def __init__(self, model, stepsize=0.1, verbose=False, callback=None,
callbackargs=None,
callbackiteration=1):
self.verbose = verbose
self.model = model
self.stepsize = stepsize;
Trainer.__init__(self,callback,callbackargs,callbackiteration)
def __init__(self,
model,
onlineChunkSize=10000,
initialMu=1,
exponentAvgM=0.5,
qLearningRate=0.90,
numfeats=1,
numhidden=0,
numout=1,
verbose=False,
callback=None,
callbackargs=None,
callbackiteration=1):
"""Set up the initial stuff"""
self.verbose = verbose
self.model = model
self.exponentAvgM = exponentAvgM
self.qLearningRate = qLearningRate
self.maxMuVect = None
self.muVect = self.setupMu(onlineChunkSize, initialMu,
self.model.params.shape, numfeats,
numhidden, numout)
self.expAvgGrad = zeros(self.muVect.shape)
self.sqExpAvgGrad = ones(self.muVect.shape)
Trainer.__init__(self, callback, callbackargs, callbackiteration)
def __init__(self,model,momentum,stepsize,callback=None,
callbackargs=None,
callbackiteration=1):
self.model = model
self.momentum = momentum
self.stepsize = stepsize
self.inc = zeros(self.model.params.shape,dtype=float)
Trainer.__init__(self,callback,callbackargs,callbackiteration)
def __init__(self,
model,
cgiterations,
callback=None,
callbackargs=None,
callbackiteration=1):
self.model = model
self.cgiterations = cgiterations
Trainer.__init__(self, callback, callbackargs, callbackiteration)
def __init__(self,
model,
optiterations=10,
callback=None,
callbackargs=None,
callbackiteration=1):
self.model = model
self.optiterations = optiterations
Trainer.__init__(self, callback, callbackargs, callbackiteration)
def __init__(self,
model,
stepsize=0.1,
verbose=False,
callback=None,
callbackargs=None,
callbackiteration=1):
self.verbose = verbose
self.model = model
self.stepsize = stepsize
Trainer.__init__(self, callback, callbackargs, callbackiteration)
def __init__(self,
model,
momentum,
stepsize,
callback=None,
callbackargs=None,
callbackiteration=1):
self.model = model
self.momentum = momentum
self.stepsize = stepsize
self.inc = zeros(self.model.params.shape, dtype=float)
Trainer.__init__(self, callback, callbackargs, callbackiteration)
def __init__(self, model, onlineChunkSize=10000, initialMu=1, exponentAvgM=0.5, qLearningRate=0.90,
numfeats=1, numhidden=0, numout=1,
verbose=False, callback=None, callbackargs=None, callbackiteration=1):
"""Set up the initial stuff"""
self.verbose = verbose;
self.model = model;
self.exponentAvgM = exponentAvgM;
self.qLearningRate = qLearningRate;
self.maxMuVect = None
self.muVect = self.setupMu(onlineChunkSize, initialMu, self.model.params.shape, numfeats, numhidden, numout)
self.expAvgGrad = zeros(self.muVect.shape);
self.sqExpAvgGrad = ones(self.muVect.shape);
Trainer.__init__(self, callback, callbackargs, callbackiteration);
def __init__(self,model,cgiterations,callback=None,
callbackargs=None,
callbackiteration=1):
self.model = model
self.cgiterations = cgiterations
Trainer.__init__(self,callback,callbackargs,callbackiteration)
def __init__(self,model,optiterations=10,callback=None,
callbackargs=None,
callbackiteration=1):
self.model = model
self.optiterations = optiterations
Trainer.__init__(self,callback,callbackargs,callbackiteration)