Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

Numenta

Last update: Dec 30, 2022

Related tags

Overview

NuPIC

Numenta Platform for Intelligent Computing

The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum.

For usage guides, quick starts, and API documentation, see http://nupic.docs.numenta.org/.

This project is in Maintenance Mode

We plan to do minor releases only, and limit changes in NuPIC and NuPIC Core to:

Fixing critical bugs.
Features needed to support ongoing research.

Installing NuPIC

NuPIC binaries are available for:

Linux x86 64bit
OS X 10.9
OS X 10.10
Windows 64bit

Dependencies

The following dependencies are required to install NuPIC on all operating systems.

Python 2.7
pip>=8.1.2
setuptools>=25.2.0
wheel>=0.29.0
numpy
C++ 11 compiler like gcc (4.8+) or clang

Additional OS X requirements:

Xcode command line tools

Install

Run the following to install NuPIC:

pip install nupic

Test

# From the root of the repo:
py.test tests/unit

Having problems?

You may need to use the --user flag for the commands above to install in a non-system location (depends on your environment). Alternatively, you can execute the pip commands with sudo (not recommended).
You may need to add the --use-wheel option if you have an older pip version (wheels are now the default binary package format for pip).

For any other installation issues, please see our search our forums (post questions there). You can report bugs at https://github.com/numenta/nupic/issues.

Live Community Chat:

Installing NuPIC From Source

To install from local source code, run from the repository root:

pip install .

Use the optional -e argument for a developer install.

If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed).

Build:
To cite this codebase:

Comments

Pip installable
With this PR NuPIC can be a PIP installable package.

Other improvements with this PR:

$PYTHONPATH was discarded as an user can use the install or develop options from setuptools..

$NTAX_DEVELOPER_BUILD also was discarded due the same reason above.

Please note, that $NTA can discarded as now everything can be done in a single location (distutils/setuptools experts here know what I mean).. This is possible due to distutils allow we install the NuPIC library in different places (PYTHON_PATH, HOME, etc)..

To have a better idea, I suggest read first the instructions from README..

Fixes #809 Fixes #602 Fixes #603 Fixes #604

Replaces https://github.com/numenta/nupic/pull/880
type:enhancement type:build
opened by david-ragazzi 175
Integration with nupic.core API

These changes allow that CMake builds nupic.core and links its output (libnupic.core.a) to nupic subprojects.

This depends of https://github.com/numenta/nupic.core/pull/47 (at least depends of the SHA)
type:build status:ready core extraction

opened by david-ragazzi 131
Visualize, plot OPF experiment results
I'd like to visualize the results .csv from running OPF experiment. It should be relatively easy, but perhaps some of you have already written a nice utility for that? NAB, @rhyolight ?

WORKING branch: https://github.com/breznak/nupic/tree/plot_results

TODO:

[x] move or copy the script from NAB to NUPIC/scripts/visualization/

[x] Offline & Security

~~plot.ly~~ publishes all data online, I think this is unacceptable for general use for us

"our script" is pretty nice, runs in browser on localhost

[x] I suggest downloading the rendering scripts for offline use

[x] add example data for easy plotting test + doc

[x] OPF results data - opf_results/*.csv

[x] NAB (small) data - data_file* results_file* data/ results/

[x] eval which plotting lib to use, currently it's DyGraph https://github.com/numenta/NAB/blob/master/nab_visualizer.html#L4-L7 -- @jefffohl liked D3.js for being more flexible, but decided to stick with DyGraph so far as it fits the current needs of plotting graphs.

[x] extend to plot OPF data, not only NAB (subset of OPF) data (Help wanted, I can explain what to do with OPF data, provide parser script)

[x] plot single file
The current JS code from NAB spends a lot of work in parsing a structure of files, in order to plot all *.csv files there. For OPF/Nupic we don't need that (although it wouldn't hurt to keep the functionality for NAB).
What we need is the ability to plot a single file provided as an argument (python plot.py ./opf_results/DefaultTask.csv)

[x] merge data and results
NAB uses separate folders for paths & results, on OPF results file, the all these are together

[ ] improve the Plot page interface (Help wanted)

[x] plot data, add a checkbox option, the OPF field is actual

[x] plot anomaly, add a checkbox option, the OPF field is anomalyScore

[x] plot predicted field, add a checkbox option, the OPF field is multistepBestPrediction.1

[x] optional, add option to plot other multistep (>1) prediction fields

[x] opt, add textfield to enter specific label that should be plotted, maybe can fit ^^^

checkboxes generated dynamically for all CSV labels

[ ] preselect some values -- impossible to preselect/know data - but anomalyScore & multiStepBestPredictions.actual make sense

[ ] opt, plot labeled anomalies (not present in OPF, could be just a specific field)

[x] UI: merge data & results windows?

[x] UI: anomalyScore [0..1.0] is not noticable with "raw data" plotted, FIX by rescaling (to say 90% of max of the data)?

[ ] UI: smooth zoom out. Now can soothly zoom in be selecting the are of interest. and zoom out by mouse-click to the original size. Can we zoom-out iteratively as well (mouse wheel/a scroll-bar, ...)?

[ ] UI: add highlight menu: check-boxes fields (ex. anomalyScore), threshold (0.9), (optionally: below/over), (opt.: color) and highlight the section where the field is over the threshold.

