Java Error in discussion boards

I was trying to click the link in an online discussion board for my class, and the bottom left corner of the browser says, " void(showMessage('serve_bulletin?ARTICLE+Main+262')). And the 262 is just a number for the link. Why can't I access the link?
Jarred

The question mark (?) in the URL most likely indicates that the server is sending dynamic content. You most likely will not simply be able to look at the URL after the question mark as the interpretation will be software dependent.
- Saish
"My karma ran over your dogma." - Anon

Similar Messages

Discussion Board Error For Community Sorry Some thing went wrong can not complete this action

HI All,
we migrated the IBM community's to SharePoint 2013 using tool,I taken the back up of that community site in SharePoint and i restored it in different SharePoint2013 Environment.
When we trying to create any new discussion in Discussion Board List we are getting an error like.
Sorry Some Thing Went Wrong.
Cannot complete this action.
Please try again.
I checked with Correlation Id in logs but i am unable to find any issue,can you any one help on this,how to resolve this issue.
Thanks,
Please Help Me.

This is the error i am seeing in my log files.Can any one help on this.I already tried to take back up and restore even thought having the same problem.
runtime
tkau
Unexpected
System.Runtime.InteropServices.COMException: Cannot complete this action. Please try again. at Microsoft.SharePoint.Library.SPRequestInternalClass.AddOrUpdateItem(String bstrUrl, String
bstrListName, Boolean bAdd, Boolean bSystemUpdate, Boolean bPreserveItemVersion, Boolean bPreserveItemUIVersion, Boolean bUpdateNoVersion, Int32& plID, String& pbstrGuid, Guid pbstrNewDocId, Boolean bHasNewDocId, String bstrVersion, Object& pvarAttachmentNames,
Object& pvarAttachmentContents, Object& pvarProperties, Boolean bCheckOut, Boolean bCheckin, Boolean bUnRestrictedUpdateInProgress, Boolean bMigration, Boolean bPublish, String bstrFileName, ISP2DSafeArrayWriter pListDataValidationCallback, ISP2DSafeArrayWriter
pRestrictInsertCallback, ISP2DSafeArrayWriter pUniqueFieldCallback) at Microsoft.S...
Regards,
Phani

Sharepoint 2013 discussion board item view (flat.aspx) throws js error after being migrated from moss 2007

After preforming a migration from moss 2007 to 2013 on-prem we have noticed that html tags are showing up in the discussion board posts. I have tracked the problem down to the flat.aspx page throwing a js error.
'SPAnimationUtility' is undefined - coming from the sp.ui.discussions.js file
this is what I see on the page:
The reply and edit buttons function fine. Its just that the html is exposed.
Anyone seen this before or have a clue as to how to solve?
Thanks,
-Alex

As I remember there are a couple managed properties (metadata) that are used by the views that don't get created when you migrate a discussion board from a previous version. I don't remember the specific properties, but take a look at a new discussion
board in 2013 and compare the properties in the views and you will find them.
Paul Stork SharePoint Server MVP
Principal Architect: Blue Chip Consulting Group
Blog: http://dontpapanic.com/blog
Twitter: Follow @pstork
Please remember to mark your question as "answered" if this solves your problem.

Getting an error message when they try to log into the Discussion Board

I know this is not MacBook related, or maybe it is, since I have a MacBook. Anyway, this is the Discussion board I visit the most, so I thought I would post here.
When I try to log in to the Discussion Board, I fill in my User Name and Password and press the Log In button and then the next screen comes up with an error message. I have successfully logged in, but I am not taken back to the Discussion Board I left. This is the message:
"Error
An error has occurred. We apologize for the inconvenience.
Useful links:
* Forum Home -- browse the forums here.
* Search Forums -- visit the search page to query all forum content."
Is anyone else seeing this? If so, how do I correct it? This is happening on Safari 3 and also with Camino. Thanks.
Thom

Hi all,
just as a hint:
There is a whole Forum for things related to the Discussion Board.
See here: http://discussions.apple.com/forum.jspa?forumID=1076
As for the error you get, I get it also.
According to the a.m. Forum, Apple knows about this error and is trying to fix it.
Have Fun
Stefan

Fresh install: Discussion Board item "alert me" errors Web Parts Maintenance Page

This happens on a freshly installed Sharepoint 2013 Foundation standalone server.
I create a standard Discussion board app and add a discussion post. I enter the post, and use the "alert me" option (under the post, not in the top ribbon). I hit ok on the alert settings and get the "sorry, something went wrong"
page. Doesn't matter what user tries to use the "alert me" option, same error occurs. Doesn't matter if I create a new web application or site collection, Discussion board always does this. Just to note, even though there is an error, the alert is
still created.
An unexpected error has
occurred.
Web
Parts Maintenance Page: If you have permission, you can use this page to
temporarily close Web Parts or remove personal settings. For more information,
contact your site administrator.
Application error when access /Lists/tax discussion/Flat.aspx, Error=Value does not fall within the expected range.
at Microsoft.SharePoint.SPContentTypeId..ctor(String id)
at Microsoft.SharePoint.SPViewContext.get_FolderContentTypeId()
at Microsoft.SharePoint.WebControls.ViewSelectorMenu.AddMenuItems()
at Microsoft.SharePoint.WebControls.ToolBarMenuButton.CreateChildControls()
at Microsoft.SharePoint.WebControls.ViewSelectorMenu.CreateChildControls()
at System.Web.UI.Control.EnsureChildControls()
at Microsoft.SharePoint.WebControls.TemplateBasedControl.OnLoad(EventArgs e)
at Microsoft.SharePoint.WebControls.ToolBarMenuButton.OnLoad(EventArgs e)
at System.Web.UI.Control.LoadRecursive()
at System.Web.UI.Control.AddedControl(Control control, Int32 index)
at Microsoft.SharePoint.WebPartPages.XsltListViewWebPart.CreateChildControls()
at Microsoft.SharePoint.WebPartPages.WebPartMobileAdapter.CreateChildControls()
at System.Web.UI.Control.EnsureChildControls()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Page.ProcessRequestMain(Boolean includeStagesBeforeAsyncPoint, Boolean includeStagesAfterAsyncPoint)
System.ArgumentException: Value does not fall within the expected range.
at Microsoft.SharePoint.SPContentTypeId..ctor(String id)
at Microsoft.SharePoint.SPViewContext.get_FolderContentTypeId()
at Microsoft.SharePoint.WebControls.ViewSelectorMenu.AddMenuItems()
at Microsoft.SharePoint.WebControls.ToolBarMenuButton.CreateChildControls()
at Microsoft.SharePoint.WebControls.ViewSelectorMenu.CreateChildControls()
at System.Web.UI.Control.EnsureChildControls()
at Microsoft.SharePoint.WebControls.TemplateBasedControl.OnLoad(EventArgs e)
at Microsoft.SharePoint.WebControls.ToolBarMenuButton.OnLoad(EventArgs e)
at System.Web.UI.Control.LoadRecursive()
at System.Web.UI.Control.AddedControl(Control control, Int32 index)
at Microsoft.SharePoint.WebPartPages.XsltListViewWebPart.CreateChildControls()
at Microsoft.SharePoint.WebPartPages.WebPartMobileAdapter.CreateChildControls()
at System.Web.UI.Control.EnsureChildControls()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Control.PreRenderRecursiveInternal()
at System.Web.UI.Page.ProcessRequestMain(Boolean includeStagesBeforeAsyncPoint, Boolean includeStagesAfterAsyncPoint)

This issue is known by Microsoft but there is no ETA on a fix. My case for this issue was closed a few days ago on this problem.
Trevor Seward, MCC
Follow or contact me at...
&nbsp&nbsp
This post is my own opinion and does not necessarily reflect the opinion or view of Microsoft, its employees, or other MVPs.

Access Denied Error on replying to a discussion board Post using anonymous access in sharepoint 2013 .

Hi ,
We are facing issue while replying to a post in Discussion board using Anonymous access users in Sharepoint 2013.
WE are able to post a discussion using anonymous acess but not able to reply to the discussion post.
Steps Performed - :
1. Enabled Anonymous access at Web application Level .
2. In SiteCollection > Site Permissions > Anonymous Acess > Enable for List and Libraries .
3. Disable ViewFormPAgeLock Feature .
4 .Go to Discussion board List >Permissions > Break Inheritence .
5 . Given Add ,Edit and View item permission to anonymous users .
6 . "Create and edit all items " Discussion Board Library Advanced Settigs .Infact ,Neither option is working .
Please suggest if we are missing soming .Please help
Thanks
Mayank

Hi,
According to your post, my understanding is that when you went to the Discussion List and selected the thread then view the list in “Flat” view, the Spelling ICON was greyed out.
By design in SharePoint, when you view the list in “Flat” view, the ribbon would be as below:
Only when you add a reply and move the mouse to the content, the Spelling ICON will appear.
Best Regards,
Linda Li
Linda Li
TechNet Community Support

"One or more field types are not installed properly" when I try to add a second discussion board web part to a page

I have a SharePoint 2010 site with two discussion boards. I added one additional field to each of the boards: a lookup to another list to link the discussions to individual projects. I need 2 different boards because they have different posting permissions
(one is open to all for comments, and one is open only to the project team to post but everyone can read).
When I go to the pages for each of the discussion boards, they work fine.
But I'm putting together a page for individual projects, and want to have web parts for both discussion boards on the same page, showing the discussions related to the selected project.
I am able to add one of the discussion boards to a web part in the page, but when I add the second discussion board to the page, the new web part contains:
One or more field types are not installed properly. Go to the list settings page to delete these fields.
Correlation ID: blah blah blah
I've searched for similar postings, but mostly I see this error message related to migration from 2007 to 2010 -- this is not the case here: I created both discussion boards, and the whole site, in SP 2010. I've also found this message related
to coding errors using SPQuery. I am not doing any coding here, just using the built-in SharePoint 2010 Edit Page -> add a web part -> select the discussion list. I tried doing it from SPD with the same result.

