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RegressionInC

A package focussing on regression for complex-valued variables

Terminology

y = X * coef

  • y are called the observations
  • X are the predictors
  • coef are the coefficients

Other formulations and terminology include

Fitting

When fitting the linear problem, the aim is to:

  • Find the coefficients, coef, given observations y and predictors X

Predicting

When predicting the linear problem, the aim is to:

  • Calculate new observations, y, given predictors X and coefficients coef

Key dates

PyPI data
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  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for nss350 from gravatar.com nss350

Credits

Author: nss350

Requires

Python >=3.8, <3.12

Classifiers

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This release
Pre-release

0.1.0a0 This release

2 files

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