frame with columns location, target, type, unit,
bin_start_incl, bin_end_incl, and value.
Value
An entry data.frame with invalid probabilities all set to zero.
See Also
Examples
1
valid_entry <- remove_invald(full_entry)
jarad/FluSight documentation built on Oct. 24, 2020, 9:58 p.m.
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Description Usage Arguments Value See Also Examples
View source: R/remove_invalid.R
Description
Sets invalid predictied probabilities (i.e. those summing to > 1.1 or < 0.9) to zero. This function should be run prior to scoring an entry to ensure no invalid probabilities are scored.
Usage
1 | remove_invalid(entry)
|
Arguments
entry |
An entry data.frame with columns location, target, type, unit, bin_start_incl, bin_end_incl, and value. |
Value
An entry data.frame with invalid probabilities all set to zero.
See Also
Examples
1 | valid_entry <- remove_invald(full_entry)
|
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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