Showing 3 open source projects for "least squares numpy python programs"

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  • 1
    Vedo

    Vedo

    A python module for scientific analysis of 3D data

    A lightweight and powerful python module for scientific analysis and visualization of 3d objects. Inspired by the vpython manifesto "3D programming for ordinary mortals", vedo makes it easy to work with 3D pointclouds, meshes and volumes, in just a few lines of code, even for less experienced programmers. vedo is based on VTK and numpy, with no other dependencies.
    Downloads: 0 This Week
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  • 2
    pure python polyfit

    pure python polyfit

    python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries

    python2/3: compute polyfit (1D, 2D, N-D) without any thirdparty library like numpy, scipy etc. also can be used for least squares solution computation and for A=QR matrix decomposition. Tested with python 2.7 and 3.4 Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation For a Sample use, refer to the WIKI
    Downloads: 0 This Week
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  • 3
    Statistical models with python using numpy and scipy. Currently covers linear regression (with ordinary, generalized and weighted least squares), robust linear regression, and generalized linear model, discrete models, time series analysis and other statistical methods.
    Downloads: 2 This Week
    Last Update:
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