I figured it out. I was using ?FilterField1=fieldname&FilterValue1=value on the URL to the page to pick out one project number. The web part I was trying to add was for a list that did not have that particular fieldname. I didn't realize that would matter
since I was using the Connections -> Get Filter Values From to get my filter values from the main web part, which does have that fieldname.
I added a field with that fieldname to the other list and set a workflow to copy the lookup value of the project number lookup field into the new field. Now all is working fine. Sorry for the wild geese in my original question.

Is there any way to create discussion board using JSP

Hi! i'm doing a project using jsp is there any way to create a simple discussion board like the one here? can anyone who knows pls forward some links that teaches me how to do it step by step. Thanks for your help and have a nice day :)

From the UK! -- PC Plus, August 2000 Issue:
How to build a JSP Message Board
http://www.pcplus.co.uk/media/pcplus/pdf/166/pcplus.166.progworld.java.pdf
You'll get a nice 2-page pdf file, taken directly from the magazine
--Dave

Issue After Rating setting is enabled to the Discussion Board List in SharePoint 2013.

Hi ,
We are facing issues After Rating field is added to the Discussion Board List in SharePoint 2013. We are getting below error while adding a new item or editing a new item. Did anyone got this issue earlier and any solution for this.
Ashish Kumar Baranwal

Users which were getting issues actually getting below error:
[COMException (0x81020014): One or more field types are not installed properly. Go to the list settings
page to delete these fields.<nativehr>0x81020014</nativehr><nativestack></nativestack>]
Microsoft.SharePoint.Library.SPRequestInternalClass.AddOrUpdateItem(String bstrUrl, String
bstrListName, Boolean bAdd, Boolean bSystemUpdate, Boolean bPreserveItemVersion, Boolean bPreserveItemUIVersion, Boolean bUpdateNoVersion, Int32& plID, String& pbstrGuid, Guid pbstrNewDocId, Boolean bHasNewDocId, String bstrVersion, Object& pvarAttachmentNames,
Object& pvarAttachmentContents, Object& pvarProperties, Boolean bCheckOut, Boolean bCheckin, Boolean bUnRestrictedUpdateInProgress, Boolean bMigration, Boolean bPublish, String bstrFileName, ISP2DSafeArrayWriter pListDataValidationCallback, ISP2DSafeArrayWriter
pRestrictInsertCallback, ISP2DSafeArrayWriter pUniqueFieldCallback) +0
Microsoft.SharePoint.Library.SPRequest.AddOrUpdateItem(String bstrUrl, String bstrListName,
Boolean bAdd, Boolean bSystemUpdate, Boolean bPreserveItemVersion, Boolean bPreserveItemUIVersion, Boolean bUpdateNoVersion, Int32& plID, String& pbstrGuid, Guid pbstrNewDocId, Boolean bHasNewDocId, String bstrVersion, Object& pvarAttachmentNames,
Object& pvarAttachmentContents, Object& pvarProperties, Boolean bCheckOut, Boolean bCheckin, Boolean bUnRestrictedUpdateInProgress, Boolean bMigration, Boolean bPublish, String bstrFileName, ISP2DSafeArrayWriter pListDataValidationCallback, ISP2DSafeArrayWriter
pRestrictInsertCallback, ISP2DSafeArrayWriter pUniqueFieldCallback) +565
[SPException: One or more field types are not installed properly. Go to the list settings page to delete
these fields.]
Microsoft.SharePoint.SPGlobal.HandleComException(COMException comEx) +146
Microsoft.SharePoint.Library.SPRequest.AddOrUpdateItem(String bstrUrl, String bstrListName,
Boolean bAdd, Boolean bSystemUpdate, Boolean bPreserveItemVersion, Boolean bPreserveItemUIVersion, Boolean bUpdateNoVersion, Int32& plID, String& pbstrGuid, Guid pbstrNewDocId, Boolean bHasNewDocId, String bstrVersion, Object& pvarAttachmentNames,
Object& pvarAttachmentContents, Object& pvarProperties, Boolean bCheckOut, Boolean bCheckin, Boolean bUnRestrictedUpdateInProgress, Boolean bMigration, Boolean bPublish, String bstrFil
Ashish Kumar Baranwal

Issue After Rating field is added to the Discussion Board List in SharePoint 2013

Hi ,
We are facing issues After Rating field is added to the Discussion Board List in SharePoint 2013. We are getting below error while adding a new item or editing a new item. Please help on this.
Ashish Kumar Baranwal

Users which were getting issues actually getting below error:
[COMException (0x81020014): One or more field types are not installed properly. Go to the list settings page to delete these fields.<nativehr>0x81020014</nativehr><nativestack></nativestack>]
Microsoft.SharePoint.Library.SPRequestInternalClass.AddOrUpdateItem(String bstrUrl, String bstrListName, Boolean bAdd, Boolean bSystemUpdate, Boolean bPreserveItemVersion, Boolean bPreserveItemUIVersion, Boolean bUpdateNoVersion, Int32& plID,
String& pbstrGuid, Guid pbstrNewDocId, Boolean bHasNewDocId, String bstrVersion, Object& pvarAttachmentNames, Object& pvarAttachmentContents, Object& pvarProperties, Boolean bCheckOut, Boolean bCheckin, Boolean bUnRestrictedUpdateInProgress,
Boolean bMigration, Boolean bPublish, String bstrFileName, ISP2DSafeArrayWriter pListDataValidationCallback, ISP2DSafeArrayWriter pRestrictInsertCallback, ISP2DSafeArrayWriter pUniqueFieldCallback) +0
Microsoft.SharePoint.Library.SPRequest.AddOrUpdateItem(String bstrUrl, String bstrListName, Boolean bAdd, Boolean bSystemUpdate, Boolean bPreserveItemVersion, Boolean bPreserveItemUIVersion, Boolean bUpdateNoVersion, Int32& plID, String&
pbstrGuid, Guid pbstrNewDocId, Boolean bHasNewDocId, String bstrVersion, Object& pvarAttachmentNames, Object& pvarAttachmentContents, Object& pvarProperties, Boolean bCheckOut, Boolean bCheckin, Boolean bUnRestrictedUpdateInProgress, Boolean bMigration,
Boolean bPublish, String bstrFileName, ISP2DSafeArrayWriter pListDataValidationCallback, ISP2DSafeArrayWriter pRestrictInsertCallback, ISP2DSafeArrayWriter pUniqueFieldCallback) +565
[SPException: One or more field types are not installed properly. Go to the list settings page to delete these fields.]
Microsoft.SharePoint.SPGlobal.HandleComException(COMException comEx) +146
Microsoft.SharePoint.Library.SPRequest.AddOrUpdateItem(String bstrUrl, String bstrListName, Boolean bAdd, Boolean bSystemUpdate, Boolean bPreserveItemVersion, Boolean bPreserveItemUIVersion, Boolean bUpdateNoVersion, Int32& plID, String&
pbstrGuid, Guid pbstrNewDocId, Boolean bHasNewDocId, String bstrVersion, Object& pvarAttachmentNames, Object& pvarAttachmentContents, Object& pvarProperties, Boolean bCheckOut, Boolean bCheckin, Boolean bUnRestrictedUpdateInProgress, Boolean bMigration,
Boolean bPublish, String bstrFileName, ISP2DSafeArrayWriter pListDataValidationCallback, ISP2DSafeArrayWriter pRestrictInsertCallback, ISP2DSafeArrayWriter pUniqueFieldCallback) +2336
Ashish Kumar Baranwal

Unable to Customize SharePoint 2013 Discussion Board

Hi,
We are trying to customize SharePoint 2013 Discussion Board app and are unable to modify existing Flat, Subject, and Threaded views or create new views. Following are the error messages we are getting:
*** Error message when creating new views based on view types Subject, Flat, or Threaded:
TypeError: Unable to get value of the property '0': object is null or undefined
Note that when creating the view no options are available (only option to name and make default are available). The view created after display of this error message does not have any Columns, Sort, Filter or
other properties defined. Manually defining these properties does not make the view function as desired (Flat view is not flat).
*** Error message when editing existing default views Subject, Flat, or Threaded:
Cannot complete this action.
Please try again.
Troubleshoot issues with Microsoft SharePoint Foundation.
Note that this is nothing to troubleshoot or error number provided. The URL shows /_vti_bin/owssvr.dll?CS=65001. Also, the edit screen does not show any view property to change.
Note that both ability to edit existing views and create new views work in SharePoint 2010. This issue is with SharePoint 2013. Please guide to resolve this. View in other apps can be edited.
This issue is only with the Discussion Board app.
-Thanks, Maqsood.

