grid_probs: Function to compute predicted quantiles
In JOUSBoost: Implements Under/Oversampling for Probability Estimation
Description
Find predicted quantiles given classification results at different quantiles.
Usage
1
grid_probs(X, q, delta, median_loc)
Arguments
X
Matrix of class predictions, where each column gives the predictions
for a given quantile in q.
q
The quantiles for which the columns of X are predictions.
delta
The number of quantiles used.
median_loc
Location of median quantile (0-based indexing).
JOUSBoost documentation built on May 2, 2019, 6:03 a.m.
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Description
Find predicted quantiles given classification results at different quantiles.
Usage
1 | grid_probs(X, q, delta, median_loc)
|
Arguments
X |
Matrix of class predictions, where each column gives the predictions for a given quantile in q. |
q |
The quantiles for which the columns of X are predictions. |
delta |
The number of quantiles used. |
median_loc |
Location of median quantile (0-based indexing). |
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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