All Versions
48
Latest Version
Avg Release Cycle
61 days
Latest Release
2154 days ago

Changelog History
Page 3

  • v0.4.2 Changes

    • 🚀 Using official release version of bindings for nupic release.

  • v0.4.1 Changes

    • 🚀 Manualy update of nupic.bindings dev version after botched release attempt

  • v0.4.0 Changes

    • ⚡️ Updated hello_tm.py to use accessors
    • ⚡️ Updated TP_shim.py to use accessors Updated columnForCell and _validateCell in FastTemporalMemory to conform to their docstrings, which is needed for the change to TP_shim.py
    • ⚡️ Updated temporal memory monitor mixin to use accessors
    • Updated temporal_memory_test.py to use accessor methods.
    • ➕ Added accessors to temporal_memory.py
    • 🔄 Change temporalImp to tm_py for both networks and add comment about it being a temporary value until C++ TM is implemented
    • Refactored to remove common code between network_checkpoint_test.py and temporal_memory_compatibility_test.py
    • 👉 Use named constants from nupic.data.fieldmeta in aggregator module instead of naked constants.
    • 🛠 Fix AttributeError: 'TMShim' object has no attribute 'topDownCompute'
    • 👌 Support more parameters in TMShim
    • Serialize remaining fields in CLAModel using capnproto
    • Enforce pyproj==1.9.3 in requirements.txt
    • 👉 Use FastCLAClassifier read class method instead of instance method
    • Have CLAClassifierFactory.read take just the proto object
    • ➕ Add capnp serialization to CLAClassifierRegion
    • ➕ Add capnp serialization to SPRegion

  • v0.3.6 Changes

    • 🏁 Windows support
    • Serialization work
    • 🚚 Moved SWIG out into nupic.core
    • 🏗 Major build changes

  • v0.3.5 Changes

    • 👻 Raise explicit exception if user passes non-str path
    • SP: simplify local inhibition
    • ✅ SP: adapt tests, sort winning columns output
    • SP: simplify active columns assignment
    • SP: simplify global inhibition
    • file Rename as hello_tm.py and modifications in comments

  • v0.3.4 Changes

    • Added src/nupic/frameworks/opf/common_models/cluster_params.py and supporting files from numenta-apps htmengine. A separate numenta-apps PR will remove this code from htmengine.
    • 🛠 fixes #2592
    • 🛠 fix for #2265
    • 🛠 fix for bug #2265
    • 🛠 Fixup Dockerfile to install nupic.bindings, and other cleanup
    • ➕ Adding C++ compiler requirement to README.
    • 🛠 Fix for test failure
    • 🛠 Fixed stream definition reference error.
    • ⬇️ Reduce default reestimation period.
    • ✂ Remove greedy reestimation of distribution
    • Pointing README to proper bindings version.
    • Continuing work on 0.3.4.dev0.
    • ✅ removing a test that depends on nupic.vision
    • 🚧 PCA_Node test: some fixes, WIP
    • formatting
    • ✅ test for PCANode region
    • ✂ remove Pillow from requirements.txt as it was used for vision only
    • 🛠 fix merge mistake in csv file
    • 🚚 move test from PCANode to nupic.vision unittest

  • v0.3.3 Changes

    • Include additional file types in MANIFEST.in, consistent with setup.py
    • Pattern and Sequence machines using nupic::Random
    • 📜 Wrap sparse matrix implementations with cortical column-centric semantics as a way to abstract away the underlying implementation
    • ✅ Re-enable testHotgymRegression

  • v0.3.2 Changes

    • ⚡️ Update to nupic.bindings version with fix for platform differences
    • 📇 Rename nupic directory to src/nupic
    • ⚡️ Updated S3 URL to nupic.bindings for Linux install
    • 🛠 Fix paths for data files in an integration test
    • 🛠 Fix issue with storing temporary file in wrong location in integration test

  • v0.3.1 Changes

    • Specify nupic.bindings version to match commit sha (0.2).
    • 🔊 Use logging.debug for emitting the message about not being able to import matplotlib; we log it at debug level to avoid polluting the logs of apps and services that don't care about plotting.
    • ➕ Add Dockerfile ready to perform swarming.
    • ✂ Removes PCANode
    • ⚡️ Updated Linux binary install instructions.

  • v0.3.0 Changes

    • ⚡️ Updated comment about greedy stats refresh when likelihood > 0.99