[ ] Consider an AND operator for the 2 above statements, can be used as evaluation as follows: see https://github.com/breznak/nupic/pull/16
(anomalyScore, >0.9) AND (annotation, >0.9), green # correctly detected anomaly
(anomalyScore, <=0.9) AND (annotation, >0.9), red # missed
(anomalyScore, >0.9) AND (annotation, <=0.9), yellow # false positive

[ ] UI: On higher zoom-out levels (~1 week) it is not possible to see time (fine-grained) on x-axis interactively. (I think best solution would be if the timestamp field would show up in the "fields div on the left", as interactive values are shown there.) see https://github.com/breznak/nupic/pull/20

[x] opt, FIX plotting of NAB Results, currently only data seem to work. (Help wanted)
If the above succeeds, maybe NAB should switch to using OPF format for the output (data+results) ( @subutai ?)

[ ] Extending OPF: issues not directly for this PR, related to OPF; @rhyolight ?

[ ] anomalyScore has a string type in OPF (maybe bcs it's None at the 1st step)

[ ] new anomalyAnnotations OPF field, to mark human annotations, could be useful in NAB

[ ] Plotting non-numeric inputs. Currently impossible, but each encoder has a scalarValue member, can we expose that (add a field XX.scalar for each input field to OPF file) somehow?

[x] Bugs

[x] selecting a non-OPF csv crashes the web app, can't render after reselecting a correct OPF file (w/o server restart) @jefffohl

[x] fields with too long name (eg metrics) get shortened in the UI, but it's not possible to see the whole name. Maybe a "context label" on mouse hover?

[x] "generic CSV" support (NAB,..)
currently some fields are hard-coded (eg for "scaled anomaly score") and the rendering fails if the fields are not present. But a nice feature is the dynamic menu for plotting numeric fields, it would be nice if only the "scaled" function failed (and its checkbox is greyed-out) instead of all plot failing.

[x] additionally, if the "scaled" functionality could be written more generic (an array for labels to scale) so we could scale both anomaly & likelihood score, or spiketrain (0/1) data,... ?

[x] /low priority/ Does not render in FireFox (nor did the orginal NAB code, but the DyGraph examples work fine in a recent FF)

[ ] New Features

[ ] Online plotting
would require: a) the model sends the updates to the server; b) a network in/out region; c) refreshing the plot of the (updated) file every second or so..

[ ] PR ready code

[ ] finish main Readme, add images, maybe a wiki

[ ] mention the "2 rows skipped" feature/problem

[x] add comments/docs to functions

[x] avoid hard-coded values, allow "settings" at code-level

[ ] should we add test-case for this code?

UPDATES:

4/11/2015 - some refactoring, configurable options, improved "generic CSV" handling, documentation

3/11/2015 - Merged Jeff's PR with Bugfixes & overhauled usability! :clap: "Zoom view", and much more!

27/10/2015 - Merged Jeff's work enabling OPF files plotting, improving UI

24/10/2015 - Updated with @jefffohl 's "Initial commit" work, plots NAB data & results, improved checkboxes for plots

type:enhancement newbie status:help wanted subject:opf
opened by breznak 127
Pythonic build: Switch from cmake to distutils extensions for nupic installation
Fixes https://github.com/numenta/nupic/issues/1573.

This PR aims to help we have Nupic "pip installable". For this it tries to leave the build/install process the more "pythonic" as possible using: a) native support from Distutils/SetupTools to build all C++ extensions (https://github.com/numenta/nupic/issues/1573) b) Python scripts to perform jobs that were being performed by C++ executables (https://github.com/numenta/nupic/issues/1576).

The motivation of B is because it's very tricky install all current cpp executables and libraries using A solution. Some of these libraries (like bindings) are inevitable to be build as extensions, however c++ extensions like htmtest and compare_nupic_core_version can be replaced to python scripts. Different than bindings, these 2 extensions are complicating the process as they should be installed into souce repository (bin folder, to be exact) and not into nupic package install folder like the other modules.

Once that all extensions now can be build in a natural way, we can remove CMakeLists.txt from NuPIC Pyhton. This makes that CMake becomes essential only to build the NuPIC Core library: as this is an optional job, we could bypass CMake/Git use during PIP process decreasing the number of build/install steps and dependencies.

I still am working on the pythonic version of HtmTest. Thus it's normal that some tests fail, because Travis still is referencing its c++ version.

TODO:

[X] Figure out the ARCHFLAGS="-arch x86_64" requirement on darwin64. Update: There's not way, distutils take the flags which python was build. So we cannot set this variable inside setup.py.

[X] Update supporting documentation (README, wikis) with any build changes. Update: README updated with ARCHFLAGS instructions.

