1.0.5

• d81e128 NUP-2519: Update nupic.core version
• 3371e4e NUP-2519: Upgrade pycapnp to 0.6.3
• 11a13c0 NUP-2518: Remove obsolete region initialization parameters from custom region example
• 67724de "pip install --use-wheel" was deprecated. See https://pip.pypa.io/en/stable/news/#deprecations-and-removals
• 08daff4 Fix softmax overflow

1.0.4

• 682fd2e : NUP-2506: Add test to all Serializable subclasses and fix related issues (#3826)
• a7ab556 : NUP-2506: fix traversal limit (#3823)
• 54e1ffe : Added holidays parameter to date encoder (#3822)
• 9bb7705 : version lock 'sphinx-autobuild' dependency 'tornado' (#3815)
• 13c02de : Update some legacy code examples. (#3814)
• 33052e1 : Fix metric spec schema bug (#3812)
• 40e2169 : Fix lack of logging in run_swarm.py (#3809)
• d8c7404 : NUP-2487: Update category prediction example
• 38e4026 : Issue #1380: Update SP parameter validation test checking array dimensions
• e470860 : numenta/nupic.core-legacy#1380: Fix SP tests with correct dtype values
• 38c9c7e : Add example for infer as well
• 94e5f62 : Include example to make isSparse parameter easier to understand
• ffd1457 : Update KNN classifier documentation to make the input pattern requirements clear in both learn and infer
• 5ecae91 : Changed distribution keyword, casted some attributes to float, removed setting list (#3784)
• 41e5a6a : Issue #3783: Fixes test to compute pass the probation period (#3786)
• 7e5f587 : Updating to XCode 8.3
• 1aea72a : Update name of nyc_taxi.csv to nycTaxi.csv (#3776)

1.0.3

Release 1.0.3.

• Updated incorrect name for anomaly likelihood region. (#3770)

1.0.2

Release 1.0.2

• Fixed BacktrackingTM serialization error (#3765)

1.0.1

• Fixed a bug in record sensor that prevented the usage of CoordinateEncoder. (#3754)

1.0.0

• Improved exception handling in /swarm/test_db.py (#3738)
• DEVOPS-362 Remove unnecessary install script
• DEVOPS-362 test removing dependency on install script entirely
• DEVOPS-362 update install script
• DEVOPS-362 Add initial version of missing install script
• Added serialization guide to API docs. (#3737)
• Put conditional around capnp for Windows
• Complete new serialization in SpatialPooler
• Catch nupic.core reference
• NUP-2342: consolidate read/write into a single context
• NUP-2342: Update examples to use capnp serialization
• NUP-2341: Use capnp serialization for SDRClassifierDiff
• NUP-2351: Remove TODOs from HTM Prediction Model test and fix bugs exposed by this test
• NUP-2351: Add serialization to KNNAnomalyClassifierRegion
• NUP-2351: Fix KNNClassifier serialization
• NUP-2349 Implemented testCapnpWriteRead test for PreviousValueModel OPF class. Implemented PreviousValueModel.getProtoType. Return instance from PreviousValueModel.read.
• NUP-2349 Implemented capnp serialization of PreviousValueModel
• Put capnp import checks in place for Windows
• Add serialization tests for TMRegion
• NUP-2463 Serialize inferenceArgs, learningEnabled, and inferenceEnabled in opf Model.
• Add support for different TM types in TMRegion serialization
• Added Serializable to API docs, and inheritence links
• Fixed Next ID value in comment in model.capnp
• NUP-2464 Integrated ModelProto support into opf TwoGramModel.
• Fixed input to SP in docs algo example (#3708)
• NUP-2464 Serialize numPredictions and inferenceType via ModelProto member of HTMPredictionModelProto.
• Added Serializable to all classes with a capnp write function (#3710)
• Safe import of capnp for moving average proto
• getSchema returns prototype
• Remove unused _readArray
• Rely on pycapnp/numpy native conversions in write/read
• Add capnp conditionals for Windows
• NUP-2351: Use dict directly instead of creating capnp message
• Fixed Serializable extensions
• Fix CPP breakages from changes
• NUP-2351: Add capnp serialization to KNNClassifierRegion
• Fix everything up to get serialization tests working with capnp serialization for BacktrackingTM
• Added getSchema to MovingAverage
• Added Serializable to all classes with a capnp write function
• Finished up first pass implementation of BacktrackingTM serialization
• NUP-2350: capnp serialization for TwoGramModel
• NUP-2449 Completed implementation of HTMPredictionModel serialization tests.
• NUP-2463 Implemented test (disabled) to demonstrate the bug "Predicted field and __inferenceEnabled are not serialized by HTMPredictionModel.write"
• OPF Guide cleanup and link fixes (#3700)
• NUP-2355 Add new serialization to TestRegion
• remove SVMClassifierNode (#3697)
• handle scalar values in the sdr classifier region
• NUP-2346: Add serialization to knn_classifier
• NUP-2458 Fixed and enabled SDRClassifierTest.testWriteReadNoComputeBeforeSerializing
• NUP-2458 Implemented testWriteReadNoComputeBeforeSerializing in sdr_classifier_test.py that reproduces the "deque index out of bounds", but disabled the test, since it fails in a different way after the fix, most likely unrelated to the fix, which needs to be debugged
• NUP-2398 Refactor test comparing different configurations
• NUP-2458 Prevent index out of bounds when saving patternNZHistory after fewer than _maxSteps input records have been processed.
• NUP-2458 Moved HTMPredictionModel serialization test to integration/opf
• NUP-2449 Implement simple serialization/deserialzation tests. This exposed a number of problems that need to be fixed before we can make further progress.
• update sdr classifier doc

