That has been the practice in Mahout so far. Generally, a higher level learner is used to adjust those parameters, but it is important for testing purposes to expose them.
On Sat, Oct 19, 2013 at 6:16 AM, Sushanth Bhat(MT2012147) < [email protected]> wrote: > Hi, > > We are implementing Multi-layer perceptron Neural networks using > back-propagation for Mahout. There are some parameters such as learning > rate, momentum, activation function, threshold error, number of layers, > number of neurons in hidden layers which are dependent upon the input data. > Are we suppose to make these parameters to be passed by user? > > > Thanks and regards, > Sushanth Bhat > IIIT-Bangalore >
