calculateMultiClassMI: Calculate single mutual information score from multiclass...
In terminological/tidy-info-stats: Functions for manipulating information statistics
View source: R/tidyBinaryInfoStats.R
calculateMultiClassMI R Documentation
Calculate single mutual information score from multiclass groups in dplyr friendly manner.
Description
The purpose of this is to make it possible to calculate MI from tidy data. This is useful where you have a a data from that
represents a multi-class confusion matrix with unique combinations of inputs and probabilities for the co-occurrence and marginal probabilities
already calculated. Typically this will be generated by the probabilitiesFromCooccurrence function.
Usage
calculateMultiClassMI(df)
Arguments
df
a dataframe containing one observation per row & minimally p_x1y1, p_x1, p_y1 columns (see probabilitiesFromCounts / probabilitiesFromCooccurrence)
Value
the datatable with additional columns for MI
terminological/tidy-info-stats documentation built on Nov. 19, 2022, 11:23 p.m.
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View source: R/tidyBinaryInfoStats.R
| calculateMultiClassMI | R Documentation |
Calculate single mutual information score from multiclass groups in dplyr friendly manner.
Description
The purpose of this is to make it possible to calculate MI from tidy data. This is useful where you have a a data from that represents a multi-class confusion matrix with unique combinations of inputs and probabilities for the co-occurrence and marginal probabilities already calculated. Typically this will be generated by the probabilitiesFromCooccurrence function.
Usage
calculateMultiClassMI(df)
Arguments
df |
a dataframe containing one observation per row & minimally p_x1y1, p_x1, p_y1 columns (see probabilitiesFromCounts / probabilitiesFromCooccurrence) |
Value
the datatable with additional columns for MI
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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