transformer

问题 I'm currently trying to get my code to call in an xml file and an xsl - then perform the transformation and output multiple outcome files depending on the xml content. import javax.xml.transform.*; import javax.xml.transform.stream.StreamResult; import javax.xml.transform.stream.StreamSource; import java.io.File; import java.io.IOException; import java.net.URISyntaxException; public class TestTransformation { public static void main(String[] args) throws TransformerException { System

问题 I would like to convert a column which contains strings like: ["ABC","def","ghi"] ["Jkl","ABC","def"] ["Xyz","ABC"] Into a encoded column like this: [1,1,1,0,0] [1,1,0,1,0] [0,1,0,0,1] Is there a class for that in pyspark.ml.feature? Edit: In the encoded column the first entry always corresponds to the value "ABC" etc. 1 means "ABC" is present while 0 means it is not present in the corresponding row. 回答1: You will have to expand the list in a single column to multiple n columns (where n is

问题 I'm trying to convert the content of an org.w3c.dom.Document object into a string. I get the Document object of the current page displayed in the JBrowser component. The most common way to convert a document dom tree into a string seems to be using a javax.xml.transform.Transformer. So I implemented this: ByteArrayOutputStream baos = new ByteArrayOutputStream(); TransformerFactory.newInstance().newTransformer().transform( new DOMSource(aDocument), new StreamResult(baos)); return baos.toString

问题 I'm trying to convert a XML org.w3c.dom.Document to a String using a Transformer: DocumentBuilderFactory factory = DocumentBuilderFactory.newInstance(); factory.setNamespaceAware(true); DocumentBuilder builder = null; try { builder = factory.newDocumentBuilder(); } catch (ParserConfigurationException e) { e.printStackTrace(); } Document doc = builder.newDocument(); Element gameNode = doc.createElement("Game"); gameNode.setAttribute("gameID", String.valueOf(game.getGameID())); gameNode

问题 It's common to add a custom dictionary to a machine translator to ensure that terminology from a specific domain is correctly translated. For example, the term server should be translated differently when the document is about data centers, vs when the document is about restaurants. With a transformer model, this is not very obvious to do, since words are not aligned 1:1. I've seen a couple of papers on this topic, but I'm not sure which would be the best one to use. What are the best

问题 I am trying to load data to the network, since I need a custom data input (3 tops: 1 for data image, 2 for different labels) I load the data with HD5F files. It looks similar to this: layer { name: "data" type: "HDF5Data" top: "img" top: "alabels" top: "blabels" include { phase: TRAIN } hdf5_data_param { source: "path_to_caffe/examples/hdf5_classification/data/train.txt" batch_size: 64 } } I want to preprocess the images using Caffe's own Transformer (for standard), how can I do this when I

问题 I'm writing an XML file, and the tabbing is coming out slightly wrong : <BusinessEvents> <MailEvent> <to>Wellington</to> <weight>10.0</weight> <priority>air priority</priority> <volume>10.0</volume> <from>Christchurch</from> <day>Mon May 20 14:30:08 NZST 2013</day> <PPW>8.0</PPW> <PPV>2.5</PPV> </MailEvent> <DiscontinueEvent> <to>Wellington</to> <priority>air priority</priority> <company>Kiwi Co</company> <from>Sydney</from> </DiscontinueEvent> <RoutePriceUpdateEvent> <weightcost>3.0<

问题 I would like to copy multiple XML nodes from a source XML file to a target file. Both source and target files are very large, so I will use StAX. Typically the file I'm trying to process looks as follows: <root> <header> <title>A List of persons</title> </header> <person> <name>Joe</name> <surname>Bloggs</surname> </person> <person> <name>John</name> <surname>Doe</surname> </person> . . etc... </root> The target files should be in the following format: <root> <header> <title>A List of persons

问题 BERT output is not deterministic. I expect the output values are deterministic when I put a same input, but my bert model the values are changing. Sounds awkwardly, the same value is returned twice, once. That is, once another value comes out, the same value comes out and it repeats. How I can make the output deterministic? let me show snippets of my code. I use the model as below. For the BERT implementation, I use huggingface implemented BERT pytorch implementation. which is quite fameous

问题 I;m using XPath to parse XML document returned by a URL, when i run my code with given inputs it works but when giving it inputs as a user input it throws an exception. The Code: class{ private String generalQuery = "//@*"; method(){ System.out.println("Enter URL"); url = scan.nextLine(); URL oracle = new URL(url); InputStream is = oracle.openStream(); org.w3c.dom.Document doc = null; DocumentBuilderFactory domFactory; DocumentBuilder builder; try { domFactory = DocumentBuilderFactory