|Related to : An efficient way to assign user_ids to huge dataset under certain conditions|
|CountVectorizer() in scikit-learn Python gives Memory error when feeding big Dataset. Same code with Smaller dataset works fine, what am I missing?|
IIRC the max_features is only applied after the whole dictionary is
The easiest way out is to use the HashingVectorizer that does not
compute a dictionary.
You will lose the ability to get the corresponding token for a
feature, but you shouldn't run into memory issues any more.
|Checking to see if each value in one dataset is equal to ANY value in another dataset column|
You can use a sql left join to check the variables. You may need to
add conditions to either the case statement or where clause:
DO CODE=1 TO 100;
DO CODE=50 TO 150;
Create Table Check as
select a.*, case when a.code=b.code then 1
else 0 end as match
from MY_CODES a
|can't delete twice from a dataset|
Normally deleting from a collection while enumerating will throw an
Collection was modified; enumeration operation might not execute.
In this case, if the data rows haven't just been added, calling
DataRow.Delete() doesn't remove the row; it sets the RowState to
Deleted, but the row remains in the collection until you call
AcceptChanges (see the documentation for DataRow.Delete()).
|Get Inserted Row after .Net Dataset Row Added|
If the column is an identity column you can find the new ID's in the
You: "thanks. which object maintains a list of inserted rows?"
You can use DataTable.GetChanges(DataRowState.Added) to get a
DataTable with all DataRows which are going to be added. You need to
use it before AcceptChanges was called. If i remember correctly
TableAdapter.Update calls AcceptChanges at the end. The
|XmlDocument to DataSet only returning 1 Row|
The following example works for me:
Lists list = new Lists(); //SharePoint Lists SOAP service
XmlNode result = list.GetListCollection();
var ds = new DataSet("ListsResults");
using (var reader = new StringReader(result.OuterXml))
//print List Titles
foreach (DataRow row in ds.Tables.Rows)