Setting Parameters For Neural Networks

Jun 13, 2007

I am trying to get familiar with Microsoft neural networks to predict property prices. The results are better but I wanted to amend the default parameters passed to the neural network.

So on MINING MODEL TAB when I right click and go into SET ALGORITHM PARAMETERS, I can't see any parameters there, if I try to enter a parameter for example MAXIMUM_STATES and process the model I get the following error message

"The 'maximum_states' data mining parameter is not valid for the 'My Model' model"

I also added a decision tree model to the same structure and when go into SET ALGORITHM PARAMETERS pop menu it comes with many pre populated parameters with default values.

My question is that why I am unable to add parameters to the NEURAL NETWORK and why it does not come with pre populated parameters like DECISION TREES.

Your help will be much appreciated.

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Question About Neural Networks

Feb 6, 2007

I created a test table (name - "Nset") with the columns:
id (int), n1 (float), n2 (float), n3 (float) and c1 (varchar).
Then filled a table the followings information:
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

And created a neural network with tuning by default. "id"-field is the key. n1, n2 and n3 are inputs. c1 - predict.

Then i tryed predict query, like:

SELECT

PREDICT([Nset].[c1])

FROM

[Nset]

NATURAL PREDICTION JOIN

(SELECT 0,5 AS [n1], 0,1 AS [n2], 0,5 AS [n3]) AS t

The result is "three". This is correct. And some other tests appeared correct.

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.

Is this correct?

Thanks.

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Microsoft Neural Networks Question

Jan 17, 2007



1) Scaling of Inputs

Is the standarization of the inputs done automatically when running the Microsoft Neural Network algorithm or I should be transforming the variables before running the algorithm?

2) Predicted Probabilities

How do I create a table with the actual predicted probabilities of the model for each observation? In the Mining Model Prediction tab the output would be either 0 or 1, my question is how can I obtain the actual value of the estimated probability?



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I am getting negative predictions (continuous) from a neural network model that has been trained on data that only contains positive values or zeros (no nulls).

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May 9, 2006

I have some accounting data, with some transaction attributes and amounts.
I'm using Decision Trees to try and predict the next month's amount for certain combinations of attributes.

I've tried two different structures for the model:

A: one with 9 discrete text input attributes.
B: And another with the same 9 attributes + a avarage Amount for all combinations of the nine attribute for every transaction.


When i've processed them and look in the dependency network, it says that the strongest link for the structure A is attribute "1".
And for the second its the avarage-Amount attribute.
Okey, that seems fine, but the second strongest link in structure B is attribute "2".

Shouldn't it be attribute 1 like in structure A?



Second question, if I run the same data in a Neural Network model, the prediction becomes much worst then the decision tree.
I get many predictions that are negative values even though all training data contains positiv values.
The StDev becomes the same for every row also..
What am I doing wrong with that one. I have alot of transactions and a read somewhere that a Neural Network should work better than a decision tree in a case similar to mine.
The score in the "Lift chart" for the Neural Network model becomes 0,00 and for Decision Trees with the same data I get around 110.

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Jan 24, 2006

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<asp:Parameter Name="RECEIVED_BY" Type="String" />
<asp:Parameter Name="CALL_DATETIME" Type="DateTime" />
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Dec 26, 2007

I have an SQLDataSource. The SQL is
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Getting Error When Setting Parameters Dynamically

Feb 5, 2008

Hi All,

I am creating the report and setting the datasource(dataset) dynamically to the report. I want to set the parameters also dynamically. am using Report Viewer to process the report.