You will not be able to modify the default view in SharePoint 2013 i.e. Subject/Flat or threaded. However you can create a new view based on your requirement and use it.
When you try to create new view, the fields will not be available for you to select during creation of view, instead create a view with proper name, once the view is created, go back for modifying the new view and you will have the fields available for selection.
Note: Make sure you have mandatory CU installed on the farm.
Raghavendra Shanbhag | Blog: www.SharePointColumn.com
Please click "Propose As Answer " if a post solves your problem or "Vote As Helpful" if a post has been useful to you.
Disclaimer: This posting is provided "AS IS" with no warranties.

Dmtreedemo.java error

hi,
i got error in the following programme in java named dmdemotree.java the code and the error are as mentioned below
i have installed oracle 10g r2 and i have used JDK 1.4.2 softwares , i have set classpath for jdm.jar and ojdm_api.jar available in oracle 10g r2 software ,successfully compiled but at execution stage i got error as
F:\Mallari\DATA MINING demos\java\samples>java dmtreedemo localhost:1521:orcl scott tiger
--- Build Model - using cost matrix ---
javax.datamining.JDMException: Generic Error.
at oracle.dmt.jdm.resource.OraExceptionHandler.createException(OraExcept
ionHandler.java:142)
at oracle.dmt.jdm.resource.OraExceptionHandler.createException(OraExcept
ionHandler.java:91)
at oracle.dmt.jdm.OraDMObject.createException(OraDMObject.java:111)
at oracle.dmt.jdm.base.OraTask.saveObjectInDatabase(OraTask.java:204)
at oracle.dmt.jdm.OraMiningObject.saveObjectInDatabase(OraMiningObject.j
ava:164)
at oracle.dmt.jdm.resource.OraPersistanceManagerImpl.saveObject(OraPersi
stanceManagerImpl.java:245)
at oracle.dmt.jdm.resource.OraConnection.saveObject(OraConnection.java:3
83)
at dmtreedemo.executeTask(dmtreedemo.java:622)
at dmtreedemo.buildModel(dmtreedemo.java:304)
at dmtreedemo.main(dmtreedemo.java:199)
Caused by: java.sql.SQLException: Unsupported feature
at oracle.jdbc.dbaccess.DBError.throwSqlException(DBError.java:134)
at oracle.jdbc.dbaccess.DBError.throwSqlException(DBError.java:179)
at oracle.jdbc.dbaccess.DBError.throwSqlException(DBError.java:269)
at oracle.jdbc.dbaccess.DBError.throwUnsupportedFeatureSqlException(DBEr
ror.java:690)
at oracle.jdbc.driver.OracleCallableStatement.setString(OracleCallableSt
atement.java:1337)
at oracle.dmt.jdm.utils.OraSQLUtils.createCallableStatement(OraSQLUtils.
java:126)
at oracle.dmt.jdm.utils.OraSQLUtils.executeCallableStatement(OraSQLUtils
.java:532)
at oracle.dmt.jdm.scheduler.OraProgramJob.createJob(OraProgramJob.java:7
7)
at oracle.dmt.jdm.scheduler.OraJob.saveJob(OraJob.java:107)
at oracle.dmt.jdm.scheduler.OraProgramJob.saveJob(OraProgramJob.java:85)
at oracle.dmt.jdm.scheduler.OraProgramJob.saveJob(OraProgramJob.java:290
at oracle.dmt.jdm.base.OraTask.saveObjectInDatabase(OraTask.java:199)
... 6 more
SO PLZ HELP ME OUT IN THIS , I WILL BE VERY THANK FULL
===========================================================
the sample code is
// Copyright (c) 2004, 2005, Oracle. All rights reserved.
// File: dmtreedemo.java
* This demo program describes how to use the Oracle Data Mining (ODM) Java API
* to solve a classification problem using Decision Tree (DT) algorithm.
* PROBLEM DEFINITION
* How to predict whether a customer responds or not to the new affinity card
* program using a classifier based on DT algorithm?
* DATA DESCRIPTION
* Data for this demo is composed from base tables in the Sales History (SH)
* schema. The SH schema is an Oracle Database Sample Schema that has the customer
* demographics, purchasing, and response details for the previous affinity card
* programs. Data exploration and preparing the data is a common step before
* doing data mining. Here in this demo, the following views are created in the user
* schema using CUSTOMERS, COUNTRIES, and SUPPLIMENTARY_DEMOGRAPHICS tables.
* MINING_DATA_BUILD_V:
* This view collects the previous customers' demographics, purchasing, and affinity
* card response details for building the model.
* MINING_DATA_TEST_V:
* This view collects the previous customers' demographics, purchasing, and affinity
* card response details for testing the model.
* MINING_DATA_APPLY_V:
* This view collects the prospective customers' demographics and purchasing
* details for predicting response for the new affinity card program.
* DATA MINING PROCESS
* Prepare Data:
* 1. Missing Value treatment for predictors
* See dmsvcdemo.java for a definition of missing values, and the steps to be
* taken for missing value imputation. SVM interprets all NULL values for a
* given attribute as "sparse". Sparse data is not suitable for decision
* trees, but it will accept sparse data nevertheless. Decision Tree
* implementation in ODM handles missing predictor values (by penalizing
* predictors which have missing values) and missing target values (by simple
* discarding records with missing target values). We skip missing values
* treatment in this demo.
* 2. Outlier/Clipping treatment for predictors
* See dmsvcdemo.java for a discussion on outlier treatment. For decision
* trees, outlier treatment is not really necessary. We skip outlier treatment
* in this demo.
* 3. Binning high cardinality data
* No data preparation for the types we accept is necessary - even for high
* cardinality predictors. Preprocessing to reduce the cardinality
* (e.g., binning) can improve the performance of the build, but it could
* penalize the accuracy of the resulting model.
* The PrepareData() method in this demo program illustrates the preparation of the
* build, test, and apply data. We skip PrepareData() since the decision tree
* algorithm is very capable of handling data which has not been specially
* prepared. For this demo, no data preparation will be performed.
* Build Model:
* Mining Model is the prime object in data mining. The buildModel() method
* illustrates how to build a classification model using DT algorithm.
* Test Model:
* Classification model performance can be evaluated by computing test
* metrics like accuracy, confusion matrix, lift and ROC. The testModel() or
* computeTestMetrics() method illustrates how to perform a test operation to
* compute various metrics.
* Apply Model:
* Predicting the target attribute values is the prime function of
* classification models. The applyModel() method illustrates how to
* predict the customer response for affinity card program.
* EXECUTING DEMO PROGRAM
* Refer to Oracle Data Mining Administrator's Guide
* for guidelines for executing this demo program.
// Generic Java api imports
import java.math.BigDecimal;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import java.sql.Statement;
import java.text.DecimalFormat;
import java.text.MessageFormat;
import java.util.Collection;
import java.util.HashMap;
import java.util.Iterator;
import java.util.Stack;
// Java Data Mining (JDM) standard api imports
import javax.datamining.ExecutionHandle;
import javax.datamining.ExecutionState;
import javax.datamining.ExecutionStatus;
import javax.datamining.JDMException;
import javax.datamining.MiningAlgorithm;
import javax.datamining.MiningFunction;
import javax.datamining.NamedObject;
import javax.datamining.SizeUnit;
import javax.datamining.algorithm.tree.TreeHomogeneityMetric;
import javax.datamining.algorithm.tree.TreeSettings;
import javax.datamining.algorithm.tree.TreeSettingsFactory;
import javax.datamining.base.AlgorithmSettings;
import javax.datamining.base.Model;
import javax.datamining.base.Task;
import javax.datamining.data.AttributeDataType;
import javax.datamining.data.CategoryProperty;
import javax.datamining.data.CategorySet;
import javax.datamining.data.CategorySetFactory;
import javax.datamining.data.ModelSignature;
import javax.datamining.data.PhysicalAttribute;
import javax.datamining.data.PhysicalAttributeFactory;
import javax.datamining.data.PhysicalAttributeRole;
import javax.datamining.data.PhysicalDataSet;
import javax.datamining.data.PhysicalDataSetFactory;
import javax.datamining.data.SignatureAttribute;
import javax.datamining.modeldetail.tree.TreeModelDetail;
import javax.datamining.modeldetail.tree.TreeNode;
import javax.datamining.resource.Connection;
import javax.datamining.resource.ConnectionFactory;
import javax.datamining.resource.ConnectionSpec;
import javax.datamining.rule.Predicate;
import javax.datamining.rule.Rule;
import javax.datamining.supervised.classification.ClassificationApplySettings;
import javax.datamining.supervised.classification.ClassificationApplySettingsFactory;
import javax.datamining.supervised.classification.ClassificationModel;
import javax.datamining.supervised.classification.ClassificationSettings;
import javax.datamining.supervised.classification.ClassificationSettingsFactory;
import javax.datamining.supervised.classification.ClassificationTestMetricOption;
import javax.datamining.supervised.classification.ClassificationTestMetrics;
import javax.datamining.supervised.classification.ClassificationTestMetricsTask;
import javax.datamining.supervised.classification.ClassificationTestMetricsTaskFactory;
import javax.datamining.supervised.classification.ClassificationTestTaskFactory;
import javax.datamining.supervised.classification.ConfusionMatrix;
import javax.datamining.supervised.classification.CostMatrix;