[X] Simplification of this PR by move bindings refactoring to a new PR. Solved by https://github.com/numenta/nupic/pull/1610

[X] Simplification of this PR by move Travis scripts, CMakeLists.txt, and README update (replacement of make commands to python instructions and custom_targets remotion) to a new PR. Solved by https://github.com/numenta/nupic/pull/1622

[X] Simplification of this PR by move HtmTest to nupic.core on a new PR. Solved by https://github.com/numenta/nupic/pull/1676 and numenta/nupic.core#282

[X] python setup.py --help & python setup.py --help-commands should print help, not compile
opened by david-ragazzi 120
Document the proposed directory structure for nupic.core and nupic

As a part of the nupic.core extraction, we need to create some documentation of the proposed directory structure after the extraction is complete. This should include both repositories, as well as details about where the nupic.core dependency exists within nupic.
type:docs core extraction

opened by rhyolight 73

Problem running Python tests

Hi all,

I followed the instructions for installing Nupic on Ubuntu (https://github.com/numenta/nupic/wiki/Installing-NuPIC-on-Ubuntu) and ran into a couple of issues which I resolved by setting up the PYTHONPATH, NUPIC, and NTA environment variables.

However, I eventually got stuck when running the Python tests and here is what I'm getting:

tests/unit/py2/nupic/engine/network_test.py:32: NetworkTest.testErrorHandling FAILED

======================================================================= FAILURES =======================================================================
____________________________________________________________ NetworkTest.testErrorHandling _____________________________________________________________
self = <tests.unit.py2.nupic.engine.network_test.NetworkTest testMethod=testErrorHandling>

    def testErrorHandling(self):
      n = engine.Network()

      # Test trying to add non-existent node
      with self.assertRaises(Exception) as cm:
        n.addRegion('r', 'py.NonExistingNode', '')

      self.assertEqual(cm.exception.message,
                       "Matching Python module for " +
                       "py.NonExistingNode not found.")

      # Test failure during import
      with self.assertRaises(Exception) as cm:
        n.addRegion('r', 'py.UnimportableNode', '')

      self.assertEqual(str(cm.exception),
        'invalid syntax (UnimportableNode.py, line 5)')

      # Test failure in the __init__() method
      with self.assertRaises(Exception) as cm:
        n.addRegion('r', 'py.TestNode', '{ failInInit: 1 }')

      self.assertEqual(str(cm.exception),
        'TestNode.__init__() Failing on purpose as requested')

      # Test failure inside the compute() method
      with self.assertRaises(Exception) as cm:
        r = n.addRegion('r', 'py.TestNode', '{ failInCompute: 1 }')
        r.dimensions = engine.Dimensions([4, 4])
        n.initialize()
        n.run(1)

      self.assertEqual(str(cm.exception),
>       'TestNode.compute() Failing on purpose as requested')
E     AssertionError: "Wrong number of arguments for overloaded function 'new_Dimensions'.\n  Possible C/C++ prototypes are:\n    nta::Dimensions()\n    nta::Dimensions(std::vector< size_t,std::allocator< size_t > >)\n    nta::Dimensions(size_t)\n    nta::Dimensions(size_t,size_t)\n    nta::Dimensions(size_t,size_t,size_t)\n" != 'TestNode.compute() Failing on purpose as requested'

tests/unit/py2/nupic/engine/network_test.py:65: AssertionError
------------------------------------------------------------------- Captured stdout --------------------------------------------------------------------
ERROR:  Matching Python module for py.NonExistingNode not found. [/home/mariam/nupic/nta/engine/RegionImplFactory.cpp line 450]
ERROR:  Could not get valid spec for Region: py.UnimportableNode [/home/mariam/nupic/nta/engine/RegionImplFactory.cpp line 446]
{'singleNodeOnly': False, 'inputs': {'bottomUpIn': {'count': 0, 'requireSplitterMap': True, 'description': 'Primary input for the node', 'isDefaultInput': True, 'dataType': 'Real64', 'required': True, 'regionLevel': False}}, 'commands': {}, 'description': 'The node spec of the NuPIC 2 Python TestNode', 'parameters': {'failInCompute': {'count': 1, 'description': 'For testing failure in compute()', 'dataType': 'Int32', 'accessMode': 'ReadWrite', 'defaultValue': '0', 'constraints': ''}, 'stringParam': {'count': 0, 'description': 'String parameter', 'dataType': 'Byte', 'accessMode': 'ReadWrite', 'defaultValue': 'nodespec value', 'constraints': ''}, 'real32Param': {'count': 1, 'description': 'Real32 scalar parameter', 'dataType': 'Real32', 'accessMode': 'ReadWrite', 'defaultValue': '32.1', 'constraints': ''}, 'failInInit': {'count': 1, 'description': 'For testing failure in __init__()', 'dataType': 'Int32', 'accessMode': 'ReadWrite', 'defaultValue': '0', 'constraints': ''}, 'uint32Param': {'count': 1, 'description': 'UInt32 scalar parameter', 'dataType': 'UInt32', 'accessMode': 'ReadWrite', 'defaultValue': '33', 'constraints': ''}, 'int32Param': {'count': 1, 'description': 'Int32 scalar parameter', 'dataType': 'Int32', 'accessMode': 'ReadWrite', 'defaultValue': '32', 'constraints': ''}, 'uint64Param': {'count': 1, 'description': 'UInt64 scalar parameter', 'dataType': 'UInt64', 'accessMode': 'ReadWrite', 'defaultValue': '65', 'constraints': ''}, 'int64arrayParam': {'count': 0, 'description': 'Int64 array parameter', 'dataType': 'Int64', 'accessMode': 'ReadWrite', 'defaultValue': '', 'constraints': ''}, 'int64Param': {'count': 1, 'description': 'Int64 scalar parameter', 'dataType': 'Int64', 'accessMode': 'ReadWrite', 'defaultValue': '64', 'constraints': ''}, 'real64Param': {'count': 1, 'description': 'Real64 scalar parameter', 'dataType': 'Real64', 'accessMode': 'ReadWrite', 'defaultValue': '64.1', 'constraints': ''}, 'real32arrayParam': {'count': 0, 'description': 'Real32 array parameter', 'dataType': 'Real32', 'accessMode': 'ReadWrite', 'defaultValue': '', 'constraints': ''}}, 'outputs': {'bottomUpOut': {'count': 0, 'dataType': 'Real64', 'isDefaultOutput': True, 'regionLevel': False, 'description': 'Primary output for the node'}}}
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Interrupted: stopping after 1 failures !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
=================================================== 1 failed, 153 passed, 6 skipped in 22.18 seconds ==

