Problems With Neural Net Viewer, Lift Chart And Predictions Still Ocurring In SP2

Nov 24, 2006

Greetings,



I have a mining structure that I am using to perform a text-mining
classification task. The mining structure contains three models: a
decision tree, a naive bayes and a neural network.


Both the decision tree and the naive bayes models process without
any problems, but I am having significant difficulties with the neural
network model.


Initially when I processed the model, processing would fail altogether with the following error message:



"Memory error: Allocation failure : Not enough storage is available to process this command"



This was remedied by taking the steps prescribed in
http://support.microsoft.com/kb/917885 (I upgraded to SQL 2005 SP1 and
applied all available hotfixes listed in
http://support.microsoft.com/kb/918222/). This got me to the point
where the model (seemingly) processed correctly after restricting the
MAXIMUM_INPUT_ATTRIBUTES to a relatively low number. So after
processing, I went to try and browse the neural network model and view
the lift chart...



<error>

"Execution of the managed stored procedure GetAttributeScores
failed with the following error: Exception has been thrown by the
target of an invocation.Input string was not in a correct format.."

</error>



(see http://forums.microsoft.com/TechNet/ShowPost.aspx?PostID=935340&SiteID=17)



Also when I would attempt to view the lift chart and the
classification matrix the queries would time out with the following
error message:



<error>

XML for Analysis parser: The XML for Analysis request timed out before it was completed.

Execution of the managed stored procedure
GenerateLiftTableUsingDatasource failed with the following error:
Exception has been thrown by the target of an
invocation.Microsoft::AnalysisServices::AdomdServer::AdomdException.

</error>



Now, my poking around on Technet lead me to believe that this issue
could finally be resolved by uprading to the CTP release of SQL server
2005 SP2. Now I am still encountering problems. When I go to browse the
model in the Neural Network Viewer, I see the correct drop down menus
to select attributes and attribute values in the "Input" and "Output"
panes but I see no data displayed in the "Variables" pane at the
bottom.


Interestingly, while I cannot view the model contents in the
graphical viewer, the mining model contents viewer reveals model
contents that look to be pretty normal for a trained neural network.



Attempts to view the lift chart time out with the error message:



<error>

XML for Analysis parser: The XML for Analysis request timed out before it was completed.

Execution of the managed stored procedure
GenerateLiftTableUsingDatasource failed with the following error:
Exception has been thrown by the target of an
invocation.Microsoft::AnalysisServices::AdomdServer::AdomdException.

</error>



and when I run predictions against the trained NN model in the
"Mining Model Prediction" pane it predicts the same value for every
case in the testing set.



Any thoughts?

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Question On Lift Value Of Neural Network For Each Attribute Value

Jul 16, 2007

Hi, all,



What can we tell from the lift value of the attribute value in Neural Network? (any so-called threshold of this lift value which identifies whether or not an attribute value is important or whatever to the selecte output attribute value?) I mean with lift value of a particular value, when we describe the characteristics of a segmentaion with Neural network, what can we actually describe it?



I just dont know what can we desribe this for the segmentation by neural network viewer?



I am looking forward to hearing from you shortly and thansk a lot.



With best regards,



Yours sincerely,



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How Get The Lift Chart In Datamining.i Am Not Geeting Mining Accuracy Chart And Mining Model Prediction

Sep 14, 2007



Hi,
I am not getting Mining Accuracy Chart and Min ing Model Prediction
Plz tel me how to do.And how to use the filter input data used to generate the lift chart and
select predictable mining model columns to show in the lift chart

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Feb 13, 2007

Is there a Lift chart viewer like the model viewers that can be embedded within your windows apps ? If not, then can this be easily created via Adomd.net api calls ? Has anyone done this easily in custom DM applications ?

Thanks in advance,

anil

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Dec 25, 2007

how can i change the language of lift chart for description of vertical axis and horizontal axis and howcan i see the script of this chart for time series algorithm

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Aug 2, 2007

I have read the threads regarding the Neural Network Viewer and I think I have a similar problem. I do have Service Pack 2 installed and I'm running the x64 version of SQL 2005.

I'm building a model from a single relational CASE table. Granted the table has many columns summarized at the customer level but there are it is well formed and has no NULL values (plenty of zero or blank values though). The only time I can get the NN Viewer to work is when I accept the attribute recommendations. It seems once I stray from these recommendation, even if there is still correlation with an attribute, I cannot view the model using the NN Viewer. My latest error message says:

"The provider could not determine the String value. For example, the row was just created, the default for the String column was not available, and the consumer had not yet set a new String value."

