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/wqzmswlg1v59hkc2x1msnyx3kyqxswmz-python-pyfit-sne-1.0.1.drv | ||
mips64el-linux | /gnu/store/7k593j258y55pclsb39lbzzzipak9lzm-python-pyfit-sne-1.0.1.drv | ||
i686-linux | /gnu/store/0c6qhw9sj4srhzyggw28wsi6fs81wp9q-python-pyfit-sne-1.0.1.drv | ||
armhf-linux | /gnu/store/6vqqfr789yp3bwf782lsgy7bs34rr2cn-python-pyfit-sne-1.0.1.drv | ||
aarch64-linux | /gnu/store/j2a7qwg06cvgpdhkz0y22hwm4c0vj2ni-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 |