When i set the parameters locally, i am getting the below error:
An error occurred during local report processing


Here is my code:
da = new SqlDataAdapter(strqry, conn);
ds = new DataSet();
da.Fill(ds);

ReportDataSource ReportDataSourceX = new ReportDataSource();
ReportDataSourceX.Value = ds.Tables[0];
ReportParameter[] parm = new ReportParameter[2];

parm[0] = new ReportParameter("Business_Function", "SQMO");
parm[1] = new ReportParameter("Application", "ETMRS");
parm[0] = new ReportParameter("Owner", "Subbu");
//parm[0] = new ReportParameter("Business_Function", ds.Tables[0].Columns["Business_Function"].ToString());
//parm[1] = new ReportParameter("Application", ds.Tables[0].Columns["Application"].ToString());
//parm[0] = new ReportParameter("Owner", ds.Tables[0].Columns["Owner"].ToString());

RptViewer.ProcessingMode = Microsoft.Reporting.WebForms.ProcessingMode.Local;

RptViewer.LocalReport.ReportPath = "C:\ETMRS Reporting\ETMRS Reports\ETMRS Reports\PlannedTestCasesSummary.rdl";
//RptViewer.LocalReport.SetParameters(parm);

RptViewer.LocalReport.DataSources.Add(ReportDataSourceX);
RptViewer.LocalReport.SetParameters(parm);
RptViewer.LocalReport.Refresh();


Can anyone please help me in resloving this issue.

Thanks in advance,
SR.

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Does anyone know how to set multi-value parameters using ReportExecutionService in C#?



If I have



rsExec = new ReportExecutionService2005.ReportExecutionService();

.

.

.

ReportExecutionService2005.ParameterValue[] parameters = new ReportExecutionService2005.ParameterValue[2];



parameters[0] = new ReportExecutionService2005.ParameterValue();

parameters[0].Label = "Report_Begin_Date";

parameters[0].Name = "Report_Begin_Date";

parameters[0].Value = "4/15/2007";



parameters[1] = new ReportExecutionService2005.ParameterValue();

parameters[1].Label = "SalesID";

parameters[1].Name = "SalesID";

parameters[1].Value = ??? //Here, this parameter should accept multiple values like 200, 201, 202, etc.



rsExec.SetExecutionParameters(parameters, "en-us");



How would I set the SalesID to take multiple values?

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Hello.
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The available values for the parameters "age" and "sex" are those datasets:

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The problem is thet the query on table1 takes a lot of time and in this case I need to run her three times.

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Aug 31, 2007

Hello all,
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I am having trouble setting up my Pull Subscription and I am new to replication.



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use [TheDB]

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GO



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Jun 10, 2007

General data mining books talk about NN taking inputs which are between -1 and 1. Even Jamie's book says that's what it generally receives. I don't think this is a requirement for the Microsoft algorithm, but I wanted to ask if it was a best practice. If you're feeding it something like home values where 99% of homes are under $1 million you can use some normalization trick so that mansions don't skew the data. But if your data doesn't need such normalization, is there any need to normalize it to the -1 to 1 range?



Also, is the Microsoft algorithm sensitive to the relative size of different inputs? For instance, if InputA is home size (500-50,000 square feet) and InputB is months unoccupied (0-24 months), does that cause the Microsoft NN to weigh home size more heavily?

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Neural Network Problem

Jun 9, 2006

Hello , using MS Visual studio 2005 , I deployed sql table with NN algorithm , it successfuly deployed . But when I tabbed to "Mining Model Viewer" it gave me the following error :



The following system error occurred: Invalid procedure call or argument.
Execution of the managed stored procedure GetAttributeScores failed with the following error: Exception has been thrown by the target of an invocation.Microsoft::AnalysisServices::AdomdServer::AdomdException.

what can I do ?



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Microsoft Neural Network, How Do I Feed It ?

Aug 1, 2006

Hello there,

I'm working with Analysis sevices 2005 developer edition. Looking through the documentation i becomes apperent that the NN algorithm takes 255 input attributes by default. This can be changed to any integer value, OK....

My problem is that I want to feed the network with 40000 input variables. In order to do so, I will have to do a select:

SELECT fld1, fld2, ...... fld39999, fld40000

FROM tblSometable



However, this is not possible, as the books online describes it is only possible to return 4096 columns from a select statement.

Question : How do I populate a NN in AS2005, with nmore than 4096 inputs ?!



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