metric_hamming_distance: Hamming distance

In EagerAI/tfaddons: Interface to 'TensorFlow SIG Addons'

Hamming distance

Description

Computes hamming distance.

Usage

metric_hamming_distance(actuals, predictions)

Arguments

actuals	actual value
predictions	predicted value

Details

Hamming distance is for comparing two binary strings. It is the number of bit positions in which two bits are different.

Value

hamming distance: float

Examples

## Not run: 

actuals = tf$constant(as.integer(c(1, 1, 0, 0, 1, 0, 1, 0, 0, 1)), dtype=tf$int32)
predictions = tf$constant(as.integer(c(1, 0, 0, 0, 1, 0, 0, 1, 0, 1)),dtype=tf$int32)
result = metric_hamming_distance(actuals, predictions)
paste('Hamming distance: ', result$numpy())


## End(Not run)

EagerAI/tfaddons documentation built on April 3, 2022, 11:42 p.m.