README
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stats
There are several packages here for operating on tensor, and table data, for computing standard statistics and performing related computations, such as normalizing the data.
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stats computes standard summary statistics (mean, standard deviation, etc).
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metric computes similarity / distance metrics for comparing two tensors, and associated distance / similarity matrix functions.
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cluster implements agglomerative clustering of items based on metric distance / similarity matrix data.
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convolve convolves data (e.g., for smoothing).
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glm fits a general linear model for one or more dependent variables as a function of one or more independent variables. This encompasses all forms of regression.
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histogram bins data into groups and reports the frequency of elements in the bins.
Directories
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| Path | Synopsis |
|---|---|
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Package metric provides various similarity / distance metrics for comparing tensors, operating on the tensor.Tensor standard data representation.
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Package metric provides various similarity / distance metrics for comparing tensors, operating on the tensor.Tensor standard data representation. |
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Package stats provides standard statistic computations operating on the `tensor.Tensor` standard data representation.
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Package stats provides standard statistic computations operating on the `tensor.Tensor` standard data representation. |