Was wondering if anybody has any solution for this issue. My Python version is 2.7 could that be the source of problem? In other words does Nupic strictly require Python 2.6 or it's fine with 2.7 too?

type:bug type:tests

opened by mariamr 66

Remove git submodule in favor of CMake commands
Fixes #798. Fixes #634.

Removed nta git submodule, replaced with CMake commands to manually clone, fetch, and checkout nupic.core repository. This also allows overriding the defaults on the command line via NUPIC_CORE_REMOTE, for the remote repository url, and NUPIC_CORE_COMMITISH, for the specific sha.

There are several advantages to this approach:

No git submodules (nupic git repository is no longer explicitly coupled to git://github.com/numenta/nupic.core.git)

~~CMakeLists.txt~~ .nupic_modules is the ground truth for nupic.core version dependency

User can override NUPIC_CORE_REMOTE and NUPIC_CORE_COMMITISH at-will, if they are not using the official nupic.core repository.

Developer can make changes in nta/ and push to remote repository of their choosing

type:build status:ready core extraction type:development
opened by oxtopus 64
Failing database connection for ~/examples/swarm/test_db.py
Hi,

I am new to nupic. Just installed nupic on my mac.

Before cloning, i have created folder called "nupic" in my user folder and then cloned nupic source code from github. So cloning created another "nupic" folder under my "nupic" folder.

Hence i have set set environment variable $NUPIC as /users/username/nupic/nupic.

I am able to import nupic successfully but unable to run below two commands.

python ~/examples/swarm/test_db.py

I am getting below error File "~/examples/swarm/test_db.py", line 23, in from nupic.support.configuration import Configuration ImportError: No module named support.configuration

Not sure why it is happening, although there is "support" folder under $NUPIC/nupic

Python 2.7.10 (default, Jul 13 2015, 12:05:58) [GCC 4.2.1 Compatible Apple LLVM 6.1.0 (clang-602.0.53)] on darwin Type "help", "copyright", "credits" or "license" for more information.

import nupic from nupic.swarming import permutations_runner Traceback (most recent call last): File "", line 1, in ImportError: No module named swarming

I am getting this error. please help me for both the errors.
opened by viveklife2003 55
Anomaly modular

1/ turn anomaly.py into a class for better reuse, move related logic from clamodel.py here 2/ nice speedup for python (use numpy.sum()) 3/ new features/"implementation" to anomaly computation - parametrized, default off, so no change from current 3.1/ new cumulative anomaly (sliding window) 3.2/ @subutai Please have a look if you like this approach, it's prepared for integration with your likelihood anomaly code 4/ added tests
status:ready subject:anomaly

opened by breznak 53
[RFC] SpatialPooler: extract boosting to a separate file, "interface"
Addresses boosting in the SpatialPooler, and tries to put all the boosting related logic into one class. The Boosting instance is then used as a member of SP. It's only change and improvement is that it hides all the update*DutyCycles* logic from SP.

TODO:

[ ] looking for help with CAPNP serialization for Boosting (and SP) https://github.com/numenta/nupic/pull/2620#issuecomment-149392750

Fixes: #824
question status:in progress status:help wanted
opened by breznak 44
Added wrapAround parameter to SP

Added wrapAround parameter to SP so the behavior of _mapPotential can be chosen by user.

Also made a relatively small change in the way _mapPotential maps inputs to columns when potentialRadius is smaller than the largest input dimension. See images below.

Fixes #1211 Fixes #1216 Fixes https://github.com/numenta/nupic/issues/884

@chetan51 please review
type:enhancement subject:algorithms

opened by baroobob 43
fix(sec): upgrade asteval to 0.9.23
What happened？

There are 1 security vulnerabilities found in asteval 0.9.1

MPS-2022-14748

What did I do？

Upgrade asteval from 0.9.1 to 0.9.23 for vulnerability fix

What did you expect to happen？

Ideally, no insecure libs should be used.

The specification of the pull request

PR Specification from OSCS Signed-off-by:pen4[email protected]
opened by pen4 0

Dependency Issue

Please upgrade to Python 3.6 + Most of the libraries are obsolete right now or will be in the near future.

