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/q1qg90dgp449x7rpcfsi0mf1hr588dk1-python-pyfit-sne-1.0.1.drv | ||
mips64el-linux | /gnu/store/rd7jlj5w9n55fdh6h2n16yypd0sxabrz-python-pyfit-sne-1.0.1.drv | ||
i686-linux | /gnu/store/zp2ws7wm9s52ah56pla1jcxnq4rjqrxw-python-pyfit-sne-1.0.1.drv | ||
armhf-linux | /gnu/store/g7zb1m397ari3mqr23f6svx50i2959sd-python-pyfit-sne-1.0.1.drv | ||
aarch64-linux | /gnu/store/69mhwqbnn9qw8hw4m7bcfyrhrmpkqc24-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 |