GitHub - onlinemediagroup/mrscake: data prediction library

This repository has been archived by the owner on Sep 14, 2018. It is now read-only.

Name		Name	Last commit message	Last commit date
Latest commit History 197 Commits
data		data
lib		lib
.gitignore		.gitignore
Makefile		Makefile
README		README
ast.c		ast.c
ast.h		ast.h
ast_transforms.c		ast_transforms.c
ast_transforms.h		ast_transforms.h
autoupdate.py		autoupdate.py
build_model.py		build_model.py
codegen.c		codegen.c
codegen.h		codegen.h
codegen_c.c		codegen_c.c
codegen_js.c		codegen_js.c
codegen_python.c		codegen_python.c
codegen_ruby.c		codegen_ruby.c
config.h		config.h
constant.c		constant.c
constant.h		constant.h
cvtools.cpp		cvtools.cpp
cvtools.h		cvtools.h
dataset.c		dataset.c
dataset.h		dataset.h
dict.c		dict.c
dict.h		dict.h
easy_ast.h		easy_ast.h
environment.c		environment.c
environment.h		environment.h
io.c		io.c
io.h		io.h
job.c		job.c
job.h		job.h
list.c		list.c
list.h		list.h
model.c		model.c
model_cv_ann.cpp		model_cv_ann.cpp
model_cv_dtree.cpp		model_cv_dtree.cpp
model_cv_linear.cpp		model_cv_linear.cpp
model_cv_svm.cpp		model_cv_svm.cpp
model_perceptron.c		model_perceptron.c
model_select.c		model_select.c
model_select.h		model_select.h
mrscake.h		mrscake.h
mrscake.py.c		mrscake.py.c
mrscake.rb.c		mrscake.rb.c
multimodel.cpp		multimodel.cpp
net.c		net.c
net.h		net.h
python_interpreter.c		python_interpreter.c
serialize.c		serialize.c
serialize.h		serialize.h
server.c		server.c
settings.c		settings.c
settings.h		settings.h
stringpool.c		stringpool.c
stringpool.h		stringpool.h
test_ast.c		test_ast.c
test_model.c		test_model.c
test_python_module.py		test_python_module.py
test_ruby_module.rb		test_ruby_module.rb
test_server.c		test_server.c
test_subset.c		test_subset.c
var_selection.c		var_selection.c
var_selection.h		var_selection.h
varselect_cv_dtree.cpp		varselect_cv_dtree.cpp

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mrscake (read: "Mrs. Cake") is a model selection algorithm built 
on top of machine learning algorithms from OpenCV.

Compile it using
    make
    make install
.
(Potentially tweak the Makefile first)

It has a Ruby and a Python interface.

Python:
-------

import mrscake
data = mrscake.DataSet()
data.add(["a", 1.0, "blue"], output="yes")
data.add(["a", 3.0, "red"], output="yes")
data.add(["b", 2.0, "red"], output="no")
data.add(["b", 3.0, "blue"], output="no")
data.add(["a", 5.0, "blue"], output="yes")
data.add(["b", 4.0, "blue"], output="yes")
model = data.train()

result = model.predict(["a", 2.0, "red"])

code = model.generate_code("python") # or: ruby, javascript, c

Ruby:
-----

require 'mrscake'
data = MrsCake::DataSet.new
data.add([:a, 1.0, :blue], :yes)
data.add([:a, 3.0, :red], :yes)
data.add([:b, 2.0, :red], :no)
data.add([:b, 3.0, :blue], :no)
data.add([:a, 5.0, :blue], :yes)
data.add([:b, 4.0, :blue], :yes)
model = data.train()
model.print

result = model.predict([:a, 2.0, :red])

code = model.generate_code("ruby") # or: ruby, javascript, c