import javax.datamining.supervised.classification.CostMatrixFactory;
import javax.datamining.supervised.classification.Lift;
import javax.datamining.supervised.classification.ReceiverOperatingCharacterics;
import javax.datamining.task.BuildTask;
import javax.datamining.task.BuildTaskFactory;
import javax.datamining.task.apply.DataSetApplyTask;
import javax.datamining.task.apply.DataSetApplyTaskFactory;
// Oracle Java Data Mining (JDM) implemented api imports
import oracle.dmt.jdm.algorithm.tree.OraTreeSettings;
import oracle.dmt.jdm.resource.OraConnection;
import oracle.dmt.jdm.resource.OraConnectionFactory;
import oracle.dmt.jdm.modeldetail.tree.OraTreeModelDetail;
public class dmtreedemo
//Connection related data members
private static Connection m_dmeConn;
private static ConnectionFactory m_dmeConnFactory;
//Object factories used in this demo program
private static PhysicalDataSetFactory m_pdsFactory;
private static PhysicalAttributeFactory m_paFactory;
private static ClassificationSettingsFactory m_clasFactory;
private static TreeSettingsFactory m_treeFactory;
private static BuildTaskFactory m_buildFactory;
private static DataSetApplyTaskFactory m_dsApplyFactory;
private static ClassificationTestTaskFactory m_testFactory;
private static ClassificationApplySettingsFactory m_applySettingsFactory;
private static CostMatrixFactory m_costMatrixFactory;
private static CategorySetFactory m_catSetFactory;
private static ClassificationTestMetricsTaskFactory m_testMetricsTaskFactory;
// Global constants
private static DecimalFormat m_df = new DecimalFormat("##.####");
private static String m_costMatrixName = null;
public static void main( String args[] )
try
if ( args.length != 3 ) {
System.out.println("Usage: java dmsvrdemo <Host name>:<Port>:<SID> <User Name> <Password>");
return;
String uri = args[0];
String name = args[1];
String password = args[2];
// 1. Login to the Data Mining Engine
m_dmeConnFactory = new OraConnectionFactory();
ConnectionSpec connSpec = m_dmeConnFactory.getConnectionSpec();
connSpec.setURI("jdbc:oracle:thin:@"+uri);
connSpec.setName(name);
connSpec.setPassword(password);
m_dmeConn = m_dmeConnFactory.getConnection(connSpec);
// 2. Clean up all previuosly created demo objects
clean();
// 3. Initialize factories for mining objects
initFactories();
m_costMatrixName = createCostMatrix();
// 4. Build model with supplied cost matrix
buildModel();
// 5. Test model - To compute accuracy and confusion matrix, lift result
// and ROC for the model from apply output data.
// Please see dnnbdemo.java to see how to test the model
// with a test input data and cost matrix.
// Test the model with cost matrix
computeTestMetrics("DT_TEST_APPLY_OUTPUT_COST_JDM",
"dtTestMetricsWithCost_jdm", m_costMatrixName);
// Test the model without cost matrix
computeTestMetrics("DT_TEST_APPLY_OUTPUT_JDM",
"dtTestMetrics_jdm", null);
// 6. Apply the model
applyModel();
} catch(Exception anyExp) {
anyExp.printStackTrace(System.out);
} finally {
try {
//6. Logout from the Data Mining Engine
m_dmeConn.close();
} catch(Exception anyExp1) { }//Ignore
* Initialize all object factories used in the demo program.
* @exception JDMException if factory initalization failed
public static void initFactories() throws JDMException
m_pdsFactory = (PhysicalDataSetFactory)m_dmeConn.getFactory(
"javax.datamining.data.PhysicalDataSet");
m_paFactory = (PhysicalAttributeFactory)m_dmeConn.getFactory(
"javax.datamining.data.PhysicalAttribute");
m_clasFactory = (ClassificationSettingsFactory)m_dmeConn.getFactory(
"javax.datamining.supervised.classification.ClassificationSettings");
m_treeFactory = (TreeSettingsFactory) m_dmeConn.getFactory(
"javax.datamining.algorithm.tree.TreeSettings");
m_buildFactory = (BuildTaskFactory)m_dmeConn.getFactory(
"javax.datamining.task.BuildTask");
m_dsApplyFactory = (DataSetApplyTaskFactory)m_dmeConn.getFactory(
"javax.datamining.task.apply.DataSetApplyTask");
m_testFactory = (ClassificationTestTaskFactory)m_dmeConn.getFactory(
"javax.datamining.supervised.classification.ClassificationTestTask");
m_applySettingsFactory = (ClassificationApplySettingsFactory)m_dmeConn.getFactory(
"javax.datamining.supervised.classification.ClassificationApplySettings");
m_costMatrixFactory = (CostMatrixFactory)m_dmeConn.getFactory(
"javax.datamining.supervised.classification.CostMatrix");
m_catSetFactory = (CategorySetFactory)m_dmeConn.getFactory(
"javax.datamining.data.CategorySet" );
m_testMetricsTaskFactory = (ClassificationTestMetricsTaskFactory)m_dmeConn.getFactory(
"javax.datamining.supervised.classification.ClassificationTestMetricsTask");
* This method illustrates how to build a mining model using the
* MINING_DATA_BUILD_V dataset and classification settings with
* DT algorithm.
* @exception JDMException if model build failed
public static void buildModel() throws JDMException
System.out.println("---------------------------------------------------");
System.out.println("--- Build Model - using cost matrix ---");
System.out.println("---------------------------------------------------");
// 1. Create & save PhysicalDataSpecification
PhysicalDataSet buildData =
m_pdsFactory.create("MINING_DATA_BUILD_V", false);
PhysicalAttribute pa = m_paFactory.create("CUST_ID",
AttributeDataType.integerType, PhysicalAttributeRole.caseId );
buildData.addAttribute(pa);
m_dmeConn.saveObject("treeBuildData_jdm", buildData, true);
//2. Create & save Mining Function Settings
// Create tree algorithm settings
TreeSettings treeAlgo = m_treeFactory.create();
// By default, tree algorithm will have the following settings:
// treeAlgo.setBuildHomogeneityMetric(TreeHomogeneityMetric.gini);
// treeAlgo.setMaxDepth(7);
// ((OraTreeSettings)treeAlgo).setMinDecreaseInImpurity(0.1, SizeUnit.percentage);
// treeAlgo.setMinNodeSize( 0.05, SizeUnit.percentage );
// treeAlgo.setMinNodeSize( 10, SizeUnit.count );
// ((OraTreeSettings)treeAlgo).setMinDecreaseInImpurity(20, SizeUnit.count);
// Set cost matrix. A cost matrix is used to influence the weighting of
// misclassification during model creation (and scoring).
// See Oracle Data Mining Concepts Guide for more details.
String costMatrixName = m_costMatrixName;
// Create ClassificationSettings
ClassificationSettings buildSettings = m_clasFactory.create();
buildSettings.setAlgorithmSettings(treeAlgo);
buildSettings.setCostMatrixName(costMatrixName);
buildSettings.setTargetAttributeName("AFFINITY_CARD");
m_dmeConn.saveObject("treeBuildSettings_jdm", buildSettings, true);
// 3. Create, save & execute Build Task
BuildTask buildTask = m_buildFactory.create(
"treeBuildData_jdm", // Build data specification
"treeBuildSettings_jdm", // Mining function settings name
"treeModel_jdm" // Mining model name
buildTask.setDescription("treeBuildTask_jdm");
executeTask(buildTask, "treeBuildTask_jdm");
//4. Restore the model from the DME and explore the details of the model
ClassificationModel model =
(ClassificationModel)m_dmeConn.retrieveObject(
"treeModel_jdm", NamedObject.model);
// Display model build settings
ClassificationSettings retrievedBuildSettings =
(ClassificationSettings)model.getBuildSettings();
if(buildSettings == null)
System.out.println("Failure to restore build settings.");
else
displayBuildSettings(retrievedBuildSettings, "treeBuildSettings_jdm");
// Display model signature
displayModelSignature((Model)model);
// Display model detail
TreeModelDetail treeModelDetails = (TreeModelDetail) model.getModelDetail();
displayTreeModelDetailsExtensions(treeModelDetails);
* Create and save cost matrix.
* Consider an example where it costs $10 to mail a promotion to a
* prospective customer and if the prospect becomes a customer, the
* typical sale including the promotion, is worth $100. Then the cost
* of missing a customer (i.e. missing a $100 sale) is 10x that of
* incorrectly indicating that a person is good prospect (spending
* $10 for the promo). In this case, all prediction errors made by
* the model are NOT equal. To act on what the model determines to
* be the most likely (probable) outcome may be a poor choice.
* Suppose that the probability of a BUY reponse is 10% for a given
* prospect. Then the expected revenue from the prospect is:
* .10 * $100 - .90 * $10 = $1.
* The optimal action, given the cost matrix, is to simply mail the
* promotion to the customer, because the action is profitable ($1).
* In contrast, without the cost matrix, all that can be said is
* that the most likely response is NO BUY, so don't send the
* promotion. This shows that cost matrices can be very important.
* The caveat in all this is that the model predicted probabilities
* may NOT be accurate. For binary targets, a systematic approach to
* this issue exists. It is ROC, illustrated below.
* With ROC computed on a test set, the user can see how various model
* predicted probability thresholds affect the action of mailing a promotion.
* Suppose I promote when the probability to BUY exceeds 5, 10, 15%, etc.
* what return can I expect? Note that the answer to this question does
* not rely on the predicted probabilities being accurate, only that
* they are in approximately the correct rank order.
* Assuming that the predicted probabilities are accurate, provide the
* cost matrix table name as input to the RANK_APPLY procedure to get
* appropriate costed scoring results to determine the most appropriate
* action.
* In this demo, we will create the following cost matrix
* ActualTarget PredictedTarget Cost
