semvec/pypi-packages huggingface dataset:
qtsix 1.1
Compatibility layer for different Qt bindings.
License: BSD
Keywords: Qt bindings

QtSix provides a compatibility layer that allows to write Python
applications that work with different Qt bindings: PyQt5, PyQt4 or
PySide.

An application that used QtSix can work correctly if any of the
supported Qt bindings is installed on the system.
QtSix automatically detects available bindings and uses them
transparently.

If more than one Qt_ binding is present on the system then it is selected
the first one available in the following order: PyQt5, PyQt4, PySide.
completethat 0.1dev
A package to solve low rank matrix completion problems
License: BSD

CompleteThat (v0.1dev) 
====================

CompleteThat is a python package that solves the low rank matrix completion
problem. Given a low rank matrix with partial entries the package solves an
optimization problem to estimate the missing entries.

Mathematically, the package solves a relaxation (using the nuclear norm or the 
Frobenius norm of the objective matrix) of the following problem:

  minimize_{X} ||X||
  st. X(i,j) = M(i,j) \forall (i,j)\in \Omega,
  where, M represents the data matrix and \Omega represents the set of p
  observed entries of M

Usage
-------

>>> from completethat import MatrixCompletion
>>> problem = MatrixCompletion(M)
>>> problem.complete_it(algo_name)
>>> X = problem.get_matrix()
>>> out_info = problem.get_out() 

>>> from completethat import MatrixCompletionBD
>>> problem = MatrixCompletionBD('input_data.txt')
>>> problem.train_sgd(dimension=6,init_step_size=.01,min_step=.000001, reltol=.001,rand_init_scale=10,   maxiter=1000,batch_size_sgd=50000,shuffle=True)
>>> problem.validate_sgd('test_data.txt')
>>> problem.save_model()

Authors 
-------

This package was written by Joshua Edgerton and Esteban Fajardo

Acknowledgments
-------

This package is the result of the final project for the class EEOR E4650: Convex
Optimization at Columbia University, Fall 2014. We would like to thank the
authors of the different algorithms used in the package to solve the problem.