Daniel Perry daniel-perry

## data.npy

      
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              July 6, 2017 22:10
            
              
                mlp l-bfgs maxiter bug
              
          
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## ps when ps isn't available on linux
#usage: lsprocs [username]
lsprocs(){
uid=`id -u`
if [ -z ${1+x} ];
then
        uid=`id -u`
else
        uid=`id -u $1`
        echo "uid for $1 is $uid"
fi

## overfeat_sample.jl
using PyPlot
using PyCall
@pyimport overfeat
@pyimport scipy.ndimage as pyndimage
@pyimport scipy.misc as pymisc

# read image
image = pyndimage.imread("../../samples/bee.jpg")

# resize and crop into a 231x231 image

## curve_fitting.jl
# Conversion of Ceres solver curve fitting example to julia - see http://ceres-solver.org/.
# Copyright (c) Daniel Perry 2015
# MIT License


function init()
  ccall((:ceres_init,"libceres"), Void, ())
end
init()

## psb2raw.jl
# converts a .psb (photoshop photo type) to a raw image format.
#
# Raw format:
# height Uint32
# width Uint32
# depth Uint32 (8,16,32)
# data block Uint8, Uint16, Uint32 (depending on depth value = 8, 16, 32)


# using file description Oct 2013 version here:

## kd tree
#ifndef COMMON_KDTREE_H
#define COMMON_KDTREE_H

/*
 * Copyright (c) 2015 Daniel Perry
 *
 */

#include <vector>
using std::vector;

## random mv gaussian
# 30D gaussian data set with the following properties:
# anisotropic (covariance not scaled identity)
# non-axis aligned (rotated)
# non-centered (translated)

n = 300
d = 30

Sigma = eye(d)
Sigma[1,1] = 20

## bil_parse.py
#! /usr/bin/env python

"""BIL parser to load elevation info from sites like
http://earthexplorer.usgs.gov/

Mostly based of:
http://stevendkay.wordpress.com/2010/05/29/parsing-usgs-bil-digital-elevation-models-in-python/

Documentation for the format itself:
http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=BIL,_BIP,_and_BSQ_raster_files

## pom.xml
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
        xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <groupId>dataproj.maven</groupId>
    <artifactId>running-lucene-with-maven</artifactId>
    <packaging>war</packaging>
    <version>0.1</version>
    <profiles>
        <!-- Add profile configuration here -->
    </profiles>

## ggcorplot
# originally from:
# http://groups.google.com/group/ggplot2/attach/6bf632a9718dddd6/ggcorplot.R?part=2
# linked to from here:
# http://www.r-bloggers.com/five-ways-to-visualize-your-pairwise-comparisons/
# I've updated to remove warnings and errors.

library(ggplot2)

#define a helper function (borrowed from the "ez" package)
ezLev=function(x,new_order){
	#usage: lsprocs [username]
	lsprocs(){
	uid=`id -u`
	if [ -z ${1+x} ];
	then
	uid=`id -u`
	else
	uid=`id -u $1`
	echo "uid for $1 is $uid"
	fi
	using PyPlot
	using PyCall
	@pyimport overfeat
	@pyimport scipy.ndimage as pyndimage
	@pyimport scipy.misc as pymisc

	# read image
	image = pyndimage.imread("../../samples/bee.jpg")

	# resize and crop into a 231x231 image
	# Conversion of Ceres solver curve fitting example to julia - see http://ceres-solver.org/.
	# Copyright (c) Daniel Perry 2015
	# MIT License


	function init()
	ccall((:ceres_init,"libceres"), Void, ())
	end
	init()
	# converts a .psb (photoshop photo type) to a raw image format.
	#
	# Raw format:
	# height Uint32
	# width Uint32
	# depth Uint32 (8,16,32)
	# data block Uint8, Uint16, Uint32 (depending on depth value = 8, 16, 32)


	# using file description Oct 2013 version here:
	#ifndef COMMON_KDTREE_H
	#define COMMON_KDTREE_H

	/*
	* Copyright (c) 2015 Daniel Perry
	*
	*/

	#include <vector>
	using std::vector;
	# 30D gaussian data set with the following properties:
	# anisotropic (covariance not scaled identity)
	# non-axis aligned (rotated)
	# non-centered (translated)

	n = 300
	d = 30

	Sigma = eye(d)
	Sigma[1,1] = 20
	#! /usr/bin/env python

	"""BIL parser to load elevation info from sites like
	http://earthexplorer.usgs.gov/

	Mostly based of:
	http://stevendkay.wordpress.com/2010/05/29/parsing-usgs-bil-digital-elevation-models-in-python/

	Documentation for the format itself:
	http://webhelp.esri.com/arcgisdesktop/9.2/index.cfm?TopicName=BIL,_BIP,_and_BSQ_raster_files
	<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
	<modelVersion>4.0.0</modelVersion>
	<groupId>dataproj.maven</groupId>
	<artifactId>running-lucene-with-maven</artifactId>
	<packaging>war</packaging>
	<version>0.1</version>
	<profiles>
	<!-- Add profile configuration here -->
	</profiles>
	# originally from:
	# http://groups.google.com/group/ggplot2/attach/6bf632a9718dddd6/ggcorplot.R?part=2
	# linked to from here:
	# http://www.r-bloggers.com/five-ways-to-visualize-your-pairwise-comparisons/
	# I've updated to remove warnings and errors.

	library(ggplot2)

	#define a helper function (borrowed from the "ez" package)
	ezLev=function(x,new_order){