* 0 0 0
* 0 1 1
* 1 0 8
* 1 1 0
private static String createCostMatrix() throws JDMException
String costMatrixName = "treeCostMatrix";
// Create categorySet
CategorySet catSet = m_catSetFactory.create(AttributeDataType.integerType);
// Add category values
catSet.addCategory(new Integer(0), CategoryProperty.valid);
catSet.addCategory(new Integer(1), CategoryProperty.valid);
// Create cost matrix
CostMatrix costMatrix = m_costMatrixFactory.create(catSet);
// ActualTarget PredictedTarget Cost
costMatrix.setValue(new Integer(0), new Integer(0), 0);
costMatrix.setValue(new Integer(0), new Integer(1), 1);
costMatrix.setValue(new Integer(1), new Integer(0), 8);
costMatrix.setValue(new Integer(1), new Integer(1), 0);
//save cost matrix
m_dmeConn.saveObject(costMatrixName, costMatrix, true);
return costMatrixName;
* This method illustrates how to compute test metrics using
* an apply output table that has actual and predicted target values. Here the
* apply operation is done on the MINING_DATA_TEST_V dataset. It creates
* an apply output table with actual and predicted target values. Using
* ClassificationTestMetricsTask test metrics are computed. This produces
* the same test metrics results as ClassificationTestTask.
* @param applyOutputName apply output table name
* @param testResultName test result name
* @param costMatrixName table name of the supplied cost matrix
* @exception JDMException if model test failed
public static void computeTestMetrics(String applyOutputName,
String testResultName, String costMatrixName) throws JDMException
if (costMatrixName != null) {
System.out.println("---------------------------------------------------");
System.out.println("--- Test Model - using apply output table ---");
System.out.println("--- - using cost matrix table ---");
System.out.println("---------------------------------------------------");
else {
System.out.println("---------------------------------------------------");
System.out.println("--- Test Model - using apply output table ---");
System.out.println("--- - using no cost matrix table ---");
System.out.println("---------------------------------------------------");
// 1. Do the apply on test data to create an apply output table
// Create & save PhysicalDataSpecification
PhysicalDataSet applyData =
m_pdsFactory.create( "MINING_DATA_TEST_V", false );
PhysicalAttribute pa = m_paFactory.create("CUST_ID",
AttributeDataType.integerType, PhysicalAttributeRole.caseId );
applyData.addAttribute( pa );
m_dmeConn.saveObject( "treeTestApplyData_jdm", applyData, true );
// 2 Create & save ClassificationApplySettings
ClassificationApplySettings clasAS = m_applySettingsFactory.create();
HashMap sourceAttrMap = new HashMap();
sourceAttrMap.put( "AFFINITY_CARD", "AFFINITY_CARD" );
clasAS.setSourceDestinationMap( sourceAttrMap );
m_dmeConn.saveObject( "treeTestApplySettings_jdm", clasAS, true);
// 3 Create, store & execute apply Task
DataSetApplyTask applyTask = m_dsApplyFactory.create(
"treeTestApplyData_jdm",
"treeModel_jdm",
"treeTestApplySettings_jdm",
applyOutputName);
if(executeTask(applyTask, "treeTestApplyTask_jdm"))
// Compute test metrics on new created apply output table
// 4. Create & save PhysicalDataSpecification
PhysicalDataSet applyOutputData = m_pdsFactory.create(
applyOutputName, false );
applyOutputData.addAttribute( pa );
m_dmeConn.saveObject( "treeTestApplyOutput_jdm", applyOutputData, true );
// 5. Create a ClassificationTestMetricsTask
ClassificationTestMetricsTask testMetricsTask =
m_testMetricsTaskFactory.create( "treeTestApplyOutput_jdm", // apply output data used as input
"AFFINITY_CARD", // actual target column
"PREDICTION", // predicted target column
testResultName // test metrics result name
testMetricsTask.computeMetric( // enable confusion matrix computation
ClassificationTestMetricOption.confusionMatrix, true );
testMetricsTask.computeMetric( // enable lift computation
ClassificationTestMetricOption.lift, true );
testMetricsTask.computeMetric( // enable ROC computation
ClassificationTestMetricOption.receiverOperatingCharacteristics, true );
testMetricsTask.setPositiveTargetValue( new Integer(1) );
testMetricsTask.setNumberOfLiftQuantiles( 10 );
testMetricsTask.setPredictionRankingAttrName( "PROBABILITY" );
if (costMatrixName != null) {
testMetricsTask.setCostMatrixName(costMatrixName);
displayTable(costMatrixName, "", "order by ACTUAL_TARGET_VALUE, PREDICTED_TARGET_VALUE");
// Store & execute the task
boolean isTaskSuccess = executeTask(testMetricsTask, "treeTestMetricsTask_jdm");
if( isTaskSuccess ) {
// Restore & display test metrics
ClassificationTestMetrics testMetrics = (ClassificationTestMetrics)
m_dmeConn.retrieveObject( testResultName, NamedObject.testMetrics );
// Display classification test metrics
displayTestMetricDetails(testMetrics);
* This method illustrates how to apply the mining model on the
* MINING_DATA_APPLY_V dataset to predict customer
* response. After completion of the task apply output table with the
* predicted results is created at the user specified location.
* @exception JDMException if model apply failed
public static void applyModel() throws JDMException
System.out.println("---------------------------------------------------");
System.out.println("--- Apply Model ---");
System.out.println("---------------------------------------------------");
System.out.println("---------------------------------------------------");
System.out.println("--- Business case 1 ---");
System.out.println("--- Find the 10 customers who live in Italy ---");
System.out.println("--- that are least expensive to be convinced to ---");
System.out.println("--- use an affinity card. ---");
System.out.println("---------------------------------------------------");
// 1. Create & save PhysicalDataSpecification
PhysicalDataSet applyData =
m_pdsFactory.create( "MINING_DATA_APPLY_V", false );
PhysicalAttribute pa = m_paFactory.create("CUST_ID",
AttributeDataType.integerType, PhysicalAttributeRole.caseId );
applyData.addAttribute( pa );
m_dmeConn.saveObject( "treeApplyData_jdm", applyData, true );
// 2. Create & save ClassificationApplySettings
ClassificationApplySettings clasAS = m_applySettingsFactory.create();
// Add source attributes
HashMap sourceAttrMap = new HashMap();
sourceAttrMap.put( "COUNTRY_NAME", "COUNTRY_NAME" );
clasAS.setSourceDestinationMap( sourceAttrMap );
// Add cost matrix
clasAS.setCostMatrixName( m_costMatrixName );
m_dmeConn.saveObject( "treeApplySettings_jdm", clasAS, true);
// 3. Create, store & execute apply Task
DataSetApplyTask applyTask = m_dsApplyFactory.create(
"treeApplyData_jdm", "treeModel_jdm",
"treeApplySettings_jdm", "TREE_APPLY_OUTPUT1_JDM");
executeTask(applyTask, "treeApplyTask_jdm");
// 4. Display apply result -- Note that APPLY results do not need to be
// reverse transformed, as done in the case of model details. This is
// because class values of a classification target were not (required to
// be) binned or normalized.
// Find the 10 customers who live in Italy that are least expensive to be
// convinced to use an affinity card.
displayTable("TREE_APPLY_OUTPUT1_JDM",
"where COUNTRY_NAME='Italy' and ROWNUM < 11 ",
"order by COST");
System.out.println("---------------------------------------------------");
System.out.println("--- Business case 2 ---");
System.out.println("--- List ten customers (ordered by their id) ---");
System.out.println("--- along with likelihood and cost to use or ---");
System.out.println("--- reject the affinity card. ---");
System.out.println("---------------------------------------------------");
// 1. Create & save PhysicalDataSpecification
applyData =
m_pdsFactory.create( "MINING_DATA_APPLY_V", false );
pa = m_paFactory.create("CUST_ID",
AttributeDataType.integerType, PhysicalAttributeRole.caseId );
applyData.addAttribute( pa );
m_dmeConn.saveObject( "treeApplyData_jdm", applyData, true );
// 2. Create & save ClassificationApplySettings
clasAS = m_applySettingsFactory.create();
// Add cost matrix
clasAS.setCostMatrixName( m_costMatrixName );
m_dmeConn.saveObject( "treeApplySettings_jdm", clasAS, true);
// 3. Create, store & execute apply Task
applyTask = m_dsApplyFactory.create(
"treeApplyData_jdm", "treeModel_jdm",
"treeApplySettings_jdm", "TREE_APPLY_OUTPUT2_JDM");
executeTask(applyTask, "treeApplyTask_jdm");
// 4. Display apply result -- Note that APPLY results do not need to be
// reverse transformed, as done in the case of model details. This is
// because class values of a classification target were not (required to
// be) binned or normalized.
// List ten customers (ordered by their id) along with likelihood and cost
// to use or reject the affinity card (Note: while this example has a
// binary target, such a query is useful in multi-class classification -
// Low, Med, High for example).
displayTable("TREE_APPLY_OUTPUT2_JDM",
"where ROWNUM < 21",
"order by CUST_ID, PREDICTION");
System.out.println("---------------------------------------------------");
System.out.println("--- Business case 3 ---");
System.out.println("--- Find the customers who work in Tech support ---");
System.out.println("--- and are under 25 who is going to response ---");
System.out.println("--- to the new affinity card program. ---");
System.out.println("---------------------------------------------------");
// 1. Create & save PhysicalDataSpecification
applyData =
m_pdsFactory.create( "MINING_DATA_APPLY_V", false );
