Roadmap » History » Version 4
Version 3 (Jeremy Gow, 2012-10-24 01:12 PM) → Version 4/34 (Jeremy Gow, 2012-10-30 02:23 PM)
h1. Roadmap
h2. Short-term
Configuration script: set local paths.
Debugged/consistent code on repository, then split release version from development branch.
Some basic benchmarks Basic unit tests/benchmarks to ensure stability of compare with future development versions.
Configuration script: set local paths.
Allow user to specify structure of model.
* Determine order in which distributions are combined.
* Specify weights for particular combinations, e.g. weighted viewpoints, or weighted memory stores.
* Multiple memory stores.
* Specify alternative context strategies.
* Provide some prepackaged models, e.g. the current model structure.
Adding viewpoint weights to output.
New basic viewpoints:
* cents - a higher resolution representation of pitch.
* comma - this needs implementing?
More flexible way for user to specify constraints on viewpoint search.
h2. Mid-term
* Allow models to use predictive information (PI), expected PI and PI rate (as analogs to IC, entropy and entropy rate respectively).
* Feature selection/generation.
h2. Long-term
* Hierarchical structure?
* Parallel implementations?
h2. Short-term
Configuration script: set local paths.
Debugged/consistent code on repository, then split release version from development branch.
Some basic benchmarks Basic unit tests/benchmarks to ensure stability of compare with future development versions.
Configuration script: set local paths.
Allow user to specify structure of model.
* Determine order in which distributions are combined.
* Specify weights for particular combinations, e.g. weighted viewpoints, or weighted memory stores.
* Multiple memory stores.
* Specify alternative context strategies.
* Provide some prepackaged models, e.g. the current model structure.
Adding viewpoint weights to output.
New basic viewpoints:
* cents - a higher resolution representation of pitch.
* comma - this needs implementing?
More flexible way for user to specify constraints on viewpoint search.
h2. Mid-term
* Allow models to use predictive information (PI), expected PI and PI rate (as analogs to IC, entropy and entropy rate respectively).
* Feature selection/generation.
h2. Long-term
* Hierarchical structure?
* Parallel implementations?