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/pyd4qbqq6h5xykhycq5ggam0a7m5sghb-python-pyfit-sne-1.0.1.drv | ||
mips64el-linux | /gnu/store/0qbbgdmgwr5gv48327d2cgizbak6z4yq-python-pyfit-sne-1.0.1.drv | ||
i686-linux | /gnu/store/hq3fmybch7r4859b0rkf4zblvzy5xggg-python-pyfit-sne-1.0.1.drv | ||
armhf-linux | /gnu/store/jxp9y4mvijlaa1z5ya8va61cnfyq3xn4-python-pyfit-sne-1.0.1.drv | ||
aarch64-linux | /gnu/store/3lzkc82rplwc8bafgjygsxbcgkn5ljgq-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 |