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  • Streaming server required with JW Player?

    - by Aaron
    Currently, a site I developed plays mp3 files directly in JW Player using the file attribute and public URLs to the mp3 file. This is now an issue with the client for legal reasons, and they now need to stream the audio files so that the users can't open up their cache and nab the files directly after downloading. The JW player site has a bunch of examples for streaming video, but nothing for audio. Is it possible to stream audio files with JW player, and do we have to pay a lot of money for a streaming provider? Is it possible to do on the local php server?

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  • How can I implement a proper counter bean with EJB 3.0?

    - by Aaron Digulla
    I have this entity bean: import javax.persistence.*; @Entity public class CounterTest { private int id; private int counter; @Id public int getId() { return id; } public void setId(int id) { this.id = id; } public int getCounter() { return counter; } public void setCounter(int counter) { this.counter = counter; } } and this stateful bean to increment a counter: import java.rmi.RemoteException; import javax.ejb.*; import javax.persistence.*; @Stateful public class CounterTestBean implements CounterTestRemote { @PersistenceContext(unitName = "JavaEE") EntityManager manager; public void initDB() { CounterTest ct = new CounterTest(); ct.setNr(1); ct.setWert(1); manager.persist(ct); } public boolean testCounterWithLock() { try { CounterTest ct = manager.find(CounterTest.class, 1); manager.lock(ct, LockModeType.WRITE); int wert = ct.getWert(); ct.setWert(wert + 1); manager.flush(); return true; } catch (Throwable t) { return false; } } } When I call testCounterWithLock() from three threads 500 times each, the counter gets incremented between 13 and 1279 times. How do I fix this code so that it is incremented 1500 times?

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  • Firefox: Can I use a relative path in the BASE tag?

    - by Aaron Digulla
    I have a little web project where I have many pages and an index/ToC file. The toc file is at the root of my project in toc.html. The pages are spread over a couple of subdirectories and include the toc with an iframe. The project doesn't need a web server, so I can create the HTML in a directory and browse it in my browser. The problem is that I'm running into XSS issues when JavaScript from the toc.html wants to call a function in a page (violation of the same origin policy). So I added base tags in the header with a relative URL to the directory in which toc.html. This works for Konqueror but in Firefox, I have to use absolute paths or the toc won't even display :( Here is an example: <?xml version='1.0' encoding='utf-8' ?> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <base href="../" target="_top" /> <title>Project 1</title> </head> <body> <iframe class="toc" frameborder="0" src="toc.html"> </iframe> </body> </html> This is file is in a subdirectory page. Firefox won't even load it, saying that it can't find page/toc.html. Is there a workaround? I would really like to avoid absolute paths in my export to keep it the same everywhere (locally and when I upload it on the web server later).

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  • PyML 0.7.2 - How to prevent accuracy from dropping after storing/loading a classifier?