  File "/var/folders/_f/pbf0vr692pndzc449s346v0w0000gn/T/easy_install-l8i_KS/setuptools_scm-6.4.2/setup.py", line 31, in scm_version
    'Operating System :: Microsoft :: Windows',
RuntimeError: support for python < 3.6 has been removed in setuptools_scm>=6.0.0
----------------------------------------

ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

opened by albertsalgueda 0

pip install nupic throws error

Hi!

I was trying to get acquainted with nupic library, but it does not work from the very beginning, the "pip install nupic" command.

Running this in a Google Colab notebook (and locally), I get the following error log: Using cached https://files.pythonhosted.org/packages/86/e8/f31a7c9a3b471f6125abc8addd37c17760e00affb45d6db088394a360086/unittest2-0.5.1.tar.gz Added unittest2==0.5.1 from https://files.pythonhosted.org/packages/86/e8/f31a7c9a3b471f6125abc8addd37c17760e00affb45d6db088394a360086/unittest2-0.5.1.tar.gz#sha256=aa5de8cdf654d843379c97bd1ee240e86356d3355a97b147a6f3f4d149247a71 (from nupic) to build tracker '/tmp/pip-req-tracker-f2clgsrs' Running setup.py (path:/tmp/pip-install-1j0aqyyp/unittest2/setup.py) egg_info for package unittest2 Running command python setup.py egg_info Traceback (most recent call last): File "", line 1, in File "/tmp/pip-install-1j0aqyyp/unittest2/setup.py", line 12, in from unittest2 import version as VERSION File "/tmp/pip-install-1j0aqyyp/unittest2/unittest2/init.py", line 40, in from unittest2.collector import collector File "/tmp/pip-install-1j0aqyyp/unittest2/unittest2/collector.py", line 3, in from unittest2.loader import defaultTestLoader File "/tmp/pip-install-1j0aqyyp/unittest2/unittest2/loader.py", line 92 except Exception, e: ^ SyntaxError: invalid syntax Cleaning up... Removing source in /tmp/pip-install-1j0aqyyp/nupic Removing source in /tmp/pip-install-1j0aqyyp/asteval Removing source in /tmp/pip-install-1j0aqyyp/mock Removing source in /tmp/pip-install-1j0aqyyp/ordereddict Removing source in /tmp/pip-install-1j0aqyyp/psutil Removing source in /tmp/pip-install-1j0aqyyp/pytest Removing source in /tmp/pip-install-1j0aqyyp/pytest-cov Removing source in /tmp/pip-install-1j0aqyyp/pytest-xdist Removing source in /tmp/pip-install-1j0aqyyp/python-dateutil Removing source in /tmp/pip-install-1j0aqyyp/PyYAML Removing source in /tmp/pip-install-1j0aqyyp/unittest2 Removed unittest2==0.5.1 from https://files.pythonhosted.org/packages/86/e8/f31a7c9a3b471f6125abc8addd37c17760e00affb45d6db088394a360086/unittest2-0.5.1.tar.gz#sha256=aa5de8cdf654d843379c97bd1ee240e86356d3355a97b147a6f3f4d149247a71 (from nupic) from build tracker '/tmp/pip-req-tracker-f2clgsrs' Removed build tracker '/tmp/pip-req-tracker-f2clgsrs' ERROR: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output. Exception information: Traceback (most recent call last): File "/usr/local/lib/python3.7/dist-packages/pip/_internal/cli/base_command.py", line 153, in _main status = self.run(options, args) File "/usr/local/lib/python3.7/dist-packages/pip/_internal/commands/install.py", line 382, in run resolver.resolve(requirement_set) File "/usr/local/lib/python3.7/dist-packages/pip/_internal/legacy_resolve.py", line 201, in resolve self._resolve_one(requirement_set, req) File "/usr/local/lib/python3.7/dist-packages/pip/_internal/legacy_resolve.py", line 365, in _resolve_one abstract_dist = self._get_abstract_dist_for(req_to_install) File "/usr/local/lib/python3.7/dist-packages/pip/_internal/legacy_resolve.py", line 313, in _get_abstract_dist_for req, self.session, self.finder, self.require_hashes File "/usr/local/lib/python3.7/dist-packages/pip/_internal/operations/prepare.py", line 224, in prepare_linked_requirement req, self.req_tracker, finder, self.build_isolation, File "/usr/local/lib/python3.7/dist-packages/pip/_internal/operations/prepare.py", line 49, in _get_prepared_distribution abstract_dist.prepare_distribution_metadata(finder, build_isolation) File "/usr/local/lib/python3.7/dist-packages/pip/_internal/distributions/source/legacy.py", line 39, in prepare_distribution_metadata self.req.prepare_metadata() File "/usr/local/lib/python3.7/dist-packages/pip/_internal/req/req_install.py", line 563, in prepare_metadata self.metadata_directory = metadata_generator(self) File "/usr/local/lib/python3.7/dist-packages/pip/_internal/operations/generate_metadata.py", line 124, in _generate_metadata_legacy command_desc='python setup.py egg_info', File "/usr/local/lib/python3.7/dist-packages/pip/_internal/utils/subprocess.py", line 242, in call_subprocess raise InstallationError(exc_msg) pip._internal.exceptions.InstallationError: Command errored out with exit status 1: python setup.py egg_info Check the logs for full command output.

Is there anything that can be done about it? Honestly, if I can't even install it, what use is it to me. But maybe I am missing something simple. Any help would be much appreciated!

