C |
Estimation of total correlation for a set of categorical random variables. |
categorical_sample_size |
Estimate the sample size for a variable in function of its categories. |
H |
Estimation of Shannon entropy for a categorical variable. |
IG |
Estimating information gain between two categorical variables. |
information_gain |
Estimating information gain between two categorical variables. |
joint_H |
Estimation of the Joint Shannon entropy for two categorical variables. |
joint_shannon_entropy |
Estimation of the Joint Shannon entropy for two categorical variables. |
msu |
Estimating Multivariate Symmetrical Uncertainty. |
multivar_joint_H |
Estimation of joint Shannon entropy for a set of categorical variables. |
multivar_joint_shannon_entropy |
Estimation of joint Shannon entropy for a set of categorical variables. |
new_informative_variable |
Create an informative uniform categorical random variable. |
new_variable |
Create a uniform categorical random variable. |
new_xor_variables |
Create a set of categorical variables using the logical XOR operator. |
rel_freq |
Relative frequency of values of a categorical variable. |
sample_size |
Estimate the sample size for a categorical variable. |
shannon_entropy |
Estimation of Shannon entropy for a categorical variable. |
SU |
Estimating Symmetrical Uncertainty of two categorical variables. |
symmetrical_uncertainty |
Estimating Symmetrical Uncertainty of two categorical variables. |
total_correlation |
Estimation of total correlation for a set of categorical random variables. |