    - by Michael Aaron Safyan
    This is a followup from "Save PyML.classifiers.multi.OneAgainstRest(SVM()) object?". The solution to that question was close, but not quite right, (the SparseDataSet is broken, so attempting to save/load with that dataset container type will fail, no matter what. Also, PyML is inconsistent in terms of whether labels should be numbers or strings... it turns out that the oneAgainstRest function is actually not good enough, because the labels need to be strings and simultaneously convertible to floats, because there are places where it is assumed to be a string and elsewhere converted to float) and so after a great deal of hacking and such I was finally able to figure out a way to save and load my multi-class classifier without it blowing up with an error.... however, although it is no longer giving me an error message, it is still not quite right as the accuracy of the classifier drops significantly when it is saved and then reloaded (so I'm still missing a piece of the puzzle). I am currently using the following custom mutli-class classifier for training, saving, and loading: class SVM(object): def __init__(self,features_or_filename,labels=None,kernel=None): if isinstance(features_or_filename,str): filename=features_or_filename; if labels!=None: raise ValueError,"Labels must be None if loading from a file."; with open(os.path.join(filename,"uniquelabels.list"),"rb") as uniquelabelsfile: self.uniquelabels=sorted(list(set(pickle.load(uniquelabelsfile)))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; self.classifiers=[]; for classidx, classname in enumerate(self.uniquelabels): self.classifiers.append(PyML.classifiers.svm.loadSVM(os.path.join(filename,str(classname)+".pyml.svm"),datasetClass = PyML.VectorDataSet)); else: features=features_or_filename; if labels==None: raise ValueError,"Labels must not be None when training."; self.uniquelabels=sorted(list(set(labels))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; points = [[float(xij) for xij in xi] for xi in features]; self.classifiers=[PyML.SVM(kernel) for label in self.uniquelabels]; for i in xrange(len(self.uniquelabels)): currentlabel=self.uniquelabels[i]; currentlabels=['+1' if k==currentlabel else '-1' for k in labels]; currentdataset=PyML.VectorDataSet(points,L=currentlabels,positiveClass='+1'); self.classifiers[i].train(currentdataset,saveSpace=False); def accuracy(self,pts,labels): logger=logging.getLogger("ml"); correct=0; total=0; classindexes=[self.labeltoindex[label] for label in labels]; h=self.hypotheses(pts); for idx in xrange(len(pts)): if h[idx]==classindexes[idx]: logger.info("RIGHT: Actual \"%s\" == Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])); correct+=1; else: logger.info("WRONG: Actual \"%s\" != Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])) total+=1; return float(correct)/float(total); def prediction(self,pt): h=self.hypothesis(pt); if h!=None: return self.uniquelabels[h]; return h; def predictions(self,pts): h=self.hypotheses(self,pts); return [self.uniquelabels[x] if x!=None else None for x in h]; def hypothesis(self,pt): bestvalue=None; bestclass=None; dataset=PyML.VectorDataSet([pt]); for classidx, classifier in enumerate(self.classifiers): val=classifier.decisionFunc(dataset,0); if (bestvalue==None) or (val>bestvalue): bestvalue=val; bestclass=classidx; return bestclass; def hypotheses(self,pts): bestvalues=[None for pt in pts]; bestclasses=[None for pt in pts]; dataset=PyML.VectorDataSet(pts); for classidx, classifier in enumerate(self.classifiers): for ptidx in xrange(len(pts)): val=classifier.decisionFunc(dataset,ptidx); if (bestvalues[ptidx]==None) or (val>bestvalues[ptidx]): bestvalues[ptidx]=val; bestclasses[ptidx]=classidx; return bestclasses; def save(self,filename): if not os.path.exists(filename): os.makedirs(filename); with open(os.path.join(filename,"uniquelabels.list"),"wb") as uniquelabelsfile: pickle.dump(self.uniquelabels,uniquelabelsfile,pickle.HIGHEST_PROTOCOL); for classidx, classname in enumerate(self.uniquelabels): self.classifiers[classidx].save(os.path.join(filename,str(classname)+".pyml.svm")); I am using the latest version of PyML (0.7.2, although PyML.__version__ is 0.7.0). When I construct the classifier with a training dataset, the reported accuracy is ~0.87. When I then save it and reload it, the accuracy is less than 0.001. So, there is something here that I am clearly not persisting correctly, although what that may be is completely non-obvious to me. Would you happen to know what that is?

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  • cakephp secure link using html helper link method..

    - by Aaron
    What's the best way in cakephp to extend the html-link function so that I can tell it to output a secure(https) link? Right now, I've added my own secure_link function to app_helpers that's basically a copy of the link function but adding a https to the beginning. But it seems like there should be a better way of overriding the html-link method so that I can specify a secure option. http://groups.google.com/group/cake-php/browse%5Fthread/thread/e801b31cd3db809a I also started a thread on the google groups and someone suggested doing something like $html->link('my account', array('base' => 'https://', 'controller' => 'users')); but I couldn't get that working. Just to add, this is what is outputted when I have the above code. <a href="/users/index/base:https:/">my account</a> I think there's a bug in the cake/libs/router.php on line 850. There's a keyword 'bare' and I think it should be 'base' Though changing it to base doesn't seem to fix it. From what I gather, it's telling it to exclude those keys that are passed in so that they don't get included as parameters. But I'm puzzled as to why it's a 'bare' keyword and the only reason I can come up with is that it's a type.

