metric_hamming_distance: Hamming distance
In tfaddons: Interface to 'TensorFlow SIG Addons'

Description Usage Arguments Details Value Examples

Computes hamming distance.

1	metric_hamming_distance(actuals, predictions)

`actuals`	actual value
`predictions`	predicted value

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

hamming distance: float

## 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)