Matthew Taylor

Results 89 issues of Matthew Taylor

I have a build job that processed both unit and integration tests, so I'd like to submit more than one coveralls report within the job. Currently, the latest publication overrides...

As reported by Phil at https://discourse.numenta.org/t/sdrclassifier-returning-confidence-of-nan/5972: > I’ve created various models where after the model has run for some time the classifier confidence value starts returning NaN. > > As...

type:bug

There is some possibility to accelerate the local inhibition x 20 for topological data (e.g. 2D images), as mentioned in the attached file. It might be nice to have the...

type:enhancement
subject:algorithms
type:optimization
under-review

From: https://issues.numenta.org/browse/NPC-324 Once experiment generator is moved into NuPIC, tests need to be moved or added as well.

type:tests
under-review

Common flatline anomalies are not detected in many cases by HTM algorithms. The first report of this is from [HTM Forum](https://discourse.numenta.org/t/an-obvious-type-of-anomalies-was-not-detected-by-htm/2578). See: ![flatline chart](https://discourse-cdn-sjc2.com/standard13/uploads/numenta/optimized/2X/0/0f78a1a50058492343ee4b3d0c984a7219976914_1_690x431.jpg) Later, it was also reported against...

type:bug
subject:algorithms
priority:3

Original report: https://discourse.numenta.org/t/attributeerror-with-model-save-related-to-tmcppshim-object/2434 ```python model = createModel() model.enableInference({"predictedField": "cpu1"}) model.save(fullpath) ``` `fullpath` refers to the full string path to the directory where I wish to save the model. `createModel()` is...

type:bug
priority:3
type:serialization

After the new serialization technique has been implemented, the old technique must be phased out. Both methods should work for a period of time to give client code a chance...

type:enhancement
status:in progress
type:serialization
super

See #683 for context.

type:cleanup
newbie
status:help wanted
subject:opf
priority:4
triage