Search Results for "least squares numpy python programs"
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Showing 4 open source projects for "least squares numpy python programs"
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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. -
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FOCUS
A model to identify organisms present in metagenomes in seconds
...Dependencies: Jellyfish, Numpy, and Scipy. Cite FOCUS Silva, G. G. Z., D. A. Cuevas, B. E. Dutilh, and R. A. Edwards, 2014: FOCUS: an alignment-free model to identify organisms in metagenomes using non-negative least squares. PeerJ, 2, e425,doi:10.7717/peerj.425. -
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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 -
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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.
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