Regards, A.

opened by arb-git 1
A question about model.run()

Hi, I have a question about model.run() If I have a time series t0,d0 t1,d1 t2,d2 ... When I execute model.run(d0), the result will be the perdiction of d0 or d1?

opened by qiezikuangge 0
Bump pyyaml from 3.10 to 5.4
Bumps pyyaml from 3.10 to 5.4.

Changelog

Sourced from pyyaml's changelog.

5.4 (2021-01-19)

yaml/pyyaml#407 -- Build modernization, remove distutils, fix metadata, build wheels, CI to GHA

yaml/pyyaml#472 -- Fix for CVE-2020-14343, moves arbitrary python tags to UnsafeLoader

yaml/pyyaml#441 -- Fix memory leak in implicit resolver setup

yaml/pyyaml#392 -- Fix py2 copy support for timezone objects

yaml/pyyaml#378 -- Fix compatibility with Jython

5.3.1 (2020-03-18)

yaml/pyyaml#386 -- Prevents arbitrary code execution during python/object/new constructor

5.3 (2020-01-06)

yaml/pyyaml#290 -- Use is instead of equality for comparing with None

yaml/pyyaml#270 -- Fix typos and stylistic nit

yaml/pyyaml#309 -- Fix up small typo

yaml/pyyaml#161 -- Fix handling of slots

yaml/pyyaml#358 -- Allow calling add_multi_constructor with None

yaml/pyyaml#285 -- Add use of safe_load() function in README

yaml/pyyaml#351 -- Fix reader for Unicode code points over 0xFFFF

yaml/pyyaml#360 -- Enable certain unicode tests when maxunicode not > 0xffff

yaml/pyyaml#359 -- Use full_load in yaml-highlight example

yaml/pyyaml#244 -- Document that PyYAML is implemented with Cython

yaml/pyyaml#329 -- Fix for Python 3.10

yaml/pyyaml#310 -- Increase size of index, line, and column fields

yaml/pyyaml#260 -- Remove some unused imports

yaml/pyyaml#163 -- Create timezone-aware datetimes when parsed as such

yaml/pyyaml#363 -- Add tests for timezone

5.2 (2019-12-02)

Repair incompatibilities introduced with 5.1. The default Loader was changed, but several methods like add_constructor still used the old default yaml/pyyaml#279 -- A more flexible fix for custom tag constructors yaml/pyyaml#287 -- Change default loader for yaml.add_constructor yaml/pyyaml#305 -- Change default loader for add_implicit_resolver, add_path_resolver

Make FullLoader safer by removing python/object/apply from the default FullLoader yaml/pyyaml#347 -- Move constructor for object/apply to UnsafeConstructor

Fix bug introduced in 5.1 where quoting went wrong on systems with sys.maxunicode <= 0xffff yaml/pyyaml#276 -- Fix logic for quoting special characters

Other PRs: yaml/pyyaml#280 -- Update CHANGES for 5.1

5.1.2 (2019-07-30)

Re-release of 5.1 with regenerated Cython sources to build properly for Python 3.8b2+

... (truncated)

Commits

58d0cb7 5.4 release

a60f7a1 Fix compatibility with Jython

ee98abd Run CI on PR base branch changes

ddf2033 constructor.timezone: _copy & deepcopy

fc914d5 Avoid repeatedly appending to yaml_implicit_resolvers

a001f27 Fix for CVE-2020-14343

fe15062 Add 3.9 to appveyor file for completeness sake

1e1c7fb Add a newline character to end of pyproject.toml

0b6b7d6 Start sentences and phrases for capital letters

c976915 Shell code improvements

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0

Releases(1.0.5)

1.0.5(Jun 1, 2018)
d81e128c6 NUP-2519: Update nupic.core version

3371e4ef9 NUP-2519: Upgrade pycapnp to 0.6.3

11a13c018 NUP-2518: Remove obsolete region initialization parameters from custom region example

67724debf "pip install --use-wheel" was deprecated. See https://pip.pypa.io/en/stable/news/#deprecations-and-removals

08daff4a3 Fix softmax overflow

Source code(tar.gz)
Source code(zip)
1.0.4(Apr 12, 2018)
682fd2e66c6d45912cd9c518106740143eff9fd9 : NUP-2506: Add test to all Serializable subclasses and fix related issues (#3826)

a7ab556a64e57064a8febbcf2ee341a1b1ff18ae : NUP-2506: fix traversal limit (#3823)

54e1ffead7a8cedd9a2dab08bb02c7e5e3536bf3 : Added holidays parameter to date encoder (#3822)

9bb7705ebd428e73f6efc180e77f7f127ce67c4d : version lock 'sphinx-autobuild' dependency 'tornado' (#3815)

13c02de82c6bc52afc364fd1fdce88c5fa1aa92c : Update some legacy code examples. (#3814)

33052e10dbe1030929223fc7e54d2d7c8b8a1ced : Fix metric spec schema bug (#3812)

40e216915a172901b5dbe34932543fae68aa3631 : Fix lack of logging in run_swarm.py (#3809)

d8c740486198a6764b18c73bffe6005988435ac7 : NUP-2487: Update category prediction example