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  • Web Automation Tool

    - by Aaron
    I've realized I need a full-fledged browser automation tool for testing user interactions with our JavaScript widget library. I was using qunit, starting with unit testing and then I unwisely started incorporating more and more functional tests. That was a bad idea: trying to simulate a lot of user actions with JavaScript. The timing issues have gotten out of control and have made the suite too brittle. Now I spend more time fixing the tests, then I do developing. Is it possible to find a browser automation tool that works in: Windows XP: IE6,7,8, FF3 OSX: Safari, FF3 ? I've looked into SeleniumIDE and RC, but there seems to be some IE8 problems. I've also seen some things about Google's WebDriver, which confusingly seems to work with Selenium. Our organziation has licenses for IBM's Rational Functional Tester, but I don' think that will work on the MAC. The idea is to try to run tests on all the browsers our organization supports. Doable? Are my requirements unrealistic? Any recommendations as far as software to try? Thanks!

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  • AJAX ModalPopup Pops Behind (Under) Page Content (Negative z-index)

    - by Aaron Hoffman
    I am having an issue with the AJAX ModalPopupExtender in version 40412 of the AJAX Control Toolkit (http://ajaxcontroltoolkit.codeplex.com/releases/view/43475). The first time the ModalPopup is made visible it works correctly. The z-index is set to 6001 (and the background Div's z-index is set to 6000) and the Popup appears above everything else. If the cancel button within the ModalPopup is clicked, it also has the correct functionality, the display is set to "none" and the ModalPopup is no longer visible. However, when the Popup is triggered again, the z-index is only set to 2000 which is still visible above everything else, but if it is canceled and triggered again it is set to -2000 which is not visible (the z-index is decreasing by 4000 each time). I'm not sure why this is happening. Any ideas how to fix it? Special circumstances: There are multiple ModalPopup's on the page. All ModalPopups are triggered in code-behind through partial-page postbacks (using the .Show() method) ModalPopupExtenders are within the same UpdatePanels that are displayed as popups

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  • Is there a way to use sharepoint as the back-end versioning and storage for my custom document manag

    - by Aaron Palmer
    I want to build a custom document management web application that ties in with sharepoint for the actual document versioning and storage. I'm hoping for something like a sharepoint widget that I can plug into my web application that would allow me to tie in with sharepoint and download documents, make edits to them, and upload them back to sharepoint, with sharepoint handling all of the versioning and storage. If WSS is the answer to this, are there licensing issues that I need to consider? Thanks.

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  • firebug saying not a function

