Feeding sequence labels to TemporalMemory
Merge branch 'master' into issue-13
Fix syntax error
Use TemporalMemoryInspectMixin's stats in named tuple format
Using metric: number of predicted=>active cells per column in a given sequence
Using metric: # of sequences each predicted active cell shows up in
Remove unused variable
Using prettyPrintSequenceCellRepresentations
Create test for multiple worlds having different cell representations
First version of new TM with the TP code

Still needs cleanup
Small cleanup

Renamed TP_New to temporal_pooler
Renamed TP_New class to TemporalPooler

Renamed TP_New class to TemporalPooler
Merge pull request #31 from chetan51/issue-13_metrics

Create metrics for evaluating Layer 4 sensorimotor inference
Merge branch 'master' into issue-32
Fix test to make it pass
Merge branch 'master' of github.com:numenta/nupic.research into new_tm_with_pooling
Merge pull request #35 from subutai/new_tm_with_pooling

New tm with pooling
Merge pull request #36 from chetan51/issue-32

Create test for multiple worlds having different cell representations
Initial Travis-CI configuration.

- Added python script to fetch NuPIC binary for local installation.
- Added NuPIC SHA in local file to point to NuPIC version.
- Updated .gitignore to ignore sensorimotor/.cache.
- Added Travis-CI config file to install NuPIC and run tests.
Simple runner class for SM networks

Simple runner class for running SM networks. Made default temporal pooler parameters more reasonable. Updated sm_pooling_1d_test to use new runner.