ChanServ changed the topic of #mlpack to: "mlpack: a fast, flexible machine learning library :: We don't always respond instantly, but we will respond; please be patient :: Logs at
mscsirmaster has joined #mlpack
< mscsirmaster> hello
< mscsirmaster> would like to do a few questions, got an algorithm which compare two arrays based on a fixed distance which help us to detect which values are out of range, every failed value is added to a counter, after finish we calculate a percentage of how many data is wrong in an array, since there is two arrays, one is the processed array, and the right is the control array, but we can't find any method to implement this in MLPack
witness has joined #mlpack
vivekp has quit [Ping timeout: 268 seconds]
vivekp has joined #mlpack
pd09041999 has joined #mlpack
< zoq> mscsirmaste: double counter = arma::accu(A - B > max); where A and B is of type arma::vec?
pd09041999 has quit [Ping timeout: 250 seconds]
< davida> zoq: I was reading your code sample for the new recurrent test. You mentioned that RNN Train() now takes a field, but I see in your example that you are reshaping the inputs and labels to cubes and training one sample at a time rather than using a field as an input. Am I understanding this correctly?
vivekp has quit [Ping timeout: 250 seconds]
vivekp has joined #mlpack
robertohueso has quit [Read error: Connection reset by peer]
< jenkins-mlpack2> Project docker mlpack nightly build build #138: STILL UNSTABLE in 8 hr 48 min:
travis-ci has joined #mlpack
< travis-ci> mlpack/ensmallen#32 (ensmallen-1.11.1 - 830326a : Ryan Curtin): The build passed.
< travis-ci> Change view :^...830326a21821
travis-ci has left #mlpack []
robertohueso has joined #mlpack
< zoq> davida: Right, once the patch is ready the RNN will support arma::filed as input, but internally it's bascially the same.
< davida> zoq: so for inputs, I need to setup a field containing 'm' cubes where each cube represents 1 sample? Meaning the 'k' order of the cube should always be 1?
< davida> Sorry - the 'j' dimension (assuming cube(i,j,k)
< davida> 'j' dimension = 1
< zoq> right
cjlcarvalho has joined #mlpack
cjlcarvalho has quit [Client Quit]