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This repository has been archived by the owner on Sep 1, 2023. It is now read-only.

0.5.5

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@rhyolight rhyolight released this 17 Aug 20:08
· 686 commits to master since this release
  • Renamed a misclassed class name from ConnectionsTest to GroupByTest
  • not _ is => is not and fixes groupby comment and passes integration tests
  • overhaul to groupby, now 10% faster than current implementation
  • NUP-2299 Install specific versions of pip, setuptools, and wheel.
  • NUP-2299 Added platform-conditional dependency on pycapnp==0.5.8 using PEP-508.
  • lazy group_by and changes to GroupByGenerator
  • perf improvement to segment comparison in compute activity
  • 100 % increase in spped
  • small perf changes
  • demonstrate that compatability test works with predictedSegmentDec not 0.0
  • fixes subtle bug in numSegments that caused integration tests to fail
  • fixes bug where minIdx could be passed as a float rather than an int
  • skip serialization test if capnp is not installed
  • lints and updates comments in group_by.py and group_by_tests.py
  • gets same results as c++ temporal memory after group_by changes
  • ports group_by tests and they pass
  • adds groupByN utility function for use in TM
  • all connections tests written and passing, moved some stuff around and added missing function to connections
  • started porting new connections tests and minor changes to connections.py
  • improves permanence >= testing in computeActivity
  • confirmed python implementation is same as cpp version. Needs better perf now
  • adds back AnomalyRegion and Anomaly class in anomaly.py and related tests
  • fixes bug in growSynapses, almost exactly the same
  • Updated core SHA and default SDR classifier implementation
  • Updated SDRClassifier factory and region to handle cpp
  • changed input name from value to metricValue
  • updates variables names in anomaly_likelihood.py and AnomalyLikelihoodRegion
  • adds new connections methods
  • create new methods for creating/destroying synapses/segments
  • continues change of connections datastructures
  • move raw anomaly calculation back to nupic.algorithms.anomaly
  • Finished swarming/hypersearch separation
  • Moved base hypersearch classes to hypersearch
  • Moved experimentutils to nupic.swarming
  • Updated SDR classifier internals
  • calculate raw anomly score in KNNAnomalyClassifier
  • removes anomaly.py dependency in network_api_demo.py
  • changes how TPRegion computes prevPredictdColumns and updates clamodel
  • Install pip from local copy, other simplifications
  • Fixup PYTHONPATH to properly include previously-defined PYTHONPATH
  • adds pseudocode to core functions
  • continues implementation of AnomalyLikelihoodRegion
  • Limit tests to unit after ovverriding pytest args on cli
  • DEVOPS-85 OS X build infrastructure for Bamboo CI environment
  • replaces segmentCMP with lambda and updates docstrings
  • uses arrays instead of dicts in computeActivity
  • Corrections to examples in tm_high_order.py
  • incorporates binary search into the algorithm where applicable
  • remove outdated nab unit tests
  • use Q function
  • Corrections to examples in tm_high_order.py
  • change to column generator
  • Added tm_high_order.py to show examples of the temporal memory.
  • Fixed conversion bug in SDRClassifier serialization
  • Fixed patternNZ proto writing.
  • Slight fix for pattern history handling in sdr classifier
  • Small fix on SDR classifier
  • Better fix for #3172, using the initialize() function and checking if _sdrClassifier is set
  • Updated learning rate for SDR classifier + slight changes to the error ranges in OPF test
  • Updated hotgym test with actual value and implemented first fix for OPF test
  • Updated tests and examples with SDR classifier
  • Finished updating examples with SDR classifier.
  • Updated hotgym and general anomaly examples with SDR classifier.
  • Updates pycapnp to 0.5.8
  • test_db-fixes avoids printing user password in plaintext
  • test_db-fixes updates database and table name
  • Corrections made to the spatial pooler tutorial.
  • changes maxBoost default value to 1.0
  • fixes connection tests and prints config file used in test_db.py
  • Moved back overlap accesors test for spatial_pooler from API tests to unit tests.
  • Added tutorial script for the spatial pooler. Modified README file accordingly.
  • Moved the unit test for SP overlap accesors to API tests.