I get this message even when all input attributes are Continuous so I'm not sure what String column it is referring to.

Any help is greatly appreciated. I'm in a time crunch and I have sold the client on SQL Server 2005 capabilities. It's a bit embarrasing if I can't get this resolved.

-- Steve

P.S.: I don't recall having any issues with the NN Viewer prior to Service Pack 2 (although others have). Have you done regression testing to test this issue?

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Question On Value Of Probability Of Value 1 Or 2 In Neural Network Viewer

Jul 16, 2007

Hi, all,



I am confused about the value of Probability of Value 1 or 2 (on a particular attribute value) in Neural Network viewer. E.g. the value of Probability of value 1 is actually very low (the same to the value of Probability of value 2), but why the bar which shows the strength of the probability of these two values are still so strong even stronger than other values of probability of value 1 or 2 based on other attribute values which have a much higher probability of value 1 or 2?



And how does the algorithm calculate the Probability of attribute value in nerual network by the way?



Hope my question is clear.



I am looking forward to hearing from you shortly and thanks a lot in advance.



With best regards,



Yours sincerely,



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Jan 1, 2008

Hi,

I tried to create a lift chart with my custom plugin-algorithmn. The chart seems to be correct, but before it is drawn, an error occours:


Function ... Row 1 ... Column 43 ... cannot be used in this context.
(I've translated the key facts of this error message from german)

What did I do wrong?

Best wishes,
Manfred

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Jul 17, 2006

Hi,


I am having trouble really understanding what makes a model accurate and effective at predicting some attribute. I can't seem to find any clear documentation about the mining legend of the lift chart on the Mining Accuracy Chart tab when working with the Data Mining Structure designer in VS 2005. Specifically, I would like to know more about what numbers in the Score, Population Correct and Predict Probability columns mean, and why they change when you move the vertical gray bar on the Lift Chart. Also, what is generally a good score to be aiming for, provided that it is highly difficult to get 100% accuracy with the kind of data that I am using.

Any more information on this subject is much appreciated. Thank you for your time,

Chris Burns

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Nov 17, 2006

I've successfully created and processed a very simple neural network mining model (defined against a cube). However, when I go to the model viewer in BI studio, it displays the following error:

"Execution of the managed stored procedure GetAttributeScores failed with the following error: Exception has been thrown by the target of an invocation.Input string was not in a correct format.."

Any ideas about what's going wrong? This is with SQL Server 2005 SP1.

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Jan 4, 2007

Hello--

We're running into an issue where analysts are having problems obtaining lift charts (via the Mining Accuracy Chart UI available in the Visual Studio Analysis Services project) and performing prediction (via the Mining Model Prediction UI).

The issue seems to be related to the underlying analyst security model. Note that this post is related to:

http://forums.microsoft.com/MSDN/ShowPost.aspx?PostID=924641&SiteID=1


Analysts that work on the same problem will only have access to:

- A sandbox relational database (which contains views into the same source database). The analyst is db_owner of the sandbox database, so she/he can create data transformations required, etc. The sandbox database contains views to the source database, but the analyst only has read-access to the specific data elements needed from the source DB. So, they are very restricted w.r.t. the source database, but are db_owners of their sandbox relational databases. Note that the analyst will connect to he database via Windows Authentication.

- An Analysis Services sandbox database to use for their modeling, etc. In this AS sandbox db, we've created a role called "Administrator" and checked the permissions: Full control (Administrator), Process database, and Read definition. The analyst's windows account is the "user" associated with this role.

Also, in this situation, the SQL Server 2005 Relational Engine and Analysis Services are running on a single machine. The goal of this security model is to provide analysts with the ability to work in their "workspaces" (both SQL and AS), but not to see other analysts work, etc.

Under this model, Analysts are able to deploy mining models when the Data Source object that points to their relational "sandbox" DB is set-up with "Impersonation Information" = "Use a specific user name and password", where the Analyst provides their domain account information.

But, when trying to build a lift chart using the same data source view objects that were used to successfully train the model, the following error is occurring consistently:

Window Title: "Loading Mining Accuracy Chart"
Window Text: "Failed to execute the query due to the following error: Execution of the managed stored rocedure GenerateLiftTableUsingDatasource failed with the following error: Exception has been thrown by the target of invocation. Either '<domain><login>' user does not have permission to access the '' object, or the object does not exist. Errors in the high-level relational engine. A connection could not be made to the data source specified in the query. Errors in the high-level relational engine. A connection could not be made to the data source specified in the query.."

