def testAutogrow(self):
"""testing auto-grow"""
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth,
w=bitsOn,
name="foo",
verbosity=2,
forced=True)
encoded = numpy.zeros(fieldWidth)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
s.encodeIntoArray("catA", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catA"), 1)
catA = encoded.copy()
s.encodeIntoArray("catB", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catB"), 2)
catB = encoded.copy()
self.assertEqual(s.topDownCompute(catA).value, "catA")
self.assertEqual(s.topDownCompute(catB).value, "catB")
s.encodeIntoArray(SENTINEL_VALUE_FOR_MISSING_DATA, encoded)
self.assertEqual(sum(encoded), 0)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
#Test Disabling Learning and autogrow
s.setLearning(False)
s.encodeIntoArray("catC", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catC"), 0)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
s.setLearning(True)
s.encodeIntoArray("catC", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catC"), 3)
self.assertEqual(s.topDownCompute(encoded).value, "catC")
def testAutogrow(self):
"""testing auto-grow"""
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth, w=bitsOn, name="foo", verbosity=2,
forced=True)
encoded = numpy.zeros(fieldWidth)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
s.encodeIntoArray("catA", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catA"), 1)
catA = encoded.copy()
s.encodeIntoArray("catB", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catB"), 2)
catB = encoded.copy()
self.assertEqual(s.topDownCompute(catA).value, "catA")
self.assertEqual(s.topDownCompute(catB).value, "catB")
s.encodeIntoArray(SENTINEL_VALUE_FOR_MISSING_DATA, encoded)
self.assertEqual(sum(encoded), 0)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
#Test Disabling Learning and autogrow
s.setLearning(False)
s.encodeIntoArray("catC", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catC"), 0)
self.assertEqual(s.topDownCompute(encoded).value, "<UNKNOWN>")
s.setLearning(True)
s.encodeIntoArray("catC", encoded)
self.assertEqual(encoded.sum(), bitsOn)
self.assertEqual(s.getScalars("catC"), 3)
self.assertEqual(s.topDownCompute(encoded).value, "catC")
def testAutogrow(self):
"""testing auto-grow"""
fieldWidth = 100
bitsOn = 10
s = SDRCategoryEncoder(n=fieldWidth, w=bitsOn, name="foo", verbosity=2)
encoded = numpy.zeros(fieldWidth)
assert s.topDownCompute(encoded).value == "<UNKNOWN>"
s.encodeIntoArray("catA", encoded)
assert encoded.sum() == bitsOn
assert s.getScalars('catA') == 1
catA = encoded.copy()
s.encodeIntoArray("catB", encoded)
assert encoded.sum() == bitsOn
assert s.getScalars('catB') == 2
catB = encoded.copy()
assert s.topDownCompute(catA).value == 'catA'
assert s.topDownCompute(catB).value == 'catB'
s.encodeIntoArray(SENTINEL_VALUE_FOR_MISSING_DATA, encoded)
assert sum(encoded) == 0
assert s.topDownCompute(encoded).value == "<UNKNOWN>"
#Test Disabling Learning and autogrow
s.setLearning(False)
s.encodeIntoArray("catC", encoded)
assert encoded.sum() == bitsOn
assert s.getScalars('catC') == 0
assert s.topDownCompute(encoded).value == "<UNKNOWN>"
s.setLearning(True)
s.encodeIntoArray("catC", encoded)
assert encoded.sum() == bitsOn
assert s.getScalars('catC') == 3
assert s.topDownCompute(encoded).value == "catC"
