dataset

问题 machine learning is done using KDD cup dataset and formed a trained dataset.. Now I have to check the real time request with the trained dataset.. for that I have to convert TCP dump data/or http request to KDD CUP data set format(with 41 parameters) MY QUESTION IS "HOW CAN I DO THIS CONVERSION ??" 回答1: IIRC the process of how the feature of the flawed KDD CUP data set were exactly derived is not well documented. But it does not reflect real attacks anyway . Running it on recent data does not

问题 machine learning is done using KDD cup dataset and formed a trained dataset.. Now I have to check the real time request with the trained dataset.. for that I have to convert TCP dump data/or http request to KDD CUP data set format(with 41 parameters) MY QUESTION IS "HOW CAN I DO THIS CONVERSION ??" 回答1: IIRC the process of how the feature of the flawed KDD CUP data set were exactly derived is not well documented. But it does not reflect real attacks anyway . Running it on recent data does not

问题 i have a scenario, my stored procedure (sp1) takes the input from the webpage and returns some results. For example, if sp1 returns 10 records, we have "id" column in each record and we need to pass that "id" column value to another two stored procedures(ex: sp2, sp3) and display all the results(from sp1, sp2, sp3) associated to record1at the beginning of page and record2 all details after that and so on.. Output on web page should look like: Record1 details Sp2 Output(record1) sp3 Output

问题 That is a long question I know, but bear with me. I have a dataset in this form: head(TRAINSET) X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 Y 1 -2.973012 -2.956570 -2.386837 -0.5861751 4e-04 0.44 0.0728 0.0307 0.0354 0.0078 0.0047 0.0100 -0.0022 0.0038 -0.005200012 2 -2.937649 -2.958624 -2.373960 -0.5636891 5e-04 0.44 0.0718 0.0323 0.0351 0.0075 0.0028 0.0095 -0.0019 0.0000 0.042085781 3 -2.984238 -2.937649 -2.428712 -0.5555258 2e-04 0.43 0.0728 0.0329 0.0347 0.0088 0.0018 0.0092 -0.0019

问题 id date temp prcp 1 2015-01-01 -27.18 0 1 2015-01-02 -25.9 1.03 1 2015-01-03 -17.89 9.44 1 2015-01-04 -17.89 9.44 1 2015-01-05 -17.89 9.44 import dataset import pandas as pd db = dataset.connect(path_to_database_on_AWS) res = db.query(SELECT * FROM tbl WHERE id=1 and date >= '2015-01-03' and date <= '2015-01-05') pd.read_sql(res, con=db) In the above code, I am using the query method from the python dataset library to read in from a table and then want to export the results as a pandas

问题 Duplicate of : What’s the simplest way to import a System.Data.DataSet into Excel? Using c# under VS2008, we can create an excel app, workbook, and then worksheet fine by doing this: Application excelApp = new Application(); Workbook excelWb = excelApp.Workbooks.Add(template); Worksheet excelWs = (Worksheet)this.Application.ActiveSheet; Then we can access each cell by "excelWs.Cells[i,j]" and write/save without problems. However with large numbers of rows/columns, we are expecting a loss in

问题 I'll try to explain. I want to track dirty records in my dataset row that is bound to controls on window (wpf). It works fine. Lets say i begin to edit some textbox that is bound to dataTable in that dataSet. After i add one character to textbox, dataset is marked dirty. But if I delete that character again ( restore original value ), dataset is still dirty. I want after i restore original value to dataSet become not dirty, because in reallity it isn't dirty any more. Is there any method i

问题 I have the following code to get the get the relationship between the tables in the same dataset , but when run the following code i encounter with error saying , these columns currently dont have unique values DataResultSetDataSet dataset = resultSet as DataResultSetDataSet; System.Data.DataSet menuDataSet = new System.Data.DataSet(); menuDataSet = dataset.Set; menuDataSet.DataSetName = "Menus"; menuDataSet.Tables[0].TableName = "Menu"; DataRelation relation = new DataRelation("ParentChild",

问题 I'm pretty close to finishing this R program, but the result keeps giving me NaN. It's supposed to find the nitrate or sulfate mean across a bunch of csv files. Would anyone know where the code might be going wrong? Below is the program description. It seems pretty self explanatory, it's just I'm somewhat stumped. If you need anymore details please let me know. Thanks pollutantmean <- function(directory, pollutant, id = 1:332) { ## 'directory' is a character vector of length 1 indicating ##

问题 I'm at very beginning with R programming. I'm using RStudio for an exam, and I have to represent graphically the results of some calculations on a dataset. I have a structure like that: and what I was thinking to do was make some histograms with the 3 values of the mean for each row, and the same for median and trimmed mean. First question: Is this a correct way to represent this kind of data graphically? Or there are some better plot. Second question: Could someone give me the code to draw a