    - by Aaron
    <script type = "text/javascript"> var First_Array = new Array(); function reset_Form2() {document.extraInfo.reset();} function showList1() {document.getElementById("favSports").style.visibility="visible";} function showList2() {document.getElementById("favSubjects").style.visibility="visible";} function hideProceed() {document.getElementById('proceed').style.visibility='hidden';} function proceedToSecond () { document.getElementById("div1").style.visibility="hidden"; document.getElementById("div2").style.visibility="visible"; document.getElementById("favSports").style.visibility="hidden"; document.getElementById("favSubjects").style.visibility="hidden"; } function backToFirst () { document.getElementById("div1").style.visibility="visible"; document.getElementById("div2").style.visibility="hidden"; document.getElementById("favSports").style.visibility="visible"; document.getElementById("favSubjects").style.visibility="visible"; } function reset_Form(){ document.personalInfo.reset(); document.getElementById("favSports").style.visibility="hidden"; document.getElementById("favSubjects").style.visibility="hidden"; } function isValidName(firstStr) { var firstPat = /^([a-zA-Z]+)$/; var matchArray = firstStr.match(firstPat); if (matchArray == null) { alert("That's a weird name, try again"); return false; } return true; } function isValidZip(zipStr) { var zipPat =/[0-9]{5}/; var matchArray = zipStr.match(zipPat); if(matchArray == null) { alert("Zip is not in valid format"); return false; } return true; } function isValidApt(aptStr) { var aptPat = /[\d]/; var matchArray = aptStr.match(aptPat); if(matchArray == null) { if (aptStr=="") { return true; } alert("Apt is not proper format"); return false; } return true; } function isValidDate(dateStr) { //requires 4 digit year: var datePat = /^(\d{1,2})(\/|-)(\d{1,2})\2(\d{4})$/; var matchArray = dateStr.match(datePat); if (matchArray == null) { alert("Date is not in a valid format."); return false; } return true; } function checkRadioFirst() { var rb = document.personalInfo.salutation; for(var i=0;i<rb.length;i++) { if(rb[i].checked) { return true; } } alert("Please specify a salutation"); return false; } function checkCheckFirst() { var rb = document.personalInfo.operatingSystems; for(var i=0;i<rb.length;i++) { if(rb[i].checked) { return true; } } alert("Please specify an operating system") ; return false; } function checkSelectFirst() { if ( document.personalInfo.sports.selectedIndex == -1) { alert ( "Please select a sport" ); return false; } return true; } function checkRadioSecond() { var rb = document.extraInfo.referral; for(var i=0;i<rb.length;i++) { if(rb[i].checked) { return true; } } alert("Please select form of referral"); return false; } function checkCheckSecond() { var rb = document.extraInfo.officeSupplies; for(var i=0;i<rb.length;i++) { if(rb[i].checked) { return true; } } alert("Please select an office supply option"); return false; } function checkSelectSecond() { if ( document.extraInfo.colorPick.selectedIndex == 0 ) { alert ( "Please select a favorite color" ); return false; } return true; } function check_Form(){ var retvalue = isValidDate(document.personalInfo.date.value); if(retvalue) { retvalue = isValidZip(document.personalInfo.zipCode.value); if(retvalue) { retvalue = isValidName(document.personalInfo.nameFirst.value); if(retvalue) { retvalue = checkRadioFirst(); if(retvalue) { retvalue = checkCheckFirst(); if(retvalue) { retvalue = checkSelectFirst(); if(retvalue) { retvalue = isValidApt(document.personalInfo.aptNum.value); if(retvalue){ document.getElementById('proceed').style.visibility='visible'; var rb = document.personalInfo.salutation; for(var i=0;i<rb.length;i++) { if(rb[i].checked) { var salForm = rb[i].value; } } var SportsOptions = ""; for(var j=0;j<document.personalInfo.sports.length;j++){ if ( document.personalInfo.sports.options[j].selected){ SportsOptions += document.personalInfo.sports.options[j].value + " "; } } var SubjectsOptions= ""; for(var k=0;k<document.personalInfo.subjects.length;k++){ if ( document.personalInfo.subjects.options[k].selected){ SubjectsOptions += document.personalInfo.subjects.options[k].value + " "; } } var osBox = document.personalInfo.operatingSystems; var OSOptions = ""; for(var y=0;y<osBox.length;y++) { if(osBox[y].checked) { OSOptions += osBox[y].value + " "; } } First_Array[0] = salForm; First_Array[1] = document.personalInfo.nameFirst.value; First_Array[2] = document.personalInfo.nameMiddle.value; First_Array[3] = document.personalInfo.nameLast.value; First_Array[4] = document.personalInfo.address.value; First_Array[5] = document.personalInfo.aptNum.value; First_Array[6] = document.personalInfo.city.value; for(var l=0; l<document.personalInfo.state.length; l++) { if (document.personalInfo.state.options[l].selected) { First_Array[7] = document.personalInfo.state[l].value; } } First_Array[8] = document.personalInfo.zipCode.value; First_Array[9] = document.personalInfo.date.value; First_Array[10] = document.personalInfo.phone.value; First_Array[11] = SportsOptions; First_Array[12] = SubjectsOptions; First_Array[13] = OSOptions; alert("Everything looks good."); document.getElementById('validityButton').style.visibility='hidden'; } } } } } } } } /*function formAction2() { var retvalue; retvalue = checkRadioSecond(); if(!retvalue) { return retvalue; } retvalue = checkCheckSecond(); if(!retvalue) { return retvalue; } return checkSelectSecond() ; } */ </script> This is just a sample of the code, there are alot more functions, but I thought the error might be related to surrounding code. I have absolutely no idea why, as I know all the surrounding functions execute, and First_Array is populated. However when I click the Proceed to Second button, the onclick attribute does not execute because Firebug says proceedToSecond is not a function button code: <input type="button" id="proceed" name="proceedToSecond" onclick="proceedToSecond();" value="Proceed to second form">

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  • Need help again altering output of script

    - by Aaron
    wget --output-document=- http://runescape.com/title.ws 2>/dev/null \ | grep PlayerCount \ | head -1l \ | sed 's/^[^>]*>//' \ | sed "s/currently.*$/$(date '+%m\/%d\/%Y %H:%m:%S')/" \ | cut -d">" -f 3,4 \ | sed 's/<\/span>//' \ | awk '{print $3, $4, $1, $2}' Will output: 03/19/2012 18:03:58 123,822 people Would anyone be able to help me rewrite this so the output looks like: 03/19/2012 18:03:58,123822,people I need it this way because when I import it into googledocs, everything with a comma gets separated. Thanks if you help!

