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============================= test session starts ============================= | |
platform win32 -- Python 2.7.9 -- pytest-2.5.1 | |
plugins: xdist, cov | |
collected 77 items | |
tests/integration/nupic/algorithms/extensive_temporal_memory_test.py ................ | |
tests/integration/nupic/algorithms/temporal_memory_performance_test.py . | |
tests/integration/nupic/algorithms/tp_likelihood_test.py *** Synapse consistency checking turned on for Cells4 *** | |
*** Synapse consistency checking turned on for Cells4 *** | |
*** Synapse consistency checking turned on for Cells4 *** |
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============================= test session starts ============================= | |
platform win32 -- Python 2.7.9 -- pytest-2.5.1 | |
plugins: xdist, cov | |
collected 854 items / 4 skipped | |
tests/unit/nupic/utils_test.py ...s.. | |
tests/unit/nupic/algorithms/anomaly_likelihood_jeff_test.py ...ss.. | |
tests/unit/nupic/algorithms/anomaly_likelihood_test.py .................... | |
tests/unit/nupic/algorithms/anomaly_test.py .............. | |
tests/unit/nupic/algorithms/cells4_test.py |
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testB11 | |
31c31 | |
< | # predicted => active columns (correct) | 21.8484848 | 1.8332707 | 16.0 | 25.0 | 2163.0 | | |
--- | |
> | # predicted => active columns (correct) | 21.8686869 | 1.812674 | 16.0 | 25.0 | 2165.0 | | |
33,34c33,34 | |
< | # unpredicted => active columns (bursting) | 0.8989899 | 1.123621 | 0.0 | 6.0 | 89.0 | | |
< | # predicted => active cells (correct) | 21.8484848 | 1.8332707 | 16.0 | 25.0 | 2163.0 | | |
--- |
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====================================================== | |
Test: __main__.ExtensiveTemporalMemoryTest.testB1 | |
Basic sequence learner. M=1, N=100, P=1. | |
====================================================== | |
+----------------------------------------------------------+-----------+--------------------+---------+---------+-----------+ | |
| Metric | mean | standard deviation | min | max | sum | | |
+----------------------------------------------------------+-----------+--------------------+---------+---------+-----------+ | |
| # active columns | 22.959596 | 1.3992725 | 21.0 | 25.0 | 2273.0 | |
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====================================================== | |
Test: __main__.TutorialTemporalMemoryTest.testEndlesslyRepeating | |
Endlessly repeating sequence of 2 elements | |
====================================================== | |
Initialized new TM with parameters: | |
{'activationThreshold': 1, | |
'cellsPerColumn': 4, | |
'columnDimensions': [6], |
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====================================================== | |
Test: __main__.TutorialTemporalMemoryTest.testEndlesslyRepeating | |
Endlessly repeating sequence of 2 elements | |
====================================================== | |
Initialized new TM with parameters: | |
{'activationThreshold': 1, | |
'cellsPerColumn': 4, | |
'columnDimensions': [6], |
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Test: Single sequence | |
TM: 0.162923s | |
TP: 3.071011s | |
TP10X2: 0.053333s | |
. | |
---------------------------------------------------------------------- | |
Ran 1 test in 3.490s | |
OK |
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====================================================== | |
Test: __main__.ExtensiveTemporalMemoryTest.testB1 | |
Basic sequence learner. M=1, N=100, P=1. | |
====================================================== | |
+----------------------------------------------------------+-----------+--------------------+---------+---------+-----------+ | |
| Metric | mean | standard deviation | min | max | sum | | |
+----------------------------------------------------------+-----------+--------------------+---------+---------+-----------+ | |
| # active columns | 22.959596 | 1.3992725 | 21.0 | 25.0 | 2273.0 | |
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Test: Single sequence | |
TM: 0.300838s | |
TP: 3.256973s | |
TP10X2: 0.051369s | |
. | |
---------------------------------------------------------------------- | |
Ran 1 test in 3.842s | |
OK |
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C:\Python27\python.exe "C:\Program Files (x86)\JetBrains\PyCharm Community Edition 3.4.1\helpers\pydev\pydevd.py" --multiproc --client 127.0.0.1 --port 50347 --file C:/github-Burt/nupic/examples/tp/hello_tp.py | |
pydev debugger: process 8148 is connecting | |
Connected to pydev debugger (build 135.1057) | |
This program shows how to access the Temporal Pooler directly by demonstrating | |
how to create a TP instance, train it with vectors, get predictions, and inspect | |
the state. | |
The code here runs a very simple version of sequence learning, with one |