0.8.0

• Document ExperimentDescriptionAPI (#3679)
• Update nupic.math API docs (#3677)
• SP docs cleanup (#3671)
• Allow multiple classifications for each record to SDRClassifier (#3669)
• Updated BacktrackingTMCPP compute parameter name (#3667)
• Fix HTMPredictionModel prediction using SDRClassifier (#3665)
• Remove CLAClassifier (#3665)
• Add capnp serialization to TMRegion (#3657)

0.7.0

0.7.0

WARNING: This release contains breaking changes described in
https://discourse.numenta.org/t/warning-0-7-0-breaking-changes/2200

• Stop calling the backtracking_tm tests "tm tests" (#3650)
• Update hierarchy demo to fix regression
• Clean up BacktrackingTM's public API (#3645)
• Make region file names snake_case (part 7) (#3640)
• Removed references to obsolete tm_py_fast shim (#3639)
• Updated OPF Metric API docs (#3638)
• updated init.py to include missing encoders (#3487)
• Fixed anomaly likelihood doc problems. (#3629)
• Updates swarming, some region code to snake_case (part 6) (#3627)
• Fixed OPF util helpers module names. (#3625)
• Complete RST docs for nupic.support (#3624)
• Deleted nupic.support.features* (unused) (#3622)
• Removed nupic.support.exceptions (unused) (#3620)
• Proper snake_case for nupic.support (part 5) (#3618)
• Snake case nupic.encoders (part 4) (#3614)
• Moved opf_helpers module to helpers (#3610)
• Removes unused code from nupic.support (#3616)
• Applying snake_case module name standards (PART 3) (#3611)
• Fixed support initLogging docstring params
• Finished OPF utils and env docs
• Documented OPF Basic Env
• Documented OPF ENv
• Documenting OPF Task Driver
• Documenting OPF experiment runner
• Removed OPF utils PredictionElement (#3604)
• Partial doc of experiment description api
• NUP-2429 Add .gitignore with first_order_0.csv to prevent accedental commits of this generated file.
• Documented cluster_params canned model config
• Documented OPF model exceptions
• Finished doccing opf_utils
• Documenting OPF utils
• Removed predictedField from HTMPredictionModel constructor (#3600)
• NUP-2420 Renamed tm_shim.py to BacktrackingTM_shim.py
• Removes inputRef / bookmark params from appendRecord (#3597)
• Documented nupic.data (#3593)
• OPF Model docstrings (#3589)
• Remove obsolete nupic.research.bindings check
• Removed unimplemented abstract methods (#3596)
• Removed WeatherJoiner code from old example (#3595)
• Updated snakecase opf_utils in RST docs (#3585)
• Renamed tm_ccp test so it runs
• Moved research tm_cpp_test.py back into nupic.research
• Removed base.Encoder.formatBits() (#3582)
• Replace dump() with define str in Encoders. Issue #1518 (#3559)
• Complete encoder docstrings (#3579)
• Removed nupic.research, moved contents to nupic.algorithms
• move zip logic into 'build_script'
• Add support for artifacts deployed to S3 named according to sha
• Snake case module names PART 2 (#3561)
• Remove old examples Part 2 (#3562)
• NUP-2401: Check for prediction results discrepancies (#3558)
• NUP-2397: rename TP* to TM* (#3555)
• NUP-2405: quick-start guide for the Network API (#3557)
• Snake case module names PART 1 (#3550)
• NUP-2394: network API code example (#3520)
• Remove old examples Part 1 (#3551)
• Docs: InferenceShifter,ModelResult,SensorInput,InferenceType (#3549)
• CLAModel name changed to HTMPredictionModel (#3516)
• Updating FileRecordStream docstrings (#3545)
• Fieldmeta docstrings (#3541)
• Update KNNClassifier docstrings (#3535)
• SDRClassifier docs, default config docs
• Updates anomaly docstrings (#3537)
• [NUP-2399] Added style guides to new guide (#3528)
• NUP-2396 Allow SensorRegion to pass actValue and bucketIdx to SDRClassifierRegion
• Added anomaly detection guide (#3521)
• NUP-2389 Upgrade nupic.bindings dependency to 0.6.1 which has the requisite changes.
• name change tpParams/tmEnable => tmParams/tmEnable (#3514)
• NUP-2391: packages to document & progress tracking (#3517)
• Quick Start
• NUP-2389 Remove calls to Region::purgeInputLinkBufferHeads. Since we only support delay=0 in CLA models, we no longer need purgeInputLinkBufferHeads, because the new Link::compute logic in nupic.core now performs direct copy from src to dest for links with delay of 0.
• Disable flatline hack in anomaly likelihood