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  • visualize irregular data in vtk

    - by aaron berry
    I have an irregular data, x dimension - 384, y dimension - 256 and z dimension 64. Now these coordinates are stored in 3 separate binary files and i have a data file having a data value for these points. I want to know, how can i represent such data to be easily visualized in vtk. Till now we were using AVS which has fld files, which can read such data easily. I dont know how to do it in vtk. Would appreciate any pointers in this direction.

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  • Free downloadable products in Magento

    - by Aaron Newton
    Hello Magento boffins. I am using Magento to build an eBooks site. For the release, we plan to have a number of free downloadable books. We were hoping that it would be possible to use the normal Magento 'catalog' functionality to add categories with products underneath. However, since these are free downloadable products, it doesn't really make sense to send users through the checkout when they try to download. Does anyone know of a way to create a free downloadable product which bypasses the checkout altogether? I have noticed that there is a 'free sample' option for downloadable products, but I would prefer not to use this if I can as I plan to use this field for its intended purpose when I add paid products.

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  • How can I get the data from an ajax request to appear inside a div?

    - by Aaron Brokmeier
    I am unable to get the data from my ajax request to appear inside <div class="l_p_i_c_w"></div>. What am I doing wrong? I know the function inside my_file.php works, because if I refresh the page, then the data shows up where it should. jQuery: $.ajax({ type: "POST", url: "my_file.php", dataType: 'html', success: function(data){ $('div#myID div.l_p_c div.l_p_i_c_w').prepend(data); } }); HTML: <div class="l_p_w" id="myID"> <div class="l_p_c"> <div class="l_p_i_c_w"> <!-- stuff, or may be empty. This is where I want my ajax data placed. --> </div> </div> </div> CSS: .l_p_w { width:740px; min-height:250px; margin:0 auto; position:relative; margin-bottom:10px; } .l_p_c { position:absolute; bottom:10px; right:10px; width:370px; top:60px; } .l_p_i_c_w { position:absolute; left:5px; top:5px; bottom:5px; right:5px; overflow-x:hidden; overflow-y:auto; }

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  • Will Apple's new "originally written in" clause affect your decision to target the iPhone?

    - by Michael Aaron Safyan
    So, you've probably heard about Apple's change to its agreement to prohibit source-to-source translation, thereby blocking translation from Flash (in CS5) and also from Android (via XMLVM). You may also have read about a response by a well-known Adobe developer, and calls to boycott development for the iPhone. Given that this audience is a better representative of the developer community than those who post comments on the NYT, Digg, and other news sites, I was wondering what your opinions were about this decision. Will any of you switch to Android from the iPhone or avoid development on the iPhone as a result of this? Since this is fairly subjective, I am making this a community wiki. Also, please, keep things civil.

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  • Creating a customized video using Flash and XML

    - by Aaron Ladage
    The problem: I have to create a Flash video (in CS3) that will query a MySQL database and display that data at certain points in the video. The bigger problem: I'm not a Flash/ActionScript developer, so this is all very foreign to me! I've divided this project into two parts: a.) dynamically generate an XML feed from the data using PHP (using an ID number passed in the URL's query string), and b.) be able to work with it in Flash. I've got the first part working, but am pretty lost in Flash. I can parse the XML, but I'm not sure how to set the data up as variables and attach it to a video's cue points. Can anyone point me in the direction of a good tutorial or offer some advice?

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  • PyML 0.7.2 - How to prevent accuracy from dropping after stroing/loading a classifier?

