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data_util.js
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data_util.js
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////////////////////////////////////////////////////////////////////////////////////////////////
// utilities for
// loading a real number file
// loading a text file
// normalize matrix of real numbers
//
// author: yandong liu
// email: yandongl _at_ cs.cmu.edu
////////////////////////////////////////////////////////////////////////////////////////////////
'use strict';
if(typeof require === 'function') {
var fs = require('fs');
var lazy = require("lazy");
}
var util = {
normalize: function(data, nfeatures) {
for(var i=0;i<data.length;i++) {
var mean=0.0, stderr = 0.0;
for(var j=0;j<nfeatures;j++) {
mean += data[i][j];
}
mean/=nfeatures;
for(var j=0;j<nfeatures;j++) {
var a = data[i][j]-mean;
stderr += a*a;
}
stderr = Math.sqrt(stderr/nfeatures);
for(var j=0;j<nfeatures;j++) {
data[i][j] -= mean;
data[i][j] /=stderr;
}
}
},
loadTextFile: function(fn, cb) {
var data=[];
var header = true;
var targets=[];
var label_col = -1;
var l_features_id=[];
var featuresType={};
var l_features_name=[];
var feature_name2id=[];
var s_targets={};
var l_targets=[];
var nfeatures = 0;
if (!String.prototype.trim) {
String.prototype.trim = function () {
return this.replace(/^\s+|\s+$/g, '');
};
}
new lazy(fs.createReadStream(fn))
.on('end', function() {
for(var key in s_targets) {
if (s_targets.hasOwnProperty(key)) {
l_targets.push(key);
}
}
cb({data:data, l_featuresIndex:l_features_id, nfeatures:nfeatures, targets:targets, l_targets:l_targets, ntargets:l_targets.length, featureNames:l_features_name, feature_name2id:feature_name2id, featuresType:featuresType});
})
.lines
.forEach(function(line){
if(header) {
header=false;
var aa = line.toString().split(',');
for(var i=0;i<aa.length;i++) {
aa[i] = aa[i].trim();
if (aa[i] === 'label') label_col = i;
else {
l_features_id.push(i);//id is the index in input file
l_features_name.push(aa[i]);
feature_name2id[aa[i]]=i;
}
}
//console.log('l_featuresIndex:',l_features);
//console.log('featureNames:',l_features_name);
if(label_col === -1) {
console.log('ERROR. No label column found');
process.exit(1);
}
nfeatures = l_features_id.length;
} else {
var aa = line.toString().split(',');
if (aa.length == (nfeatures+1)) {
for(var i=0;i<aa.length;i++) {
aa[i] = aa[i].trim();
}
if(aa[label_col] === 'feature_type') {
for(var i=0;i<nfeatures;i++) {
featuresType[l_features_name[i]]=aa[l_features_id[i]];//id points to index in input file
}
} else {
var dd=[];
for(var i=0;i<nfeatures;i++) {
var a = aa[l_features_id[i]];
dd.push(a);
}
s_targets[aa[label_col]]=1;
data.push(dd);
targets.push(aa[label_col]);
}
} else {
console.log('skip line:', line.toString());
}
}
});
},
loadRealFile: function(fn, cb) {
var data=[];
var header = true;
var targets=[];
var label_col = -1;
var l_features=[];
var l_features_name=[];
var s_targets={};
var l_targets=[];
var nfeatures = 0;
if (!String.prototype.trim) {
String.prototype.trim = function () {
return this.replace(/^\s+|\s+$/g, '');
};
}
new lazy(fs.createReadStream(fn))
.on('end', function() {
for(var key in s_targets) {
if (s_targets.hasOwnProperty(key)) {
l_targets.push(key);
}
}
var ntargets = l_targets.length;
cb({data:data, l_featuresIndex:l_features, nfeatures:nfeatures, targets:targets, l_targets:l_targets, ntargets:ntargets, featureNames:l_features_name});
})
.lines
.forEach(function(line){
if(header) {
header=false;
var aa = line.toString().split(',');
for(var i=0;i<aa.length;i++) {
aa[i] = aa[i].trim();
if (aa[i] === 'label') label_col = i;
else {
l_features.push(i);
l_features_name.push(aa[i]);
}
}
if(label_col === -1) {
console.log('ERROR. No label column found');
process.exit(1);
}
nfeatures = l_features.length;
} else {
var aa = line.toString().split(',');
var dd=[];
for(var i=0;i<aa.length;i++) {
aa[i] = aa[i].trim();
}
if(aa[label_col]==='feature_type') return true;
for(var i=0;i<nfeatures;i++) {
var a = parseFloat(aa[l_features[i]]);
dd.push(a||0);
}
s_targets[aa[label_col]]=1;
data.push(dd);
targets.push(aa[label_col]);
}
});
}
}
function loadString (content, cb) {
var data=[];
var header = true;
var targets=[];
var label_col = -1;
var l_features_id=[];
var l_features_name=[];
var feature_name2id=[];
var s_targets={};
var l_targets=[];
var nfeatures = 0;
var featuresType={};
var data_start_line=1;
if (!String.prototype.trim) {
String.prototype.trim = function () {
return this.replace(/^\s+|\s+$/g, '');
};
}
var lines = content.split('\n');
//header
var aa = lines[0].toString().split(',');
for(var i=0;i<aa.length;i++) {
aa[i] = aa[i].trim();
if (aa[i] === 'label') label_col = i;
else {
l_features_id.push(i);
l_features_name.push(aa[i]);
feature_name2id[aa[i]]=i;
}
}
if(label_col === -1) {
console.log('ERROR. No label column found');
return;
}
nfeatures = l_features_id.length;
aa = lines[1].toString().split(',');
if(aa[label_col].trim() === 'feature_type') {
data_start_line++;
var cnt = 0;
for(var i=0;i<aa.length;i++) {
aa[i] = aa[i].trim();
if(i!==label_col) {
featuresType[l_features_name[cnt]]=aa[i];
cnt++;
}
}
}
for(var j=data_start_line;j<lines.length;j++) {
var line = lines[j].toString();
aa = line.split(',');
if (aa.length == (nfeatures+1)) {
for(var i=0;i<aa.length;i++) {
aa[i] = aa[i].trim();
}
var dd=[];
for(var i=0;i<nfeatures;i++) {
var a = aa[l_features_id[i]];
dd.push(a);
}
s_targets[aa[label_col]]=1;
data.push(dd);
targets.push(aa[label_col]);
} else {
console.log('skip line:', line);
}
}
for(var key in s_targets) {
if (s_targets.hasOwnProperty(key)) {
l_targets.push(key);
}
}
var ntargets = l_targets.length;
cb({data:data, l_featuresIndex:l_features_id, nfeatures:nfeatures, targets:targets, l_targets:l_targets, ntargets:ntargets, featureNames:l_features_name, feature_name2id:feature_name2id, featuresType:featuresType});
}
if(typeof module !== 'undefined' && module.exports)
module.exports = util;