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See:
Description
| Class Summary | |
|---|---|
| TrainingSample<T> | Simple class of training sample that contains the generic |
Package for different types of vector representations.
Since the goal of this library is to provide a generic kernel machines framework, in which kernel are easily adapable, we propose to use Generics for input space representation. This package contains differents classes for representing vectors, such that generic kernel can be built upon.
The way it works is very simple : MLVector
All classes that extends MLVector have convenient methods for performing operations on vectors : add,
mult, dot product, etc.
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