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/y0qi6f3dh9a92i3qkyrab242i3kpmnsw-python-pyfit-sne-1.0.1.drv | ||
mips64el-linux | /gnu/store/bnwmw4d52civ52xjgwaha7gwr8bvsprz-python-pyfit-sne-1.0.1.drv | ||
i686-linux | /gnu/store/11liifvgmhdba9qx9mr22q59kg172x79-python-pyfit-sne-1.0.1.drv | ||
armhf-linux | /gnu/store/ik1pyj3mp273hlvm48hxsf6mvikqyjrl-python-pyfit-sne-1.0.1.drv | ||
aarch64-linux | /gnu/store/lgxi3mav990cxkxf790vq1s8vkwwnbca-python-pyfit-sne-1.0.1.drv |
Linter | Message | Location |
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description Validate package descriptions | description should start with an upper-case letter or digit |