38e40266a7ad2744fce904a02faa383676950e1e : Issue #1380: Update SP parameter validation test checking array dimensions

e470860e962db70a2b16c82d1647f10b3e985c42 : numenta/nupic.core#1380: Fix SP tests with correct dtype values

38c9c7e1d7b161d9a4b2378cdae3652af704a481 : Add example for infer as well

94e5f62e669dcbd55268c07b6aa30f391135ab4f : Include example to make isSparse parameter easier to understand

ffd1457037a52cb63a7be0cf004e886f3909f505 : Update KNN classifier documentation to make the input pattern requirements clear in both learn and infer

5ecae91017c5f4f68c944a3f5b5d79d1276e2c59 : Changed distribution keyword, casted some attributes to float, removed setting list (#3784)

41e5a6aefc649b08dbe948ba3e1db46f5aaaa603 : Issue #3783: Fixes test to compute pass the probation period (#3786)

7e5f587ecd039520a53a4aa4608eb7ce577654f1 : Updating to XCode 8.3

1aea72abde4457878a16288d6786ffb088f69164 : Update name of nyc_taxi.csv to nycTaxi.csv (#3776)

Source code(tar.gz)
Source code(zip)
1.0.3(Sep 13, 2017)
Release 1.0.3.

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

Source code(tar.gz)
Source code(zip)
1.0.2(Aug 22, 2017)
Release 1.0.2

Fixed BacktrackingTM serialization error (#3765)

Source code(tar.gz)
Source code(zip)
1.0.1(Aug 8, 2017)
Fixed a bug in record sensor that prevented the usage of CoordinateEncoder. (#3754)

Source code(tar.gz)
Source code(zip)
1.0.0(Jul 7, 2017)
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

Source code(tar.gz)
Source code(zip)
0.8.0(Jun 8, 2017)
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)

Source code(tar.gz)
Source code(zip)
0.7.0(Jun 2, 2017)
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

Source code(tar.gz)
Source code(zip)
0.6.0(Mar 30, 2017)
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

Source code(tar.gz)
Source code(zip)
0.5.7(Nov 28, 2016)
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.

Source code(tar.gz)
Source code(zip)
0.5.6(Oct 20, 2016)
Since manylinux nupic.bindings wheel 0.4.10 has now been released to PyPi, we no longer need to install nupic.bindings from S3.

fix logic in _getColumnNeighborhood

Bugfix in flatIdx reuse after a segment is destroyed

Change private _burstColumn class method signature to accept a cellsForColumn argument in lieu of a cellsPerColumn argument. Move the calculation that otherwise depends on cellsPerColumn into the instance method.

TM: Support extensibility by using traditional methods

Update expected error for topology changes

Update expected hotgym result for topology changes

Adds RELEASE.md with documentation for releasing NuPIC.

Match nupic.core's SP neighborhood ordering.

Update inhibition comments and docstrings.

Introduce mechanism by which already-installed pre-release versions of nupic.bindings are ignored during installation

Assign self.connections value from self.connectionsFactory() rather than direct usage of Connections constructor. Allows better extensibility should the user want to change some aspect of the creation of the connections instance in a subclass

Removed obsolete directory src/nupic/bindings/

Remove the notion of "destroyed" Segments / Synapses

Enable proper subclassing by converting staticmethods that referenced TemporalMemory to classmethods that reference their class.

Fixup TemporalMemory.write() to handle columnDimensions as tuples.

Initialize columnDimensions as a tuple in test to reflect common convention. This forces the TemporalMemoryTest.testWriteRead test to fail in its current state.

Store "numActivePotentialSynapses". No more "SegmentOverlap".

Add a lot more scenarios to the TM perf benchmark

Moved audiostream example to htm-community

Safer "addToWinners" value. Play nicely with surgical boosting.

Bugfix: With no stimulus threshold, still break ties when overlaps=0

Clean up trailing whitespace and tabs

Properly apply the stimulus threshold

Add test for new "learn on predicted segments" behavior

Split compute into activateCells and activateDendrites

Grow synapses in predicted columns, not just bursting columns

Removed bundled get-pip.py and instead fetch version copy from S3

Removed .nupic_modules and now rely on versioned release of nupic.bindings on PyPI

averagingWindow size updated to improve HTM scores for RES-296

Build system updates for Bamboo (Linux), Travis (OS X), and AppVeyor (Windows)

Added nyc taxi example for anomaly detection

Source code(tar.gz)
Source code(zip)
0.5.5(Aug 17, 2016)
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.

Source code(tar.gz)
Source code(zip)
0.5.4(Jun 2, 2016)
Added overlap accessors to spatial_pooler.py plus unit tests. (Code style corrected)

Updated VERSION in Spatial Pooler and added backward compatibility in setstate()

Added members overlaps and boostedOverlaps to SpatialPooler class.

Addition of overlaps and boostedOverlaps members to SpatialPooler class plus unit tests.

