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/**
* Copyright (c) 2015, Jozef Stefan Institute, Quintelligence d.o.o. and contributors
* All rights reserved.
*
* This source code is licensed under the FreeBSD license found in the
* LICENSE file in the root directory of this source tree.
*/
console.log(__filename)
var assert = require('../../src/nodejs/scripts/assert.js'); //adds assert.run function
var qm = require('qminer');
var fs = qm.fs;
describe('Feature Space Tests, old', function() {
var base = undefined;
beforeEach(function() {
qm.delLock();
var backward = require('../../src/nodejs/scripts/backward.js');
backward.addToProcess(process); // adds process.isArg function
base = new qm.Base({ mode: "createClean" });
});
afterEach(function() {
base.close();
});
it('should survive', function() {
// only report failours
/**
* Copyright (c) 2015, Jozef Stefan Institute, Quintelligence d.o.o. and contributors
* All rights reserved.
*
* This source code is licensed under the FreeBSD license found in the
* LICENSE file in the root directory of this source tree.
*/
// console.log(__filename)
var assert = require('../../src/nodejs/scripts/assert.js'); //adds assert.run function
var qm = require('qminer');
var fs = qm.fs;
//////////////////////////////////////////////////////////////////////////////////////
// Store creation
var store_name = "test_store";
function GetStoreTemplate(field_type) {
var res = {
"name": store_name,
"fields": [
{ "name": "name", "type": "string", "primary": true },
{ "name": "val", "type": "XXXXXXX" }
],
"keys": [
{ "field": "val", "type": "linear" }
]
};
it("should make test number 1", function () {
// import module
var fs = require('qminer').fs;
// open file in write mode
var fout = fs.openWrite('file.txt');
// write sync and close
fout.writeLine('example text');
fout.close();
// open file in read mode
var fin = fs.openRead('file.txt');
// read a line
var str = fin.readLine();
});
});
it("should make test number 28", function () {
// import the modules
var fs = require('qminer').fs;
var la = require('qminer').la;
// create new matrix
var mat = new la.Matrix([[1, 2], [3, 4]]);
// open write stream
var fout = fs.openWrite('mat.dat');
// save matrix and close write stream
mat.save(fout).close();
});
});
/**
* Copyright (c) 2015, Jozef Stefan Institute, Quintelligence d.o.o. and contributors
* All rights reserved.
*
* This source code is licensed under the FreeBSD license found in the
* LICENSE file in the root directory of this source tree.
*/
console.log(__filename)
var qm = require('qminer');
var fs = qm.fs;
var assert = require('assert');
var analytics = qm.analytics;
var la = qm.la;
console.log("Regression", "Starting test based on a random sample");
var dims = 10; // dimensions
var examples = 500; // examples
var X = la.randn(dims, examples);
var w = la.randn(dims);
var y = X.multiplyT(w);
// gaussian noise
var noiseSigma = 0.1;
var Ng = la.randn(dims, examples).multiply(noiseSigma);
// import modules
var qm = require('qminer');
var analytics = qm.analytics;
var fs = qm.fs;
var la = qm.la;
// create a new base containing the store
var base = new qm.Base({
mode: 'createClean',
schema: [{
name: 'Messages',
fields: [
{ name: 'Text', type: 'string' },
{ name: 'Value', type: 'float', nullable: true }
]
}]
});
// create two feature spaces, one for each field
var ftrText = new qm.FeatureSpace(base, {
type: 'text', source: 'Messages', field: 'Text', normalize: true,
weight: 'tfidf', tokenizer: { type: 'simple', stopwords: 'en' }
// Import main modules
var qm = require('qminer');
var loader = require('qminer-data-loader');
var fs = qm.fs;
var analytics = qm.analytics;
var base = new qm.Base({
mode: "createClean",
schema: [
{
"name": "Raw",
"fields": [
{ "name": "Time", "type": "datetime" },
{ "name": "Value", "type": "float" }
],
"joins": [ ],
"keys": [ ]
},
{
"name": "Resampled",
/**
* Copyright (c) 2015, Jozef Stefan Institute, Quintelligence d.o.o. and contributors
* All rights reserved.
*
* This source code is licensed under the FreeBSD license found in the
* LICENSE file in the root directory of this source tree.
*/
console.log(__filename)
var assert = require('assert');
var analytics = require('qminer').analytics;
var la = require('qminer').la;
var fs = require('qminer').fs;
var vec = new la.Vector({vals:4});
var mat = new la.Matrix({rows:2, cols:4});
var vec = new la.Vector({vals:4});
var mat = new la.Matrix({rows:2, cols:4});
var x = new la.Vector({vals:2});
var SVC = new analytics.SVC({verbose:false});
SVC.fit(mat,vec);
SVC.save(fs.openWrite('svc.bin')).close();
var y1 = SVC.predict(x);
var SVR = new analytics.SVR({verbose:false});
SVR.fit(mat,vec);
exports.StrStrMap.prototype.save = function(fout) { return Object.create(require('qminer').fs.FOut.prototype); }
/**
exports.StrVector.prototype.saveascii = function (fout) { return Object.create(require('qminer').fs.FOut.prototype); }
/**