0.6.0

0.6.0

• Touch init even if model params dir exists
• Auto-add init.py when model parms created
• Shift code from otherwise unused nupic.engine.common_networks to example where it's used. Includes bugfix renaming rawAnomalyScore to anomalyScore
• Explicitly import and use engine_internal in lieu of engine to avoid confusion, create nupic.engine.OS and nupic.engine.Timer by assignment rather than subclass
• Change SparsePassThroughEncoder dtype error to ValueError
• Fix for an unrelated change that resulted in numpy arrays being used in cpp implementation
• Give better message for bad dtype to SparsePassThroughEncoder
• Add test for passing float values for radius
• Adds api docs for coordinate encoders
• Cleanup CoordinateEncoder
• Remove svm, cells4 tests that are moved to nupic.core.
• Added missing anomaly stuff, fixed requirements
• Moved sphinx deps out of requirements.txt
• Fix hotgym_regression_test.py to make it work with nupic.core PR 1236.
• Skip test when capnp is not available, such as windows as well as address feedback from Scott
• Serialization base python class analagous to nupic.core Serializable c++ class
• Adds a demo Jupyter notebook, useful for demonstrating usage of visualization framework and as an entrypoint for tinkering with different network topologies
• Speed up SpatialPooler read method.
• Rename normalProbability to tailProbability.
• Use IterableCollection from engine_internal
• Call Region.purgeInputLinkBufferHeads after compute() calls in CLAModel to integrate with the new delayed link implementation from nupic.core.
• rename maxBoost to boostStrength in hotgym example
• Disable backward compatibility serialization test
• remove minPctActiveDutyCycle parameter form SP compatability test
• update expected result in hotgym, result change due to different rounding rules in boosting
• eliminate minPctActiveDutyCycle from spatial pooler
• Rename maxBoost to BoostStrength
• Stop changing the overlaps to do tie-breaking
• Stop trying to get identical boost factors between py and cpp
• set maxBoost in expdescriptionapi
• update sp_overlap_test to use global inhibition
• slight simplification of boostFactor calculation
• Implement update boost factors local and global
• Avoid floating point differences with C++ SpatialPooler
• run C++ SP in spatial_pooler_boost_tests
• update spatial pooler boost test
• update boosting rules for spatial pooler
• fix bug in setPotential
• modified SP boosting rule

0.5.7

• Remove tests moved to nupic.core and update version to latest bindings release.
• Update hello_tm.py
• Removed linux and gcc from Travis build matrix
• Makes anomaly_likelihood.py compliant to Python3
• Update env vars and paths to simplify the AV configuration and installation.
• Cleanup references to nupic.bindings and old CI code for manually fetching nupic.bindings since it should be found on PyPI without doing anything special.