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NuPIC v0.5.5 Release Notes

    • ✅ 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 TMRegion 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.