User Story #9949 (new)
Opened 11 years ago
Last modified 11 years ago
Analysis: Training classification and search algorithm — at Initial Version
Reported by: | spli | Owned by: | spli |
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Priority: | critical | Milestone: | Unscheduled |
Component: | API | Keywords: | analysis |
Cc: | analysis@… | Story Points: | n.a. |
Sprint: | n.a. | Importance: | n.a. |
Total Remaining Time: | n.a. | Estimated Remaining Time: | n.a. |
Description
Most machine learning algorithms will require a training stage. The requirements for this API are unclear, but may include support for:
- Discrete and continuous classifiers/predictors.
- Multiple classifiers/predictors, possibly used in tandem for emsemble learning.
- Handling and storage of parameters
- Definition of a context for each learner (See XXXX)
- Are we aiming to support training of algorithms which have been develoepd and tuned elsewhere, or do we want to support the full training/testing/optimisation process which means we'd need to suport cross-validation.
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