Balík: umap-learn (0.4.5+dfsg-2)

Odkazy pre umap-learn

Zdroje Debian:

Stiahnuť zdrojový balík umap-learn:

Správcovia:

Externé zdroje:

Domovská stránka [github.com]

Podobné balíky:

Uniform Manifold Approximation and Projection

Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t- SNE, but also for general non-linear dimension reduction. The algorithm is founded on three assumptions about the data:

 1. The data is uniformly distributed on a Riemannian manifold;
 2. The Riemannian metric is locally constant (or can be
    approximated as such);
 3. The manifold is locally connected.

From these assumptions it is possible to model the manifold with a fuzzy topological structure. The embedding is found by searching for a low dimensional projection of the data that has the closest possible equivalent fuzzy topological structure.

Ostatné balíky súvisiace s balíkom umap-learn

závisí

odporúča

navrhuje

vylepšuje

dep: python3

interactive high-level object-oriented language (default python3 version)
dep: python3-numba

native machine code compiler for Python 3
dep: python3-numpy

schopnosti rýchlych polí do jazyka Python 3
dep: python3-scipy

vedecké nástroje pre Python 3
dep: python3-sklearn

Python modules for machine learning and data mining - Python 3

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