pa = m_paFactory.create("CUST_ID",
AttributeDataType.integerType, PhysicalAttributeRole.caseId );
applyData.addAttribute( pa );
m_dmeConn.saveObject( "treeApplyData_jdm", applyData, true );
// 2. Create & save ClassificationApplySettings
clasAS = m_applySettingsFactory.create();
// Add source attributes
sourceAttrMap = new HashMap();
sourceAttrMap.put( "AGE", "AGE" );
sourceAttrMap.put( "OCCUPATION", "OCCUPATION" );
clasAS.setSourceDestinationMap( sourceAttrMap );
m_dmeConn.saveObject( "treeApplySettings_jdm", clasAS, true);
// 3. Create, store & execute apply Task
applyTask = m_dsApplyFactory.create(
"treeApplyData_jdm", "treeModel_jdm",
"treeApplySettings_jdm", "TREE_APPLY_OUTPUT3_JDM");
executeTask(applyTask, "treeApplyTask_jdm");
// 4. Display apply result -- Note that APPLY results do not need to be
// reverse transformed, as done in the case of model details. This is
// because class values of a classification target were not (required to
// be) binned or normalized.
// Find the customers who work in Tech support and are under 25 who is
// going to response to the new affinity card program.
displayTable("TREE_APPLY_OUTPUT3_JDM",
"where OCCUPATION = 'TechSup' " +
"and AGE < 25 " +
"and PREDICTION = 1 ",
"order by CUST_ID");
* This method stores the given task with the specified name in the DMS
* and submits the task for asynchronous execution in the DMS. After
* completing the task successfully it returns true. If there is a task
* failure, then it prints error description and returns false.
* @param taskObj task object
* @param taskName name of the task
* @return boolean returns true when the task is successful
* @exception JDMException if task execution failed
public static boolean executeTask(Task taskObj, String taskName)
throws JDMException
boolean isTaskSuccess = false;
m_dmeConn.saveObject(taskName, taskObj, true);
ExecutionHandle execHandle = m_dmeConn.execute(taskName);
System.out.print(taskName + " is started, please wait. ");
//Wait for completion of the task
ExecutionStatus status = execHandle.waitForCompletion(Integer.MAX_VALUE);
//Check the status of the task after completion
isTaskSuccess = status.getState().equals(ExecutionState.success);
if( isTaskSuccess ) //Task completed successfully
System.out.println(taskName + " is successful.");
else //Task failed
System.out.println(taskName + " failed.\nFailure Description: " +
status.getDescription() );
return isTaskSuccess;
private static void displayBuildSettings(
ClassificationSettings clasSettings, String buildSettingsName)
System.out.println("BuildSettings Details from the "
+ buildSettingsName + " table:");
displayTable(buildSettingsName, "", "order by SETTING_NAME");
System.out.println("BuildSettings Details from the "
+ buildSettingsName + " model build settings object:");
String objName = clasSettings.getName();
if(objName != null)
System.out.println("Name = " + objName);
String objDescription = clasSettings.getDescription();
if(objDescription != null)
System.out.println("Description = " + objDescription);
java.util.Date creationDate = clasSettings.getCreationDate();
String creator = clasSettings.getCreatorInfo();
String targetAttrName = clasSettings.getTargetAttributeName();
System.out.println("Target attribute name = " + targetAttrName);
AlgorithmSettings algoSettings = clasSettings.getAlgorithmSettings();
if(algoSettings == null)
System.out.println("Failure: clasSettings.getAlgorithmSettings() returns null");
MiningAlgorithm algo = algoSettings.getMiningAlgorithm();
if(algo == null) System.out.println("Failure: algoSettings.getMiningAlgorithm() returns null");
System.out.println("Algorithm Name: " + algo.name());
MiningFunction function = clasSettings.getMiningFunction();
if(function == null) System.out.println("Failure: clasSettings.getMiningFunction() returns null");
System.out.println("Function Name: " + function.name());
try {
String costMatrixName = clasSettings.getCostMatrixName();
if(costMatrixName != null) {
System.out.println("Cost Matrix Details from the " + costMatrixName
+ " table:");
displayTable(costMatrixName, "", "order by ACTUAL_TARGET_VALUE, PREDICTED_TARGET_VALUE");
} catch(Exception jdmExp)
System.out.println("Failure: clasSettings.getCostMatrixName()throws exception");
jdmExp.printStackTrace();
// List of DT algorithm settings
// treeAlgo.setBuildHomogeneityMetric(TreeHomogeneityMetric.gini);
// treeAlgo.setMaxDepth(7);
// ((OraTreeSettings)treeAlgo).setMinDecreaseInImpurity(0.1, SizeUnit.percentage);
// treeAlgo.setMinNodeSize( 0.05, SizeUnit.percentage );
// treeAlgo.setMinNodeSize( 10, SizeUnit.count );
// ((OraTreeSettings)treeAlgo).setMinDecreaseInImpurity(20, SizeUnit.count);
TreeHomogeneityMetric homogeneityMetric = ((OraTreeSettings)algoSettings).getBuildHomogeneityMetric();
System.out.println("Homogeneity Metric: " + homogeneityMetric.name());
int intValue = ((OraTreeSettings)algoSettings).getMaxDepth();
System.out.println("Max Depth: " + intValue);
double doubleValue = ((OraTreeSettings)algoSettings).getMinNodeSizeForSplit(SizeUnit.percentage);
System.out.println("MinNodeSizeForSplit (percentage): " + m_df.format(doubleValue));
doubleValue = ((OraTreeSettings)algoSettings).getMinNodeSizeForSplit(SizeUnit.count);
System.out.println("MinNodeSizeForSplit (count): " + m_df.format(doubleValue));
doubleValue = ((OraTreeSettings)algoSettings).getMinNodeSize();
SizeUnit unit = ((OraTreeSettings)algoSettings).getMinNodeSizeUnit();
System.out.println("Min Node Size (" + unit.name() +"): " + m_df.format(doubleValue));
doubleValue = ((OraTreeSettings)algoSettings).getMinNodeSize( SizeUnit.count );
System.out.println("Min Node Size (" + SizeUnit.count.name() +"): " + m_df.format(doubleValue));
doubleValue = ((OraTreeSettings)algoSettings).getMinNodeSize( SizeUnit.percentage );
System.out.println("Min Node Size (" + SizeUnit.percentage.name() +"): " + m_df.format(doubleValue));
* This method displayes DT model signature.
* @param model model object
* @exception JDMException if failed to retrieve model signature
public static void displayModelSignature(Model model) throws JDMException
String modelName = model.getName();
System.out.println("Model Name: " + modelName);
ModelSignature modelSignature = model.getSignature();
System.out.println("ModelSignature Deatils: ( Attribute Name, Attribute Type )");
MessageFormat mfSign = new MessageFormat(" ( {0}, {1} )");
String[] vals = new String[3];
Collection sortedSet = modelSignature.getAttributes();
Iterator attrIterator = sortedSet.iterator();
while(attrIterator.hasNext())
SignatureAttribute attr = (SignatureAttribute)attrIterator.next();
vals[0] = attr.getName();
vals[1] = attr.getDataType().name();
System.out.println( mfSign.format(vals) );
* This method displayes DT model details.
* @param treeModelDetails tree model details object
* @exception JDMException if failed to retrieve model details
public static void displayTreeModelDetailsExtensions(TreeModelDetail treeModelDetails)
throws JDMException
System.out.println( "\nTreeModelDetail: Model name=" + "treeModel_jdm" );
TreeNode root = treeModelDetails.getRootNode();
System.out.println( "\nRoot node: " + root.getIdentifier() );
// get the info for the tree model
int treeDepth = ((OraTreeModelDetail) treeModelDetails).getTreeDepth();
System.out.println( "Tree depth: " + treeDepth );
int totalNodes = ((OraTreeModelDetail) treeModelDetails).getNumberOfNodes();
System.out.println( "Total number of nodes: " + totalNodes );
int totalLeaves = ((OraTreeModelDetail) treeModelDetails).getNumberOfLeafNodes();
System.out.println( "Total number of leaf nodes: " + totalLeaves );
Stack nodeStack = new Stack();
nodeStack.push( root);
while( !nodeStack.empty() )
TreeNode node = (TreeNode) nodeStack.pop();
// display this node
int nodeId = node.getIdentifier();
long caseCount = node.getCaseCount();
Object prediction = node.getPrediction();
int level = node.getLevel();
int children = node.getNumberOfChildren();
TreeNode parent = node.getParent();
System.out.println( "\nNode id=" + nodeId + " at level " + level );
if( parent != null )
System.out.println( "parent: " + parent.getIdentifier() +
", children=" + children );
System.out.println( "Case count: " + caseCount + ", prediction: " + prediction );
Predicate predicate = node.getPredicate();
System.out.println( "Predicate: " + predicate.toString() );
Predicate[] surrogates = node.getSurrogates();
if( surrogates != null )
for( int i=0; i<surrogates.length; i++ )
System.out.println( "Surrogate[" + i + "]: " + surrogates[i] );
// add child nodes in the stack
if( children > 0 )
TreeNode[] childNodes = node.getChildren();
for( int i=0; i<childNodes.length; i++ )
nodeStack.push( childNodes[i] );
TreeNode[] allNodes = treeModelDetails.getNodes();
System.out.print( "\nNode identifiers by getNodes():" );
for( int i=0; i<allNodes.length; i++ )
System.out.print( " " + allNodes.getIdentifier() );
System.out.println();
// display the node identifiers
int[] nodeIds = treeModelDetails.getNodeIdentifiers();
System.out.print( "Node identifiers by getNodeIdentifiers():" );
for( int i=0; i<nodeIds.length; i++ )
System.out.print( " " + nodeIds[i] );
System.out.println();
TreeNode node = treeModelDetails.getNode(nodeIds.length-1);
System.out.println( "Node identifier by getNode(" + (nodeIds.length-1) +
"): " + node.getIdentifier() );
Rule rule2 = treeModelDetails.getRule(nodeIds.length-1);
System.out.println( "Rule identifier by getRule(" + (nodeIds.length-1) +
