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Commit f26add63 authored by Jakhes's avatar Jakhes
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Adding unfinished lcc

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splfr=/usr/local/sicstus4.7.1/bin/splfr
METHOD_NAME=local_coordinate_coding
$(METHOD_NAME).so: $(METHOD_NAME).pl $(METHOD_NAME).cpp
$(splfr) -larmadillo -fopenmp -lmlpack -lstdc++ -cxx --struct $(METHOD_NAME).pl $(METHOD_NAME).cpp ../../helper_files/helper.cpp
clean:
rm $(METHOD_NAME).so
#include <sicstus/sicstus.h>
/* ex_glue.h is generated by splfr from the foreign/[2,3] facts.
Always include the glue header in your foreign resource code.
*/
#include "local_coordinate_coding_glue.h"
#include <mlpack/methods/local_coordinate_coding/lcc.hpp>
#include <mlpack/core.hpp>
// including helper functions for converting between arma structures and arrays
#include "../../helper_files/helper.hpp"
// some of the most used namespaces
using namespace arma;
using namespace mlpack;
using namespace std;
// Global Variable of the GlobalMethodObject object so it can be accessed from all functions
GlobalMethodObject globalMethodObject;
// TODO:
// input:
// output:
// description:
void sampleFunction()
{
if (IO::HasParam("normalize"))
{
Log::Info << "Normalizing data before coding..." << endl;
for (size_t i = 0; i < matX.n_cols; ++i)
matX.col(i) /= norm(matX.col(i), 2);
}
}
// Basic input parameters
//
// SP_integer integerNumber, double doubleNumber, char const *string
//
// Snippets
//
// Take Matrix: mat-take, take-mat
// Take Array: arr-take, take-arr
//
// Return Matrix: mat-return, return-mat
// Return Array: arr-return, return-arr
:- module(local_coordinate_coding, [function/1]).
%% requirements of library(struct)
:- load_files(library(str_decl),
[when(compile_time), if(changed)]).
%% needed for using the array type
:- use_module(library(structs)).
:- use_module('../../helper_files/helper.pl').
%% type definitions for the float array
:- foreign_type
float32 = float_32,
float_array = array(float32).
%% definitions for the connected function
%% TODO:
%% --Input--
%%
%% --Output--
%%
%% --Description--
foreign(function, c, function(arguments)).
%% +integer , +float32, +string
%% [-integer] , [-float32], [-string]
%% matrix input
%% +pointer(float_array), +integer, +integer
%% array input
%% +pointer(float_array), +integer
%% matrix return
%% -pointer(float_array), -integer, -integer
%% array return
%% -pointer(float_array), -integer
%% bool name => (1)true / (0)false
%% Defines the functions that get connected from main.cpp
foreign_resource(local_coordinate_coding, [function]).
:- load_foreign_resource(local_coordinate_coding).
\ No newline at end of file
:- use_module(library(plunit)).
:- use_module(local_coordinate_coding).
:- use_module('../../helper_files/helper.pl').
reset_Model :-
initModel(1,0,50,0.0001).
:- begin_tests(lists).
%% alpha tests
test(alpha_std_init) :-
reset_Model,
alpha(0).
test(alpha_wrong_input, fail) :-
reset_Model,
alpha(1).
test(alpha_after_train, A =:= 9223372036854775808) :-
reset_Model,
convert_list_to_float_array([5.1,3.5,1.4,4.9,3.0,1.4,4.7,3.2,1.3,4.6,3.1,1.5],3, array(Xsize, Xrownum, X)),
convert_list_to_float_array([0.2,0.2,0.2,0.2], array(Ysize, Y)),
train(X,Xsize, Xrownum,Y, Ysize),
alpha(A).
%% train tests
test(correct_train) :-
reset_Model,
convert_list_to_float_array([5.1,3.5,1.4,4.9,3.0,1.4,4.7,3.2,1.3,4.6,3.1,1.5],3, array(Xsize, Xrownum, X)),
convert_list_to_float_array([0.2,0.2,0.2,0.2], array(Ysize, Y)),
train(X,Xsize, Xrownum,Y, Ysize).
test(false_train, fail) :-
reset_Model,
convert_list_to_float_array([],3, array(Xsize, Xrownum, X)),
convert_list_to_float_array([0.2,0.2,0.2,0.2], array(Ysize, Y)),
train(X,Xsize, Xrownum,Y, Ysize).
test(false_train2, fail) :-
reset_Model,
convert_list_to_float_array([],0, array(Xsize, Xrownum, X)),
convert_list_to_float_array([0.2,0.2,0.2,0.2], array(Ysize, Y)),
train(X,Xsize, Xrownum,Y, Ysize).
test(false_train3, fail) :-
reset_Model,
convert_list_to_float_array([1,2],0, array(Xsize, Xrownum, X)),
convert_list_to_float_array([0.2,0.2,0.2,0.2], array(Ysize, Y)),
train(X,Xsize, Xrownum,Y, Ysize).
test(false_train3, fail) :-
reset_Model,
convert_list_to_float_array([1,2,44,3],3, array(Xsize, Xrownum, X)),
convert_list_to_float_array([0.2,0.2,0.2,0.2], array(Ysize, Y)),
train(X,Xsize, Xrownum,Y, Ysize).
test(false_train4) :-
reset_Model,
convert_list_to_float_array([1,2,44,3],2, array(Xsize, Xrownum, X)),
convert_list_to_float_array([0.2,0.2,0.2,0.2], array(Ysize, Y)),
train(X,Xsize, Xrownum,Y, Ysize).
:- end_tests(lists).
\ No newline at end of file
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