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Class Summary | |
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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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