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  • CSS aligning side area down to the position of a footer.

    - by text
    Hi I was started designing a website using tableless. I was able to create and happy with the result, but in some point I'm having problem positioning some elements. see sample illustration here: http://christianruado.comuf.com/images/demo.jpg The right side which is green contains two elements the top and the bottom, my problem was how can set the height of the green container to always align with the footer? I want to align the bottom part to be aligned with the footer regardless the content of the center container?

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  • Jquery AJAX: How to display the Flash error message when validation on the server side fails?

    - by Shripad K
    I am using the Jquery form plugin to submit the form via ajax. I have set up validations on the server side in my models. Now when the validation fails i want to display the same flash[:error] message to the user using ajax. If the validation succeeds I can display the flash[:notice] as it is available after the request is completed. How do i go about displaying flash[:error]?

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  • How to create a status bar icon on the right side? (Android)

    - by yuku
    Notification and NotificationManager are used to create icons to be placed on the top-left position of the screen. A Notification also need to have an entry on the status bar pull-down. However, icons on the right side such as the battery, signal strength, wireless indicators do not need any entry on the status bar. How do I make such icons without any entry in the status bar pull-down?

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  • Hot to implement grails server-side-triggered dialog, or how to break out of update region after AJA

    - by werner5471
    In grails, I use the mechanism below in order to implement what I'd call a conditional server-side-triggered dialog: When a form is submitted, data must first be processed by a controller. Based on the outcome, there must either be a) a modal Yes/No confirmation in front of the "old" screen or b) a redirect to a new controller/view replacing the "old" screen (no confirmation required). So here's my current approach: In the originating view, I have a <g:formRemote name="requestForm" url="[controller:'test', action:'testRequest']", update:"dummyRegion"> and a <span id="dummyRegion"> which is hidden by CSS When submitting the form, the test controller checks if a confirmation is necessary and if so, renders a template with a yui-based dialog including Yes No buttons in front of the old screen (which works fine because the dialog "comes from" the dummyRegion, not overwriting the page). When Yes is pressed, the right other controller & action is called and the old screen is replaced, if No is pressed, the dialog is cancelled and the "old" screen is shown again without the dialog. Works well until here. When submitting the form and test controller sees that NO confirmation is necessary, I would usually directly redirect to the right other controller & action. But the problem is that the corresponding view of that controller does not appear because it is rendered in the invisble dummyRegion as well. So I currently use a GSP template including a javascript redirect which I render instead. However a javascript redirect is often not allowed by the browser and I think it's not a clean solution. So (finally ;-) my question is: How do I get a controller redirect to cause the corresponding view to "break out" of my AJAX dummyRegion, replacing the whole screen again? Or: Do you have a better approach for what I have in mind? But please note that I cannot check on the client side whether the confirmation is necessary, there needs to be a server call! Also I'd like to avoid that the whole page has to be refreshed just for the confirmation dialog to pop up (which would also be possible without AJAX). Thanks for any hints!

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  • Flex 4: use google APIs in RIA without server side code?

    - by grapkulec
    Just to confirm what I think I understand from reading about use of google APIs in RIAs (FLEX 4 and ActionScript) there is no way to connect to blogger API for example, directly from RIA because of google's crossdomain.xml file, right? So if I want to use their APIs to get some data like content of my mailbox or list of posts on my blog I have to have some code running server side and RIA would just use that code as httpservice to collect data from google? Or maybe I got it completly wrong?

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  • Flash Browser? Flash Server Side?

    - by Abs
    Hello all, I have two noobish questions about Flash, Actionscript, Flex etc. 1) With these technologies is it possible to create a simple web browser that can render websites? 2) Is it possible to run these technologies on the server side? I am guessing no as Flash requires a browser to run within? Thanks all for any help

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  • can we use jquery for client side validation of a custom validation control?