    - by Michael Aaron Safyan
    This is a followup from "Save PyML.classifiers.multi.OneAgainstRest(SVM()) object?". The solution to that question was close, but not quite right, (the SparseDataSet is broken, so attempting to save/load with that dataset container type will fail, no matter what. Also, PyML is inconsistent in terms of whether labels should be numbers or strings... it turns out that the oneAgainstRest function is actually not good enough, because the labels need to be strings and simultaneously convertible to floats, because there are places where it is assumed to be a string and elsewhere converted to float) and so after a great deal of hacking and such I was finally able to figure out a way to save and load my multi-class classifier without it blowing up with an error.... however, although it is no longer giving me an error message, it is still not quite right as the accuracy of the classifier drops significantly when it is saved and then reloaded (so I'm still missing a piece of the puzzle). I am currently using the following custom mutli-class classifier for training, saving, and loading: class SVM(object): def __init__(self,features_or_filename,labels=None,kernel=None): if isinstance(features_or_filename,str): filename=features_or_filename; if labels!=None: raise ValueError,"Labels must be None if loading from a file."; with open(os.path.join(filename,"uniquelabels.list"),"rb") as uniquelabelsfile: self.uniquelabels=sorted(list(set(pickle.load(uniquelabelsfile)))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; self.classifiers=[]; for classidx, classname in enumerate(self.uniquelabels): self.classifiers.append(PyML.classifiers.svm.loadSVM(os.path.join(filename,str(classname)+".pyml.svm"),datasetClass = PyML.VectorDataSet)); else: features=features_or_filename; if labels==None: raise ValueError,"Labels must not be None when training."; self.uniquelabels=sorted(list(set(labels))); self.labeltoindex={}; for idx,label in enumerate(self.uniquelabels): self.labeltoindex[label]=idx; points = [[float(xij) for xij in xi] for xi in features]; self.classifiers=[PyML.SVM(kernel) for label in self.uniquelabels]; for i in xrange(len(self.uniquelabels)): currentlabel=self.uniquelabels[i]; currentlabels=['+1' if k==currentlabel else '-1' for k in labels]; currentdataset=PyML.VectorDataSet(points,L=currentlabels,positiveClass='+1'); self.classifiers[i].train(currentdataset,saveSpace=False); def accuracy(self,pts,labels): logger=logging.getLogger("ml"); correct=0; total=0; classindexes=[self.labeltoindex[label] for label in labels]; h=self.hypotheses(pts); for idx in xrange(len(pts)): if h[idx]==classindexes[idx]: logger.info("RIGHT: Actual \"%s\" == Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])); correct+=1; else: logger.info("WRONG: Actual \"%s\" != Predicted \"%s\"" %(self.uniquelabels[ classindexes[idx] ], self.uniquelabels[ h[idx] ])) total+=1; return float(correct)/float(total); def prediction(self,pt): h=self.hypothesis(pt); if h!=None: return self.uniquelabels[h]; return h; def predictions(self,pts): h=self.hypotheses(self,pts); return [self.uniquelabels[x] if x!=None else None for x in h]; def hypothesis(self,pt): bestvalue=None; bestclass=None; dataset=PyML.VectorDataSet([pt]); for classidx, classifier in enumerate(self.classifiers): val=classifier.decisionFunc(dataset,0); if (bestvalue==None) or (val>bestvalue): bestvalue=val; bestclass=classidx; return bestclass; def hypotheses(self,pts): bestvalues=[None for pt in pts]; bestclasses=[None for pt in pts]; dataset=PyML.VectorDataSet(pts); for classidx, classifier in enumerate(self.classifiers): for ptidx in xrange(len(pts)): val=classifier.decisionFunc(dataset,ptidx); if (bestvalues[ptidx]==None) or (val>bestvalues[ptidx]): bestvalues[ptidx]=val; bestclasses[ptidx]=classidx; return bestclasses; def save(self,filename): if not os.path.exists(filename): os.makedirs(filename); with open(os.path.join(filename,"uniquelabels.list"),"wb") as uniquelabelsfile: pickle.dump(self.uniquelabels,uniquelabelsfile,pickle.HIGHEST_PROTOCOL); for classidx, classname in enumerate(self.uniquelabels): self.classifiers[classidx].save(os.path.join(filename,str(classname)+".pyml.svm")); I am using the latest version of PyML (0.7.2, although PyML.__version__ is 0.7.0). When I construct the classifier with a training dataset, the reported accuracy is ~0.87. When I then save it and reload it, the accuracy is less than 0.001. So, there is something here that I am clearly not persisting correctly, although what that may be is completely non-obvious to me. Would you happen to know what that is?

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