Added docs for return type in RDSE internal func.

tm_cpp with tuned parameters

RES-215 Changes to add params for new TM subclass for NAB

Remove main function from SDRClassifierRegion

remove unused methods from SDRClassifierRegion

Add simple end-to-end integration test for SDRClassifierRegion

use string split instead of eval to parse strings

correct inconsistent error msg in sdr_classifier_factory.py

Fix readWrite test of SDR classifier

Add SDRClassifier Region to pyRegions

Initial implementation of SDRClassifier Region

implement SDR classifier factory

Add capnp proto for SDR classifier region

Add default value for SDR classifier implementation in nupic-default.xml

Source code(tar.gz)
Source code(zip)
0.5.3(May 16, 2016)
Default DATETIME columns to NULL in ClientJobsDAO for compatibility across mysql versions. As of mysql 5.7.8, values of 0 are not allowed for DATETIME columns, and CURRENT_TIMESTAMP is semantically inappropriate for those columns.

Suppress this optional dependency on matplotlib without logging, because python logging implicitly adds the StreamHandler to root logger when calling logging.debug, etc., which may undermine an application's logging configuration

Bugfix: Write the 'actualValues' to the output, don't reassign the output

Fixed Username Regex in ClientJobsDAO

cleaned up region a bit to make it compliant with numenta's coding guidelines.

Source code(tar.gz)
Source code(zip)
0.5.2(Apr 15, 2016)
Fixe to GCE to return the right number of scalars when altitude is missing.

Source code(tar.gz)
Source code(zip)
0.5.1(Mar 28, 2016)
Improves SDR classifier and tests

Modify the continuous online learning test

Add 3 tests on multiple item prediction

Fix test_pFormatArray

Implement SDR classifier in NuPIC

Make the 'arrayTypes' list more informative

Add getParameter/setParameter support for Bool and BoolArray

Improved anomaly params (from NAB)

Added minSparsity option

Get the encoder's outputWidth via parameter

Use nupic.core encoders from nupic via the Network API

Fix bugs and inconsistencies in the custom region demo

Adds BINDINGS_VERSION envvar to wheel filename (for iterative builds)

Source code(tar.gz)
Source code(zip)
0.5.0(Feb 15, 2016)
Removes references to FastTemporalMemory.

Lower TM epsilon threshold for compatibility.

Add documentation for the Monitor Mixins

Removed FastTemporalMemory from nupic

Update temporal memory compatibility test to use C++ TM.

Sort segments before iterating for compatibility with C++

Sort unpredictedActiveColumns before iterating for compatibility with C++

Source code(tar.gz)
Source code(zip)
0.4.5(Jan 27, 2016)
This release is just to sync with nupic.bindings 0.3.1.

Source code(tar.gz)
Source code(zip)
0.4.3(Jan 26, 2016)
Updating to proper core sha

Source code(tar.gz)
Source code(zip)
0.4.2(Jan 25, 2016)
Using official release version of bindings for nupic release.

Source code(tar.gz)
Source code(zip)
0.4.1(Jan 25, 2016)
Manualy update of nupic.bindings dev version after botched release attempt

Source code(tar.gz)
Source code(zip)
0.4.0(Jan 25, 2016)
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: 'TPShim' object has no attribute 'topDownCompute'

Support more parameters in TPShim

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

Source code(tar.gz)
Source code(zip)
0.3.6(Dec 18, 2015)
Windows support

Serialization work

Moved SWIG out into nupic.core

Major build changes

Source code(tar.gz)
Source code(zip)
0.3.5(Oct 8, 2015)
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

Source code(tar.gz)
Source code(zip)
0.3.4(Sep 30, 2015)
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

Source code(tar.gz)
Source code(zip)
0.3.3(Sep 22, 2015)
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

Source code(tar.gz)
Source code(zip)
0.3.2(Sep 21, 2015)
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

Source code(tar.gz)
Source code(zip)
0.3.1(Sep 17, 2015)
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.

Source code(tar.gz)
Source code(zip)
0.3.0(Sep 3, 2015)
Updated comment about greedy stats refresh when likelihood > 0.99

Source code(tar.gz)
Source code(zip)
0.2.12(Sep 3, 2015)
Implemented unit tests for the new features in AnomalyLikelihood class.

Convert AnomalyLikelihood._historicalScores to a user-configurable sliding window, instead of accumulating all of the incoming data points. This improved performance a ton! Added AnomalyLikelihood.forceModelRefresh() method.

Update nupic.core to include backwards compatibility fix for RandomImpl.

Uninstall pycapnp to avoid running tests that utilize the functionality and currently fail with Duplicate ID error.

Makes pycapnp and corresponding serialization optional. If pycapnp is not installed then the corresponding serialization tests will be skipped.

Add Multiple Prediction Test for NegLL Metric

Add test for NegLL Error Metric

Fix Orphan Decay Bug in temporal memory test

Change decreasing overlaps test for coordinate encoder to not require a strict decrease (staying the same is ok).

Allow specifying MonitoredTemporalMemory as TM implementation through OPF

include bucket likelihood and classifier input in clamodel

update metrics managers to pass model results to metrics

introducting a computeFlag to prevent double-computation. * The flag is used to prevent double computation in the event that customCompute() is called at the same time as compute()

Added numRecords param for consitency with the newly added infer method in FastCLACLassifier

checking if classifier has a maxCategoryCount attribute. If not, set it to solve backward compatibilities issues

renaming numCategories to maxCategoryCount to be constistent between KNN and CLA classifier

made new experimentutils file containing InferenceElement, InferenceType, and ModelResult duplicates which we will want to change in the future

Source code(tar.gz)
Source code(zip)