def testDecoding(self):
s = ScalarEncoder(1,1,3,n=3, name='idx', forced=True)
v = VectorEncoder(3, s, typeCastFn=float)
data=[1,2,3]
enc = v.encode(data)
#decode
dec = v.decode(enc)
print "decoded=", dec
res= v.getData(dec)
self.assertEqual(data, res, "Decoded data not equal to original")
def testEncoding(self):
s = ScalarEncoder(1,1,3,n=3, name='idx', forced=True)
v = VectorEncoder(3, s, typeCastFn=float)
data=[1,2,3]
print "data=", data
# encode
enc = v.encode(data)
print "encoded=", enc
correct = [1,0,0,0,1,0,0,0,1]
self.assertTrue((enc==correct).all(), "Did not encode correctly")
def testDecoding(self):
s = ScalarEncoder(1, 1, 3, n=3, name='idx')
v = VectorEncoder(3, s, typeCastFn=float)
data = [1, 2, 3]
print "data=", data
# encode
enc = v.encode(data)
print "encoded=", enc
correct = [1, 0, 0, 0, 1, 0, 0, 0, 1]
assert (enc == correct).all()
#decode
dec = v.decode(enc)
print "decoded=", dec
res = v.getData(dec)
assert data == res
def testDecoding(self):
s = ScalarEncoder(1,1,3,n=3, name='idx')
v = VectorEncoder(3, s, typeCastFn=float)
data=[1,2,3]
print "data=", data
# encode
enc = v.encode(data)
print "encoded=", enc
correct = [1,0,0,0,1,0,0,0,1]
assert (enc==correct).all()
#decode
dec = v.decode(enc)
print "decoded=", dec
res= v.getData(dec)
assert data==res
def __init__(self, length=5, feedbackDelay=0, minval=-5, maxval=5, resolution=1, scoreMin=0, scoreMax=100, scoreResolution=1, forced=False):
"""
initialize UtilityEncoder with default settings.
@param length size of the input vector
@param feedbackDelay integer >=0; used if you want to apply a score from the current state (T) to state in time T-1; default(0) means state(T) pairs with score(T)
@param minval minimal value of input data (from ScalarEncoder)
@param maxval max value input data can reach; eg for set of vectors {[0,0,1], [0,-1,0],[1,2,0]} it's -1 and 2
@param resolution resolution of the underliing scalar encoder
@param scoreMin
@param scoreMax same as minval, maxval but for the score
@param scoreResolution
@forced
"""
dataS = ScalarEncoder(21, minval, maxval, resolution=resolution, name='idx')
dataV = VectorEncoder(length, dataS, name='data')
scoreS = ScalarEncoder(21, scoreMin, scoreMax, resolution=scoreResolution, name='utility')
super(SimpleUtilityEncoder, self).__init__(dataV, scoreS, feedbackDelay=feedbackDelay, name='simpleUtility', forced=forced)
print "WARNING: feval not set! do not forget to def(ine) the function and set it with setEvaluationFn() "
def setUp(self):
self.data = [-1, 0, 10]
# encoder for score: 0..100, fine-grained to 0.5
self.scoreEnc = ScalarEncoder(3, 0, 100, resolution=0.5, name='score')
# encoder for the input (data) part
elem = ScalarEncoder(5, -5, 50, resolution=1)
self.dataEnc = VectorEncoder(len(self.data),
elem,
typeCastFn=float,
name='data')
# utility encoder
def sumAll(list):
return sum(list)
self.fn = sumAll
self.utilityEnc = UtilityEncoder(self.dataEnc,
self.scoreEnc,
feval=self.fn,
name='sum-er')
def testInitialization(self): e = VectorEncoder(3, ScalarEncoder(21, 0, 10, n=200), name="vec") self.assertIsInstance(e, VectorEncoder)
