dataset

问题 I have a dataset I created from a Oracle Query. I get a datatable from a function and add it to dataset. now I try to bind to treeview to the ds. My code Behind: private void init_TreeView() { //TreeViewItem parent = PM_TreeView.Items.Add("Requirements"); DataTable dt = DataBases.RunQuery(); dt.TableName = "REQ"; DataSet ds = new DataSet(); ds.Tables.Add(dt); //ds.Relations.Add("rsParentChild", ds.Tables["REQ"].Columns["RQ_REQ_ID"], ds.Tables["REQ"].Columns["RQ_FATHER_ID"]); var dataSet = ds;

问题 [EDIT] Based on this example, I am now able to collect data and display it in a chart. I don't know exactly how to integrate that code that generates the chart into my application. /** @see http://stackoverflow.com/questions/5048852 */ public class Atol extends ApplicationFrame { private static final String TITLE = "Dynamic Series"; private static final String START = "Start"; private static final String STOP = "Stop"; private static final float MINMAX = 100; private static final int COUNT =

问题 Just having some problems running a simulation on some weather data in Python. The data was supplied in a .tif format, so I used the following code to try to open the image to extract the data into a numpy array. from PIL import Image im = Image.open('jan.tif') But when I run this code I get the following error: PIL.Image.DecompressionBombError: Image size (933120000 pixels) exceeds limit of 178956970 pixels, could be decompression bomb DOS attack. It looks like this is just some kind of

问题 I get my data from SQL to Dataset with Fill. It's just one table with two columns (CategoryId (int) and CategoryName (varchar)). When I look at my dataset after fill method, CategoryId Columns seems to be correct. But in the CategoryName I have a System.Data.StrongTypingExceptio n. What could that mean? Any Ideas? 回答1: When you get the value of a row/column in a typed dataset, by default it raises this exception when the value is DBNull. So string x = Row.CategoryName;//Raises this exception

问题 I get my data from SQL to Dataset with Fill. It's just one table with two columns (CategoryId (int) and CategoryName (varchar)). When I look at my dataset after fill method, CategoryId Columns seems to be correct. But in the CategoryName I have a System.Data.StrongTypingExceptio n. What could that mean? Any Ideas? 回答1: When you get the value of a row/column in a typed dataset, by default it raises this exception when the value is DBNull. So string x = Row.CategoryName;//Raises this exception

问题 Will it be a good idea to exclude the noisy data ( which may reduce model accuracy or cause unexpected output for testing dataset) from a dataset to generate the training and validation dataset ? Assumption: Noisy data is pre-known to us Any suggestion is deeply appreciated! 回答1: It depends on your application. If the noisy data is valid , then definitely include it to find the best model. However, if the noisy data is invalid , then it should be cleaned out before fitting your model. Noise

问题 I am very new in Matlab and that too in Neural network.. I have 4*81 input dataset and 1*81 output/target dataset. 'divideblock' or 'dividerand' randomly split the dataset into training , validation and testing . My question is that... After training and simulation... how to trace the individual input dataset(training, testing, validation) which are used to train the network. so that i can able to find the error of the input dataset for testing, validation individually.. thanks in advance for

问题 I am making an application in which I need to show in a chart the real time of capturing a certain data And it "works" except that it doesn’t keep up with the real time, it keeps counting as if time has passed! I know that it is possibly linked to this dataset.advanceTime () but without it the graph becomes static and does not advance any more even if the real time passes package com.mycompany.moveplus; import java.awt.BorderLayout; import java.awt.Color; import java.awt.EventQueue; import

问题 I am training a LSTM in-order to classify the time-series data into 2 classes(0 and 1).I have huge data-set on the drive where where the 0-class and the 1-class data are located in different folders.I am trying to train the LSTM batch-wise using by creating a Dataset class and wrapping the DataLoader around it. I have to do pre-processing such as reshaping.Here's my code which does that ` class LoadingDataset(Dataset): def __init__(self,data_root1,data_root2,file_name): self.data_root1=data

问题 I am doing this in Scala and Spark. I have and Dataset of Tuple2 as Dataset[(String, Map[String, String])] . Below is and example of the values in the Dataset . (A, {1->100, 2->200, 3->100}) (B, {1->400, 4->300, 5->900}) (C, {6->100, 4->200, 5->100}) (B, {1->500, 9->300, 11->900}) (C, {7->100, 8->200, 5->800}) If you notice, the key or first element of the Tuple can be repeated. Also, the corresponding map of the same Tuples' key can have duplicate keys in the map (second part of Tuple2). I