Since the Analyst was able to build the model with her/his given '<domain><login>' credentials, it is puzzling why the lift chart is failing.

Thanks in advance for your help,
- Paul

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May 3, 2007

Hi, all here,

Why the lift chart for my mining models evaluation does not have a random guess model line there? As normal, there should be lines like trained models, ideal model, and random guess model? Why is that? What did I miss? Could any experts here shed me any light on that.

Thanks a lot in advance for your advices and help and I am looking forward to hearing from you shortly.

With best regards,

Yours sincerely,

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Jun 4, 2006

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Sep 5, 2007

Hi,I am studying data mining features of SSAS and for a workshop I'vecreated 2 views derived from vTargetMail view of AdventureWorksDW.Train data consists every record except those in Pacific, and testview consists only records from Pacific area.1. I've created a mining structure based on Decision Tree and selectedBikeBuyer as predictable column.2. According to input column suggestions, I've selected Age,Eng.Education, NumberCarsOwned, YearlyIncome, CommuteDistance,NumberChildsatHome and TotalChildren as input columns,3. I've modified no other setting, and deployed project.I can get training results in decision tree browser and dependencynetwork (and both seem to give rather logical results) however, when Itry to browse lift chart or classification matrix I get an emptyclass.matr. and a lift chart of a single 45 degree line.Am I missing a step, or must I do some fine-tuning on (what)parameters?Thanks...

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Broken Lift Chart And Empty Classification Matrix In Data Mining

Sep 5, 2007

Hi,
I am studying data mining features of SSAS and for a workshop I've
created 2 views derived from vTargetMail view of AdventureWorksDW.
Train data consists every record except those in Pacific, and test
view consists only records from Pacific area.


1. I've created a mining structure based on Decision Tree and selected
BikeBuyer as predictable column.
2. According to input column suggestions, I've selected Age,
Eng.Education, NumberCarsOwned, YearlyIncome, CommuteDistance,
NumberChildsatHome and TotalChildren as input columns,
3. I've modified no other setting, and deployed project.



I can get training results in decision tree browser and dependency
network (and both seem to give rather logical results) however, when I
try to browse lift chart or classification matrix I get an empty
class.matr. and a lift chart of a single 45 degree line.



Am I missing a step, or must I do some fine-tuning on (what)
parameters?

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May 3, 2007

Hi, all experts here,

I am a bit confused for the model evaluation (lift chart), should we map all the columns for both the mining structure and the case table? I mean for those predictive models, we have a predict column, shouldnt we ignore the mapping of the predictive column between the mining structure and the case table? But it seemes we are not allowed to miss the predictive column mapping between the mining structure and the case table.

Why is that? Could any experts here give me some explanation on that?

Hope my question is clear for your help.

Thanks a lot and I am looking forward to hearing from you shortly.

With best regards,

Yours sincerely,

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Feb 19, 2008

Hi!

I bought the book €œData Mining with SQL Server 2005€?, but I can€™t find the solution to a problem I have.

I want to retrieve from C# the logistic regression Attribute Value (AV) Scores for the Logistic Regression Algorithm. I can see the Scores from the Microsoft Logistic Regression Viewer (the same of Neural Network Viewer), but I cannot retrieve them via DMX, OLEDB or similar.

Otherwise, is there a formula that I can use to compute that score from the coefficient, support, or probability values of the Attribute Value pair (I can read this values from DMX)?
I can access to them via DMX:

NODE_DISTRIBUTION -> SUPPORT and PROBABILITY ATTRIBUTE_VALUE...

with a query like

SELECT FLATTENED (SELECT ATTRIBUTE_NAME, ATTRIBUTE_VALUE FROM NODE_DISTRIBUTION WHERE VALUETYPE = ... ) FROM [MyModel].CONTENT WHERE NODE_TYPE ....

Thanks in advance

Regards,
Marco

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Sep 26, 2006

Hi,
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However, I can€™t work out how the other two are derived in particular the 'SCORE'. To give a live example the scores were as follows:

Model Score Pop Correct Pred Probability
Decision Trees 0.83 76.59% 54.28%
Neural Network 0.75 67.63% 50.05%
Ideal Model 100.00%


Can anyone help with this and give a detailed explanation?