"): " + rule2.getRuleIdentifier() );
// get the rules and display them
Collection ruleColl = treeModelDetails.getRules();
Iterator ruleIterator = ruleColl.iterator();
while( ruleIterator.hasNext() )
Rule rule = (Rule) ruleIterator.next();
int ruleId = rule.getRuleIdentifier();
Predicate antecedent = (Predicate) rule.getAntecedent();
Predicate consequent = (Predicate) rule.getConsequent();
System.out.println( "\nRULE " + ruleId + ": support=" +
rule.getSupport() + " (abs=" + rule.getAbsoluteSupport() +
"), confidence=" + rule.getConfidence() );
System.out.println( antecedent );
System.out.println( "=======>" );
System.out.println( consequent );
* Display classification test metrics object
* @param testMetrics classification test metrics object
* @exception JDMException if failed to retrieve test metric details
public static void displayTestMetricDetails(
ClassificationTestMetrics testMetrics) throws JDMException
// Retrieve Oracle ABN model test metrics deatils extensions
// Test Metrics Name
System.out.println("Test Metrics Name = " + testMetrics.getName());
// Model Name
System.out.println("Model Name = " + testMetrics.getModelName());
// Test Data Name
System.out.println("Test Data Name = " + testMetrics.getTestDataName());
// Accuracy
System.out.println("Accuracy = " + m_df.format(testMetrics.getAccuracy().doubleValue()));
// Confusion Matrix
ConfusionMatrix confusionMatrix = testMetrics.getConfusionMatrix();
Collection categories = confusionMatrix.getCategories();
Iterator xIterator = categories.iterator();
System.out.println("Confusion Matrix: Accuracy = " + m_df.format(confusionMatrix.getAccuracy()));
System.out.println("Confusion Matrix: Error = " + m_df.format(confusionMatrix.getError()));
System.out.println("Confusion Matrix:( Actual, Prection, Value )");
MessageFormat mf = new MessageFormat(" ( {0}, {1}, {2} )");
String[] vals = new String[3];
while(xIterator.hasNext())
Object actual = xIterator.next();
vals[0] = actual.toString();
Iterator yIterator = categories.iterator();
while(yIterator.hasNext())
Object predicted = yIterator.next();
vals[1] = predicted.toString();
long number = confusionMatrix.getNumberOfPredictions(actual, predicted);
vals[2] = Long.toString(number);
System.out.println(mf.format(vals));
// Lift
Lift lift = testMetrics.getLift();
System.out.println("Lift Details:");
System.out.println("Lift: Target Attribute Name = " + lift.getTargetAttributeName());
System.out.println("Lift: Positive Target Value = " + lift.getPositiveTargetValue());
System.out.println("Lift: Total Cases = " + lift.getTotalCases());
System.out.println("Lift: Total Positive Cases = " + lift.getTotalPositiveCases());
int numberOfQuantiles = lift.getNumberOfQuantiles();
System.out.println("Lift: Number Of Quantiles = " + numberOfQuantiles);
System.out.println("Lift: ( QUANTILE_NUMBER, QUANTILE_TOTAL_COUNT, QUANTILE_TARGET_COUNT, PERCENTAGE_RECORDS_CUMULATIVE,CUMULATIVE_LIFT,CUMULATIVE_TARGET_DENSITY,TARGETS_CUMULATIVE, NON_TARGETS_CUMULATIVE, LIFT_QUANTILE, TARGET_DENSITY )");
MessageFormat mfLift = new MessageFormat(" ( {0}, {1}, {2}, {3}, {4}, {5}, {6}, {7}, {8}, {9} )");
String[] liftVals = new String[10];
for(int iQuantile=1; iQuantile<= numberOfQuantiles; iQuantile++)
liftVals[0] = Integer.toString(iQuantile); //QUANTILE_NUMBER
liftVals[1] = Long.toString(lift.getCases((iQuantile-1), iQuantile));//QUANTILE_TOTAL_COUNT
liftVals[2] = Long.toString(lift.getNumberOfPositiveCases((iQuantile-1), iQuantile));//QUANTILE_TARGET_COUNT
liftVals[3] = m_df.format(lift.getCumulativePercentageSize(iQuantile).doubleValue());//PERCENTAGE_RECORDS_CUMULATIVE
liftVals[4] = m_df.format(lift.getCumulativeLift(iQuantile).doubleValue());//CUMULATIVE_LIFT
liftVals[5] = m_df.format(lift.getCumulativeTargetDensity(iQuantile).doubleValue());//CUMULATIVE_TARGET_DENSITY
liftVals[6] = Long.toString(lift.getCumulativePositiveCases(iQuantile));//TARGETS_CUMULATIVE
liftVals[7] = Long.toString(lift.getCumulativeNegativeCases(iQuantile));//NON_TARGETS_CUMULATIVE
liftVals[8] = m_df.format(lift.getLift(iQuantile, iQuantile).doubleValue());//LIFT_QUANTILE
liftVals[9] = m_df.format(lift.getTargetDensity(iQuantile, iQuantile).doubleValue());//TARGET_DENSITY
System.out.println(mfLift.format(liftVals));
// ROC
ReceiverOperatingCharacterics roc = testMetrics.getROC();
System.out.println("ROC Details:");
System.out.println("ROC: Area Under Curve = " + m_df.format(roc.getAreaUnderCurve()));
int nROCThresh = roc.getNumberOfThresholdCandidates();
System.out.println("ROC: Number Of Threshold Candidates = " + nROCThresh);
System.out.println("ROC: ( INDEX, PROBABILITY, TRUE_POSITIVES, FALSE_NEGATIVES, FALSE_POSITIVES, TRUE_NEGATIVES, TRUE_POSITIVE_FRACTION, FALSE_POSITIVE_FRACTION )");
MessageFormat mfROC = new MessageFormat(" ( {0}, {1}, {2}, {3}, {4}, {5}, {6}, {7} )");
String[] rocVals = new String[8];
for(int iROC=1; iROC <= nROCThresh; iROC++)
rocVals[0] = Integer.toString(iROC); //INDEX
rocVals[1] = m_df.format(roc.getProbabilityThreshold(iROC));//PROBABILITY
rocVals[2] = Long.toString(roc.getPositives(iROC, true));//TRUE_POSITIVES
rocVals[3] = Long.toString(roc.getNegatives(iROC, false));//FALSE_NEGATIVES
rocVals[4] = Long.toString(roc.getPositives(iROC, false));//FALSE_POSITIVES
rocVals[5] = Long.toString(roc.getNegatives(iROC, true));//TRUE_NEGATIVES
rocVals[6] = m_df.format(roc.getHitRate(iROC));//TRUE_POSITIVE_FRACTION
rocVals[7] = m_df.format(roc.getFalseAlarmRate(iROC));//FALSE_POSITIVE_FRACTION
System.out.println(mfROC.format(rocVals));
private static void displayTable(String tableName, String whereCause, String orderByColumn)
StringBuffer emptyCol = new StringBuffer(" ");
java.sql.Connection dbConn =
((OraConnection)m_dmeConn).getDatabaseConnection();
PreparedStatement pStmt = null;
ResultSet rs = null;
try
pStmt = dbConn.prepareStatement("SELECT * FROM " + tableName + " " + whereCause + " " + orderByColumn);
rs = pStmt.executeQuery();
ResultSetMetaData rsMeta = rs.getMetaData();
int colCount = rsMeta.getColumnCount();
StringBuffer header = new StringBuffer();
System.out.println("Table : " + tableName);
//Build table header
for(int iCol=1; iCol<=colCount; iCol++)
String colName = rsMeta.getColumnName(iCol);
header.append(emptyCol.replace(0, colName.length(), colName));
emptyCol = new StringBuffer(" ");
System.out.println(header.toString());
//Write table data
while(rs.next())
StringBuffer rowContent = new StringBuffer();
for(int iCol=1; iCol<=colCount; iCol++)
int sqlType = rsMeta.getColumnType(iCol);
Object obj = rs.getObject(iCol);
String colContent = null;
if(obj instanceof java.lang.Number)
try
BigDecimal bd = (BigDecimal)obj;
if(bd.scale() > 5)
colContent = m_df.format(obj);
} else
colContent = bd.toString();
} catch(Exception anyExp) {
colContent = m_df.format(obj);
} else
if(obj == null)
colContent = "NULL";
else
colContent = obj.toString();
rowContent.append(" "+emptyCol.replace(0, colContent.length(), colContent));
emptyCol = new StringBuffer(" ");
System.out.println(rowContent.toString());
} catch(Exception anySqlExp) {
anySqlExp.printStackTrace();
}//Ignore
private static void createTableForTestMetrics(String applyOutputTableName,
String testDataName,
String testMetricsInputTableName)
//0. need to execute the following in the schema
String sqlCreate =
"create table " + testMetricsInputTableName + " as " +
"select a.id as id, prediction, probability, affinity_card " +
"from " + testDataName + " a, " + applyOutputTableName + " b " +
"where a.id = b.id";
java.sql.Connection dbConn = ((OraConnection) m_dmeConn).getDatabaseConnection();
Statement stmt = null;
try
stmt = dbConn.createStatement();
stmt.executeUpdate( sqlCreate );
catch( Exception anySqlExp )
System.out.println( anySqlExp.getMessage() );
anySqlExp.printStackTrace();
finally
try
stmt.close();
catch( SQLException sqlExp ) {}
private static void clean()
java.sql.Connection dbConn =
((OraConnection) m_dmeConn).getDatabaseConnection();
Statement stmt = null;
// Drop apply output table
try
stmt = dbConn.createStatement();
stmt.executeUpdate("DROP TABLE TREE_APPLY_OUTPUT1_JDM");
} catch(Exception anySqlExp) {}//Ignore
finally
try
stmt.close();
catch( SQLException sqlExp ) {}
try
stmt = dbConn.createStatement();
stmt.executeUpdate("DROP TABLE TREE_APPLY_OUTPUT2_JDM");
} catch(Exception anySqlExp) {}//Ignore
finally
try
stmt.close();
catch( SQLException sqlExp ) {}
try
stmt = dbConn.createStatement();
stmt.executeUpdate("DROP TABLE TREE_APPLY_OUTPUT3_JDM");
} catch(Exception anySqlExp) {}//Ignore
finally
try
stmt.close();
catch( SQLException sqlExp ) {}
// Drop apply output table created for test metrics task
try
stmt = dbConn.createStatement();
stmt.executeUpdate("DROP TABLE DT_TEST_APPLY_OUTPUT_COST_JDM");
} catch(Exception anySqlExp) {}//Ignore
finally
try
stmt.close();
catch( SQLException sqlExp ) {}
try
stmt = dbConn.createStatement();
stmt.executeUpdate("DROP TABLE DT_TEST_APPLY_OUTPUT_JDM");
} catch(Exception anySqlExp) {}//Ignore
finally
try
stmt.close();
catch( SQLException sqlExp ) {}
//Drop the model
try {
m_dmeConn.removeObject( "treeModel_jdm", NamedObject.model );
} catch(Exception jdmExp) {}
// drop test metrics result: created by TestMetricsTask
try {
m_dmeConn.removeObject( "dtTestMetricsWithCost_jdm", NamedObject.testMetrics );
} catch(Exception jdmExp) {}
try {
m_dmeConn.removeObject( "dtTestMetrics_jdm", NamedObject.testMetrics );
} catch(Exception jdmExp) {}