    - by Mac
    There are two textboxes one for email and other one for phone i have used one custom validation control so that user have to fill any one of textboxes for client side i used javascript function ValidatePhoneEmail(source, args) { var tboxEmail = document.getElementById('<%= tboxEmail.ClientID %>'); var tboxPhone = document.getElementById('<%= tboxPhone.ClientID %>'); if (tboxEmail.value.trim() != '' || tboxPhone.value.trim() != '') { args.IsValid = true; } else { args.IsValid = false; } } how to achieve same result using jquery

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  • OWB 11gR2 - Early Arriving Facts

    - by Dawei Sun
    A common challenge when building ETL components for a data warehouse is how to handle early arriving facts. OWB 11gR2 introduced a new feature to address this for dimensional objects entitled Orphan Management. An orphan record is one that does not have a corresponding existing parent record. Orphan management automates the process of handling source rows that do not meet the requirements necessary to form a valid dimension or cube record. In this article, a simple example will be provided to show you how to use Orphan Management in OWB. We first import a sample MDL file that contains all the objects we need. Then we take some time to examine all the objects. After that, we prepare the source data, deploy the target table and dimension/cube loading map. Finally, we run the loading maps, and check the data in target dimension/cube tables. OK, let’s start… 1. Import MDL file and examine sample project First, download zip file from here, which includes a MDL file and three source data files. Then we open OWB design center, import orphan_management.mdl by using the menu File->Import->Warehouse Builder Metadata. Now we have several objects in BI_DEMO project as below: Mapping LOAD_CHANNELS_OM: The mapping for dimension loading. Mapping LOAD_SALES_OM: The mapping for cube loading. Dimension CHANNELS_OM: The dimension that contains channels data. Cube SALES_OM: The cube that contains sales data. Table CHANNELS_OM: The star implementation table of dimension CHANNELS_OM. Table SALES_OM: The star implementation table of cube SALES_OM. Table SRC_CHANNELS: The source table of channels data, that will be loaded into dimension CHANNELS_OM. Table SRC_ORDERS and SRC_ORDER_ITEMS: The source tables of sales data that will be loaded into cube SALES_OM. Sequence CLASS_OM_DIM_SEQ: The sequence used for loading dimension CHANNELS_OM. Dimension CHANNELS_OM This dimension has a hierarchy with three levels: TOTAL, CLASS and CHANNEL. Each level has three attributes: ID (surrogate key), NAME and SOURCE_ID (business key). It has a standard star implementation. The orphan management policy and the default parent setting are shown in the following screenshots: The orphan management policy options that you can set for loading are: Reject Orphan: The record is not inserted. Default Parent: You can specify a default parent record. This default record is used as the parent record for any record that does not have an existing parent record. If the default parent record does not exist, Warehouse Builder creates the default parent record. You specify the attribute values of the default parent record at the time of defining the dimensional object. If any ancestor of the default parent does not exist, Warehouse Builder also creates this record. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. While removing data from a dimension, you can select one of the following orphan management policies: Reject Removal: Warehouse Builder does not allow you to delete the record if it has existing child records. No Maintenance: This is the default behavior. Warehouse Builder does not actively detect, reject, or fix orphan records. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#insertedID1) Cube SALES_OM This cube is references to dimension CHANNELS_OM. It has three measures: AMOUNT, QUANTITY and COST. The orphan management policy setting are shown as following screenshot: The orphan management policy options that you can set for loading are: No Maintenance: Warehouse Builder does not actively detect, reject, or fix orphan rows. Default Dimension Record: Warehouse Builder assigns a default dimension record for any row that has an invalid or null dimension key value. Use the Settings button to define the default parent row. Reject Orphan: Warehouse Builder does not insert the row if it does not have an existing dimension record. (More details are at http://download.oracle.com/docs/cd/E11882_01/owb.112/e10935/dim_objects.htm#BABEACDG) Mapping LOAD_CHANNELS_OM This mapping loads source data from table SRC_CHANNELS to dimension CHANNELS_OM. The operator CHANNELS_IN is bound to table SRC_CHANNELS; CHANNELS_OUT is bound to dimension CHANNELS_OM. The TOTALS operator is used for generating a constant value for the top level in the dimension. The CLASS_FILTER operator is used to filter out the “invalid” class name, so then we can see what will happen when those channel records with an “invalid” parent are loading into dimension. Some properties of the dimension operator in this mapping are important to orphan management. See the screenshot below: Create Default Level Records: If YES, then default level records will be created. This property must be set to YES for dimensions and cubes if one of their orphan management policies is “Default Parent” or “Default Dimension Record”. This property is set to NO by default, so the user may need to set this to YES manually. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the dimension editor. The values are set to the same as the dimension value when user drops the dimension into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the dimension. REMOVE Orphan Policy: This property is used when removing data from a dimension. Since the dimension loading type is set to LOAD in this example, this property is disabled. Mapping LOAD_SALES_OM This mapping loads source data from table SRC_ORDERS and SRC_ORDER_ITEMS to cube SALES_OM. This mapping seems a little bit complicated, but operators in the red rectangle are used to filter out and generate the records with “invalid” or “null” dimension keys. Some properties of the cube operator in a mapping are important to orphan management. See the screenshot below: Enable Source Aggregation: Should be checked in this example. If the default dimension record orphan policy is set for the cube operator, then it is recommended that source aggregation also be enabled. Otherwise, the orphan management processing may produce multiple fact rows with the same default dimension references, which will cause an “unstable rowset” execution error in the database, since the dimension refs are used as update match attributes for updating the fact table. LOAD policy for INVALID keys/ LOAD policy for NULL keys: These two properties have the same meaning as in the cube editor. The values are set to the same as in the cube editor when the user drops the cube into the mapping. The user does not need to modify these properties. Record Error Rows: If YES, error rows will be inserted into error table when loading the cube. 2. Deploy objects and mappings We now can deploy the objects. First, make sure location SALES_WH_LOCAL has been correctly configured. Then open Control Center Manager by using the menu Tools->Control Center Manager. Expand BI_DEMO->SALES_WH_LOCAL, click SALES_WH node on the project tree. We can see the following objects: Deploy all the objects in the following order: Sequence CLASS_OM_DIM_SEQ Table CHANNELS_OM, SALES_OM, SRC_CHANNELS, SRC_ORDERS, SRC_ORDER_ITEMS Dimension CHANNELS_OM Cube SALES_OM Mapping LOAD_CHANNELS_OM, LOAD_SALES_OM Note that we deployed source tables as well. Normally, we import source table from database instead of deploying them to target schema. However, in this example, we designed the source tables in OWB and deployed them to database for the purpose of this demonstration. 3. Prepare and examine source data Before running the mappings, we need to populate and examine the source data first. Run SRC_CHANNELS.sql, SRC_ORDERS.sql and SRC_ORDER_ITEMS.sql as target user. Then we check the data in these three tables. Table SRC_CHANNELS SQL> select rownum, id, class, name from src_channels; Records 1~5 are correct; they should be loaded into dimension without error. Records 6,7 and 8 have null parents; they should be loaded into dimension with a default parent value, and should be inserted into error table at the same time. Records 9, 10 and 11 have “invalid” parents; they should be rejected by dimension, and inserted into error table. Table SRC_ORDERS and SRC_ORDER_ITEMS SQL> select rownum, a.id, a.channel, b.amount, b.quantity, b.cost from src_orders a, src_order_items b where a.id = b.order_id; Record 178 has null dimension reference; it should be loaded into cube with a default dimension reference, and should be inserted into error table at the same time. Record 179 has “invalid” dimension reference; it should be rejected by cube, and inserted into error table. Other records should be aggregated and loaded into cube correctly. 4. Run the mappings and examine the target data In the Control Center Manager, expand BI_DEMO-> SALES_WH_LOCAL-> SALES_WH-> Mappings, right click on LOAD_CHANNELS_OM node, click Start. Use the same way to run mapping LOAD_SALES_OM. When they successfully finished, we can check the data in target tables. Table CHANNELS_OM SQL> select rownum, total_id, total_name, total_source_id, class_id,class_name, class_source_id, channel_id, channel_name,channel_source_id from channels_om order by abs(dimension_key); Records 1,2 and 3 are the default dimension records for the three levels. Records 8, 10 and 15 are the loaded records that originally have null parents. We see their parents name (class_name) is set to DEF_CLASS_NAME. Those records whose CHANNEL_NAME are Special_4, Special_5 and Special_6 are not loaded to this table because of the invalid parent. Error Table CHANNELS_OM_ERR SQL> select rownum, class_source_id, channel_id, channel_name,channel_source_id, err$$$_error_reason from channels_om_err order by channel_name; We can see all the record with null parent or invalid parent are inserted into this error table. Error reason is “Default parent used for record” for the first three records, and “No parent found for record” for the last three. Table SALES_OM SQL> select a.*, b.channel_name from sales_om a, channels_om b where a.channels=b.channel_id; We can see the order record with null channel_name has been loaded into target table with a default channel_name. The one with “invalid” channel_name are not loaded. Error Table SALES_OM_ERR SQL> select a.amount, a.cost, a.quantity, a.channels, b.channel_name, a.err$$$_error_reason from sales_om_err a, channels_om b where a.channels=b.channel_id(+); We can see the order records with null or invalid channel_name are inserted into error table. If the dimension reference column is null, the error reason is “Default dimension record used for fact”. If it is invalid, the error reason is “Dimension record not found for fact”. Summary In summary, this article illustrated the Orphan Management feature in OWB 11gR2. Automated orphan management policies improve ETL developer and administrator productivity by addressing an important cause of cube and dimension load failures, without requiring developers to explicitly build logic to handle these orphan rows.

