FFT-accelerated Interpolation-based t-SNE
t-Stochastic Neighborhood Embedding (t-SNE) is a highly successful method for dimensionality reduction and visualization of high dimensional datasets. A popular implementation of t-SNE uses the Barnes-Hut algorithm to approximate the gradient at each iteration of gradient descent. This package is a Cython wrapper for FIt-SNE.
System | Target | Derivation | Build status |
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x86_64-linux | /gnu/store/nvcaj6hsq1h85yfms1hyr44k5wd1magk-python-pyfit-sne-1.0.1.drv | ||
mips64el-linux | /gnu/store/kmwa1f6pl3rpd3ij78c8nxd266k7l92b-python-pyfit-sne-1.0.1.drv | ||
i686-linux | /gnu/store/5szknp7pgr4mag58wmr7vyzx836fhk7b-python-pyfit-sne-1.0.1.drv | ||
armhf-linux | /gnu/store/58172ykq74r2fz8j8viy2w0s6gpxpwhy-python-pyfit-sne-1.0.1.drv | ||
aarch64-linux | /gnu/store/mj6hijprcqch76sk9ccz8h6cb7qg14m2-python-pyfit-sne-1.0.1.drv |
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description Validate package descriptions | description should start with an upper-case letter or digit |