Hi
I am not sure whether this will help but someone else was getting an error with a java.sql.SQLexception: Unsupported feature. Here is a link to the fix: http://saloon.javaranch.com/cgi-bin/ubb/ultimatebb.cgi?ubb=get_topic&f=3&t=007947
Best wishes
Michael

Deleting a 'Best Reply' in a Community Site Discussion Board breaks post

Hi all,
I've recently been working with the community sites discussion board functionality and have run into an issue. If I mark a reply in a discussion board as a 'best reply' and then delete the original reply the discussion board webpart still shows with
the 'best reply' tick in place. More concerning is that once this has occurred if I refresh the page at all a "TypeError: 'undefined' is null or not an object" error will start generating when trying to post to the discussion.
The following steps outline how to generate this error:
Create a new Community Site
Click 'new discussion' on the homepage of the new site
Enter a subject and a body and save
Click into your new discussion and write a reply
Mark this reply as a 'best reply'
Delete the reply
Notice that the tick and the 'Best Reply' header are still displayed
Refresh the page
Attempt to reply to you discussion - the error will be generated
Any help would be much appreciated.
Thanks,
Johnny.

Open a ticket with Microsoft PSS. If this is indeed a bug, you will not be charged for the call.
Trevor Seward
Follow or contact me at...
&nbsp&nbsp
This post is my own opinion and does not necessarily reflect the opinion or view of Microsoft, its employees, or other MVPs.

Error using discussion (forum) iviews

hi EP/KM Gurus
I'm developing a dashboard with SAP EP 6.0, and I've got a java error (¿¿??) when displaying the discussion iviews. management one runs ok, but every time I open the discussion iview, nothing but the error code appears on the page
com.sapportals.wdf.WdfError
I can't figure out how to avoid that in order to be able to work with forums, please anybody who knows a way to repair it help me
-thanks in advance

Hi.
You have to configure the Web Services security of Discussions.
http://docs.oracle.com/cd/E28280_01/webcenter.1111/e12405/wcadm_security_wss.htm#WCADM6254
Basically the steps are:
Configure the security of the Discussions WebServices. Policies associated to the OWCDiscussionsServicePublic and OWCDiscussionsServiceAuthenticated
Configure Portal - Discussions connection according to the policies configured for these webservices.
Follow the above link and your issue will be resolved.
I hope this help.
Regards.

Java Error Message at Leopard Startup - anyone know how to fix pls?

I installed Leopard two days ago on G5.. ran no probs for two days and then - up pops error message. Have called Applecare and they have no info to help. IF ANYONE HAS ANY HELP I'D BE VERY VERY GRATEFUL. Here's the error message. Thanks!! i
"CANNOT LAUNCH JAVA APPLICATION
Uncaught exception in main method:
java.lang.NoSuchMethodError:
javax.security.sasl.Sasl.setSaslServerFactory(Ljavax/
security/saslSaslServerFactor;)V"
------------------------------------------------------------

As I posted to another discussion on the topic:
Thanks to all of you for your help with this frustrating problem. I think I lucked into the solution.
A look at my library/logs/crashreporter pointed to a problem brought on by a file associated with a program developed by igeekinc, a Japanese firm that makes backup and rescue software. Names connected to igeek include Prosoft, Indelible, Desktop Backup, Data Backup, and others.
My startup items file included the Executor file related to Indelible which seems to have been placed there some years ago when I tried out Prosoft's Data Backup.
I found a Data Backup folder within my Applications folder. It had an uninstaller program. Clicking on that removed the Data Backup, the Indelible Executor, and the Java error message.
Fingers crossed.
Gary

Java Error in discussion boards

Similar Messages

Maybe you are looking for