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  • Error loading the report template:org.xml.sax.SAXParseException: cvc-complex-type.2.4.a: Invalid con

    - by Poonam
    hi, i'm newer in jasper reports.i've some problem when i call iReport from jsp....some error occurs at run time as like below :- Error loading the report template: org.xml.sax.SAXParseException: cvc-complex-type.2.4.a: Invalid content was found starting with element 'head'. One of '{"http://jasperreports.sourceforge.net/jasperreports":field, "http://jasperreports.sourceforge.net/jasperreports":sortField, "http://jasperreports.sourceforge.net/jasperreports":variable, "http://jasperreports.sourceforge.net/jasperreports":filterExpression, "http://jasperreports.sourceforge.net/jasperreports":group, "http://jasperreports.sourceforge.net/jasperreports":background, "http://jasperreports.sourceforge.net/jasperreports":title, "http://jasperreports.sourceforge.net/jasperreports":pageHeader, "http://jasperreports.sourceforge.net/jasperreports":columnHeader, "http://jasperreports.sourceforge.net/jasperreports":detail, "http://jasperreports.sourceforge.net/jasperreports":columnFooter, "http://jasperreports.sourceforge.net/jasperreports":pageFooter, "http://jasperreports.sourceforge.net/jasperreports":lastPageFooter, "http://jasperreports.sourceforge.net/jasperreports":summary, "http://jasperreports.sourceforge.net/jasperreports":noData}' is expected. if anypne know plz help me. & can give me answer on my email id:- [email protected] thanks in advance....

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  • jqGrid "Loading..." overlay showing "undefined" though grid is working

    - by gurun8
    I have a jqGrid that's working 100% except that it keeps displaying "undefined" in the "Loading..." overlay. I can't really figure it out. It seems like I should only get the "undefined" message if something isn't set right and the grid would cease to work. But that's not the case. scratches head I'm not really sure a code sample would help here, but if anyone would like to see a certain part of my code let me know and I'll included. Has anyone else come across this issue before? I'm probably missing something so simple and small that I can't see it. So my apologies in advance if this is a no-brainer Thanks for your help.

