GitLocker: The Coding Marketplace

Description:

acecream 0.4.post11

Build Status
PyPI
Windows
This project provides a wrapper program of Python for ACE algorithm
implementation of Fortran.

Install Binary Distribution
Currently, only 64-bit binary distribution is provided. Run
pip install ace_cream to install the binary distribution.

Platform
py3.6
py3.7
py2.7

Windows
T
T
T

MacOS

T
T

Linux
T
T
T

How to build
You need numpy and fortran compiler to build from source.

Windows

Install Visual
C++
toolchain.
Download MinGW-w64 from
sourceforge,
which provides the necessary fortran compiler
Install MinGW-w64 and add {install_dir}\mingw64\bin path to
environment variable (make gfortran accessible from command
line).

(for conda environment) Add {install_dir}\Anaconda3\Scripts to
environment variable (make f2py accessible from command line).

Mac
You can use package manager to install gfortran (included within gnu
compiler collection). For example, with Homebrew you can use
brew install gcc

Ubuntu
To install gfortran, use the default package manager:
sudo apt-get install gfortran
Run python setup.py install from command line at the project root
directory.

How to use
import numpy as np
from ace_cream import ace_cream
# discrete case, binary symmetric channel with crossover probability 0.1
x = np.random.choice([0,1], size=N_SIZE)
n = np.random.choice([0,1], size=N_SIZE, p=[0.9, 0.1])
y = np.mod(x + n, 2)
# set both x(cat=0) and y(cat=-1) as categorical type
tx, ty = ace_cream(x, y, cat=[-1,0])

# continuous case
x = np.random.uniform(0, np.pi, 200)
y = np.exp(np.sin(x)+np.random.normal(size=200)/2)
tx, ty = ace_cream(x, y)

Result

image

change log

v0.1 initial commit
v0.2 modify to relative import in __init__.py
v0.3 add support for multiple columns of x and other directions of
transformation
v0.4 add f_mapping function and unittests for this function

License
Apache License Version 2.0

Reference

https://en.wikipedia.org/wiki/Alternating_conditional_expectations