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geektoni / CVobserver_example.cpp
Last active July 28, 2017 15:26
#include <shogun/base/init.h>
#include <shogun/features/DenseFeatures.h>
#include <shogun/labels/RegressionLabels.h>
#include <shogun/kernel/LinearKernel.h>
#include <shogun/regression/KernelRidgeRegression.h>
#include <shogun/evaluation/CrossValidation.h>
#include <shogun/evaluation/CrossValidationSplitting.h>
#include <shogun/evaluation/MeanSquaredError.h>
#include <shogun/lib/parameter_observers/ParameterObserverCV.h>
@geektoni
geektoni / GSoC_2017_Final_Report.md
Last active August 29, 2017 13:19

GSoC 2017 Final Report

Shogun Detox II: Codebase improvements and finalization of the new Tags and Serialization frameworks

Student: Giovanni De Toni
Organization: The Shogun Toolbox
Mentors: Viktor Gal, lambday

Abstract

The Shogun Toolbox is a well-established machine learning project that provides efficient algorithms implementations that can be used in a wide range of applications and with multi-language support (thanks to SWIG magic). Unfortunately, since it was built by many hands for many years, its code has become not easily maintainable or extendable and it does not use many new programming techniques and components that have appeared since the Shogun foundation. The time has come to blow some fresh air (and some new fresh code) into Shogun's depths. This project aims to correct and update the codebase and to complete the integration of

@geektoni
geektoni / Perceptron_Observer_benchmark
Last active July 2, 2018 10:07
-------------------------------------------------------------------------------------------------
Benchmark Time CPU Iterations
-------------------------------------------------------------------------------------------------
# Baseline
DataFixture/perceptron_baseline/8/256 16 ms 16 ms 43
DataFixture/perceptron_baseline/64/256 18 ms 18 ms 34
DataFixture/perceptron_baseline/256/256 47 ms 47 ms 15
DataFixture/perceptron_baseline/8/512 31 ms 31 ms 22
DataFixture/perceptron_baseline/64/512 51 ms 51 ms 13
DataFixture/perceptron_baseline/256/512 108 ms 108 ms 6
@geektoni
geektoni / changepassword.sh
Created August 20, 2018 07:53
#!/bin/bash
USER=$1
PASS=$2
usermod --password $(echo $PASS | openssl passwd -1 -stdin) $USER
@geektoni
geektoni / lars_example.cpp
Last active February 27, 2019 18:46
#include <shogun/features/DenseFeatures.h>
#include <shogun/lib/SGMatrix.h>
#include <shogun/regression/LeastAngleRegression.h>
#include <shogun/labels/RegressionLabels.h>
#include <shogun/mathematics/linalg/LinalgNamespace.h>
#include <shogun/preprocessor/PruneVarSubMean.h>
#include <shogun/preprocessor/NormOne.h>
#include <shogun/lib/parameter_observers/ParameterObserverLogger.h>
#include <shogun/base/init.h>
#include <shogun/lib/common.h>
@geektoni
geektoni / register_observable_params.cpp
Last active March 6, 2019 14:44
/******/
/* How observable parameters can be registered*/
/******/
MyFabulousMachine::init()
{
// Register standard parameters
SG_ADD(&m_w, "weights", "Model weigths", ParameterProperties::MODEL);
// Version A: Register observable parameters. The user could then get a list
// (vector) of the parameters he can observe inside this model. Only the parameters
@geektoni
geektoni / averaged_perceptron_example.py
Last active April 19, 2019 13:44
from matplotlib import pyplot as plt
from matplotlib import animation
from shogun import csv_file, features, labels, machine, parameter_observer
f_feats_train = csv_file("classifier_binary_2d_linear_features_train.dat")
f_feats_test = csv_file("classifier_binary_2d_linear_features_test.dat")
f_labels_train = csv_file("classifier_binary_2d_linear_labels_train.dat")
f_labels_test = csv_file("classifier_binary_2d_linear_labels_test.dat")
features_train = features(f_feats_train)
@geektoni
geektoni / results_glm.txt
Created April 30, 2019 15:29
# Beta0 e Beta predetti
0.057167247685
[ 0. -0. -0. 0. 0. -0. -0. 0. -0. 0.]
# Beta0 e Beta reali usati dal generatore
[ 0.04515583]
[-0.012569 0.058881 0.138457 -0.021287 -0.021285 0.143565 0.069767
-0.042679 0.049324 -0.042129]
@geektoni
geektoni / gist:487fa1c3eac5fbd31c70c9dc54d67fb1
Created May 16, 2019 14:21
#include <shogun/base/init.h>
#include <shogun/base/some.h>
#include <shogun/distance/Distance.h>
#include <shogun/features/Features.h>
#include <shogun/io/File.h>
#include <shogun/io/SerializableAsciiFile.h>
#include <shogun/lib/DynamicObjectArray.h>
#include <shogun/lib/SGMatrix.h>
#include <shogun/lib/SGVector.h>
#include <shogun/lib/observers/ParameterObserver.h>
@geektoni
geektoni / strace-out-wrong
Created July 4, 2019 14:09
execve("/home/travis/build/BioDynaMo/biodynamo/build/install/third_party/paraview/bin/pvpython", ["pvpython", "../src/core/visualization/genera"..., "output/N3bdm52CatalystAdaptorTes"...], [/* 152 vars */]) = 0
brk(NULL) = 0xbb8000
access("/etc/ld.so.nohwcap", F_OK) = -1 ENOENT (No such file or directory)
mmap(NULL, 4096, PROT_READ|PROT_WRITE, MAP_PRIVATE|MAP_ANONYMOUS, -1, 0) = 0x7f8d974f4000
access("/etc/ld.so.preload", R_OK) = -1 ENOENT (No such file or directory)
open("/home/travis/build/BioDynaMo/biodynamo/build/install/third_party/qt/lib/tls/x86_64/libc.so.6", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
stat("/home/travis/build/BioDynaMo/biodynamo/build/install/third_party/qt/lib/tls/x86_64", 0x7ffe6b614520) = -1 ENOENT (No such file or directory)
open("/home/travis/build/BioDynaMo/biodynamo/build/install/third_party/qt/lib/tls/libc.so.6", O_RDONLY|O_CLOEXEC) = -1 ENOENT (No such file or directory)
stat("/home/travis/build/BioDynaMo/biodynamo/build