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| Class Summary | |
|---|---|
| Buffer | Buffers all input data during learning. |
| Distortion | Introduces random distortions to numeric features of samples. |
| FlattenVectors | Flattens DataVectors whose items are other DataVectors. |
| KMeans | Stream implementation of standard k-means clustering algorithm. |
| TimeWindows | Treats input samples as elements of a time series and generates time windows composed of a fixed number of consecutive input samples, with every possible offset from the beginning of the input stream. |
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