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  • Issue while loading a dll library file... java.lang.UnsatisfiedLinkError: Can't load library

    - by Bhaskara Krishna Mohan Potam
    Hi, While loading a dll file, I am getting the following exception: Exception in thread "main" java.lang.UnsatisfiedLinkError: Can't load library: D:\Transliteration\rlpnc-3.1.0-sdk-ia32-w32-msvc80\rlp\bin\ia32-w32-msvc80\btutiljni.dll at java.lang.ClassLoader.loadLibrary(Unknown Source) at java.lang.Runtime.load0(Unknown Source) at java.lang.System.load(Unknown Source) at com.basistech.util.internal.Native.bootstrapUtilitiesJNI(Unknown Source) at com.basistech.util.internal.Native.loadLibrary(Unknown Source) at com.basistech.rnt.jni.(Unknown Source) at com.basistech.rnt.RNTEnvironment.(Unknown Source) at SampleTranslator.(TranslateNameSample.java:88) at TranslateNameSample.main(TranslateNameSample.java:62) not sure about the root cause of the issue. Can anybody help me out in resolving this issue. Thanks, Bhaskar

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  • Error "window" is not defined when loading Protovis from javax.script?

    - by Shane
    I am loading Protovis using javax.script: ScriptEngineManager factory = new ScriptEngineManager(); ScriptEngine engine = factory.getEngineByName(scriptEngine); engine.eval(new java.io.FileReader("protovis-d3.1.js")); But I get the following exception: Exception in thread "main" javax.script.ScriptException: sun.org.mozilla.javascr ipt.internal.EcmaError: ReferenceError: "window" is not defined. (<Unknown sourc e>#5033) in <Unknown source> at line number 5033 at com.sun.script.javascript.RhinoScriptEngine.eval(Unknown Source) at javax.script.AbstractScriptEngine.eval(Unknown Source) at RJScript.EvalScript(RJScript.java:20) at RJScript.main(RJScript.java:26) This same script runs from a browser. Do I need to do something so that the "window" is defined?

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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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  • jQuery Cycle Plugin: How to preload first images with a loading background gif then fade in Cycle Sl

    - by Theo Ribeiro
    Hello all, I'm struggling with this, maybe some of you can help... I have a home page slideshow with large images at www.theoribeiro.com using jQuery Cycle plugin Images are large and sometimes with slow connections (but even in fast ones) the behavior of the slideshow start is pretty ugly, showing the image all of a sudden or half-loaded. I want to make sure that at least the 2 or 3 first images are loaded before the slideshow starts and meanwhile I want to run a loading animated gif, then I want to fade in the first image. I searched a lot on the internet and on the forums and tried loads of stuff with my limited knowledge of javascript and jQuery but could't come up with a solution. Any help would be greatly appreciated!!!

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  • IWebBrowser: How to specify the encoding when loading html from a stream?

    - by Ian Boyd
    Using the concepts from the sample code provided by Microsoft for loading HTML content into an IWebBrowser from an IStream using the web browser's IPersistStreamInit interface: HRESULT LoadWebBrowserFromStream(IWebBrowser* pWebBrowser, IStream* pStream) { [snip] } How can one specify the encoding of the html inside the IStream? The IStream will contain a series of bytes, but the problem is what do those bytes represent? They could, for example, contain bytes where: each byte represents a character from the current Windows code-page (e.g. 1252) each byte could represent a character from the ISO-8859-1 character set the bytes could represent UTF-8 encoded characters every 2 bytes could represent a character, using UTF-16 encoding In my particular case, i am providing the IWebBrowser an IStream that contains a series of double-bytes characters (UTF-16), but the browser (incorrectly) believes that UTF-8 encoding is in effect. This results in garbled characters.

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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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