The normalised digest should exclude any fields or attributes irrelevant to the core contents of the object (e.g. timestamps, absolute location of the input files on disk etc). In theory then, this value should be constant for the same data regardless of the particular machine on which the digest is being computed.
ndigest(x, ...) # S3 method for neuronlistfh ndigest(x, ...) # S3 method for dotprops ndigest(x, absoluteVectors = TRUE, ...) # S3 method for neuron ndigest( x, fieldsToExclude = c("InputFileName", "CreatedAt", "NodeName", "InputFileStat", "InputFileMD5"), ... )
Object for which a normalised digest will be computed.
Additional arguments passed to methods and then on to
Whether to check only the absolute value of eigenvectors for equality (default TRUE, see details)
Character vector naming the neuron fields to exclude
A character string containing the digest of the supplied object
ndigest.neuronlistfh only considers the
df (metadata data.frame) when computing the hash value. See
neuronlistfh for the significance of these two fields.
ndigest.dotprops ignores any
attributes. It also converts tangent vectors to absolute values (when
absoluteVectors=TRUE) because the direction vectors are computed
using an eigenvector decomposition where the sign of the eigenvector is
essentially random and subject to small numerical instabilities. Therefore
it does not usually make sense to rely on the value of vect exactly.
ndigest.neuron ignores the following fields: