dataset

问题 I have a dataset with multiple tables. I can obviously do a Dataset.WriteToXML("Somefile.xml") What if I want to export the dataset to a SQLite formatted file. In other words I want to be able to write (i.e. serialize) the contents of the dataset to a SQLite file. Dataset.SerializeToSQLite("Sqliteformatted.bin") Similarly I want to be able to read the SQLite file into a Dataset. I would like to do this in c#. Thanks in advance to any pointers. Bob 回答1: SQLite is not a file format, it's a

问题 I need to insert the dataset records(C#) into the MS Accessdatabase table. I need to do the bulk insertion of records. How can I do this in C# 回答1: For this sort of task, consider using the data adapter abstraction. With an Microsoft Access database, you can use the OleDbDataAdapter implementation as shown in the example below: // Prerequisite: The data to be inserted is available in a DataTable/DataSet. var data = new DataTable(); data.Columns.Add("CompanyName", typeof(string)); data.Columns

问题 I'm looking for an equivalent of @describeIn that will allow me to create a single documentation object for multiple R data objects. I had hoped that something like this: #' Tree Distances #' #' These datasets contain the distances between sets #' of 10-tip, 11-tip and 12-tip trees. #' #' @name treeDistances #' @keywords datasets "treeDistances10" "treeDistances11" "treeDistances12" would produce a single manual page that would apply to all three treeDistances## objects, similar to describing

问题 I am using Credit card data for oversampling using SMOTE. I am using the code written in geeksforgeeks.org (Link) After running the following code, it states something like that: print("Before OverSampling, counts of label '1': {}".format(sum(y_train == 1))) print("Before OverSampling, counts of label '0': {} \n".format(sum(y_train == 0))) # import SMOTE module from imblearn library # pip install imblearn (if you don't have imblearn in your system) from imblearn.over_sampling import SMOTE sm

问题 I am experiencing a problem where finetuning the hyperparameters using GridSearchCV doesn't really improve my classifiers. I figured the improvement should be bigger than that. The biggest improvement for a classifier I've gotten with my current code is around +-0.03. I have a dataset with eight columns and an unbalanced binary outcome. For scoring I use f1 and I use KFold with 10 splits. I was hoping if someone could spot something which is off and I should look at? Thank you! I use the

问题 In Java (not Scala!) Spark 3.0.1 have a JavaRDD instance object neighborIdsRDD which its type is JavaRDD<Tuple2<Object, long[]>> . Part of my code related to the generation of the JavaRDD is the following: GraphOps<String, String> graphOps = new GraphOps<>(graph, stringTag, stringTag); JavaRDD<Tuple2<Object, long[]>> neighborIdsRDD = graphOps.collectNeighborIds(EdgeDirection.Either()).toJavaRDD(); I have had to get a JavaRDD using toJavaRDD() because collectNeighborIds returns a org.apache

问题 I am trying to read a 3GB XML file through a URl and store all the jobs in dataset. XML looks like this: <?xml version="1.0"?> <feed total="1621473"> <job> <title><![CDATA[Certified Medical Assistant]]></title> <date>2016-03-25 14:19:38</date> <referencenumber>2089677765</referencenumber> <url><![CDATA[http://www.jobs2careers.com/click.php?id=2089677765.1347]]></url> <company><![CDATA[Broadway Medical Clinic]]></company> <city>Portland</city> <state>OR</state> <zip>97213</zip> </job> <job>

问题 I am trying to read a 3GB XML file through a URl and store all the jobs in dataset. XML looks like this: <?xml version="1.0"?> <feed total="1621473"> <job> <title><![CDATA[Certified Medical Assistant]]></title> <date>2016-03-25 14:19:38</date> <referencenumber>2089677765</referencenumber> <url><![CDATA[http://www.jobs2careers.com/click.php?id=2089677765.1347]]></url> <company><![CDATA[Broadway Medical Clinic]]></company> <city>Portland</city> <state>OR</state> <zip>97213</zip> </job> <job>

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 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;