Many thanks,
S Rajput

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Sep 21, 2006

I am trying to get predictions and insert them into a DB table.

Following is the code I am using , but I am getting an error saying

'

An error occurred while preparing the query

,

Pl. help.

begin

declare @v_query varchar(5000);
declare @full_query varchar(5000);
declare @v_dbquery varchar (200);

set @v_dbquery = char(39)+'SELECT
[ProspectAlternateKey],
[FirstName],
[LastName],
[MaritalStatus],
[Gender],
[YearlyIncome],
[TotalChildren],
[NumberChildrenAtHome],
[HouseOwnerFlag],
[NumberCarsOwned]
FROM
[dbo].[ProspectiveBuyer]'+char(39);

set @v_query = 'SELECT
[TM_Cluster].[Bike Buyer],
t.[ProspectAlternateKey],
PredictProbability([TM_Cluster].[Bike Buyer])
From
[TM_Cluster]
PREDICTION JOIN
OPENQUERY([Adventure Works DW],@v_dbquery) AS t
ON
[TM_Cluster].[Marital Status] = t.[MaritalStatus] AND
[TM_Cluster].[Gender] = t.[Gender] AND
[TM_Cluster].[Yearly Income] = t.[YearlyIncome] AND
[TM_Cluster].[Total Children] = t.[TotalChildren] AND
[TM_Cluster].[Number Children At Home] = t.[NumberChildrenAtHome] AND
[TM_Cluster].[House Owner Flag] = t.[HouseOwnerFlag] AND
[TM_Cluster].[Number Cars Owned] = t.[NumberCarsOwned]'
-- print @v_query

set @full_query = 'select * from openquery (DMserver,'+char(39)+ @v_query +char(39)+')' ;

print @full_query;

EXEC (@full_query);


end

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May 17, 2007

Hi,



I've been playing around with the association mining model in SQL server 2005 and built a market-basket analysis of my data that I'm pretty happy with. The next task for me is figuring out how to run DMX queries against the data that I've just mined, so we may possibly use it in a web based application. This wouldn't necessarily be a difficult problem (and still may not be), but every example I've seen for the Mining Model Prediction Designer uses relational databases and I built my mining model off OLAP. Therefore, my predictable attribute is nested and when relating the mining model structure to the relational database that the cube was built off always gives me an error:



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So you may better understand my question, my association mining structure hierarchy looks as this..



[Model] ProductRecommend

[Case][Key]CustomerList

[Case][Attribute]CompanyName

[NestedTable]Product

[Nested][Key]PRODUCTCLASSID

[Nested][Attribute]PRODUCT



With that in mind, I'm trying to perform a query simliar to this:



SELECT

PredictProbability([ProductRecommend].[Product].[PRODUCTCLASSID]), <---- Throws Error for PredictProbability syntax no matter what I try to get to [PRODUCTCLASSID]

(SELECT [PRODUCT] FROM [ProductRecommend].[Product])

From

[ProductRecommend]

NATURAL PREDICTION JOIN

(SELECT 'test' AS [COMPANYNAME],

(SELECT '1234' AS [PRODUCTCLASSID],

'ProductA' AS [PRODUCT]) AS [Product]) AS t



Thanks again for any help!

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May 2, 2007

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- MiningModel.OutputAttribute
- PredictProbability(MiningModel.OutputAttribute)
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In this particular application, we would have obtained better results if the predictions were made at the leaf-nodes.



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2. Is there a way to "force" predictions to occur at leaf nodes via DMX?



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The others are default.

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OPENROWSET
('SQLNCLI.1','Data Source=STAG-XP-EDITION;user=sa;password=***;Initial Catalog=OpenFind_StockagePreNeurone',
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I created a test table (name - "Nset") with the columns:
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id n1 n2 n3 c1

1 0,1 0,1 0,6 one

2 0,2 0,1 0,5 one

3 0,7 0,5 0,1 two

4 0,4 0,9 0,3 two

5 0,5 0,1 0,5 three

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SELECT

PREDICT([Nset].[c1])

FROM

[Nset]

NATURAL PREDICTION JOIN

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But, when I filled the column c1 with numerical values (one = 1, two=2, three=3) and changed type to int, a predict query left off to work correctly.

Previous query return 4.

And other tests showed that a value returned large on unit.

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