Sets the score a comparison gets when an error occurs.
Namespace: NetricsServerInterface
Assembly: NetricsServerInterface (in NetricsServerInterface.dll)
Syntax
| Visual Basic (Declaration) |
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| Public Sub setInvalidScore( _ ByVal score As Double _ ) _ Implements INetricsSearchOpts.setInvalidScore |
| C# |
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| public void setInvalidScore( double score ) |
| C++ |
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| public: void setInvalidScore( double score ) sealed |
| J# |
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| public void setInvalidScore( double score ) |
| JScript |
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| public
function setInvalidScore( score : double ) |
Implements
INetricsSearchOpts.setInvalidScore
Remarks
A comparison will receive this score when an error occurs such as an invalid date in a date type field or invalid data in a numerics type field. In some situations it is more appropriate to set this score to 0.0 or -1.0, and the user is therefore allowed to configure this setting.
Example
This sample code shows how to specify search options such as invalidscore on a multi-query operation.
Copy Code
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// This is an example of using some search options with a multi-query using both a Simple and Predicate query.
// This requires first configuring a Simple query using the query string along with the fields to be searched
// followed by configuring a Predicate query and then either "And" or "Or" them together.
//
// In this we will query the "names" table using a query string against the "last" field and then configuring
// the Predicate query to look for the year 2001 in the DOB field which is a date field. If the DOB field contains
// an invalid date we will assign a score of .2 by using the setInvalidScore method. Each of these queries are referred
// to as a querylet. We will apply a higher weight to the "last" field querylet.
using System;
using NetricsServerInterface;
class MyClass
{
private static NetricsServerInterface.NetricsServerInterface si = null;
public static void Main()
{
try
{
String host = "localhost";
int port = 5051;
si = new NetricsServerInterface.NetricsServerInterface(host, port);
// Table is the TIBCO Patterns Engine table to be search/matched against query
String table = "names";
// Going to use 2 NetricsQuery for the search configuration
NetricsQuery[] nqs = new NetricsQuery[2];
// Create NetricsSearchOpts object and then set some options
NetricsSearchOpts opts = new NetricsSearchOpts();
// Set the search to SYMMETRIC scoring mode
opts.scoreType((int)NetricsSearchOpts.score_types.SCORE_SYMMETRIC);
// Set cutoff to exact matches plus the next 3 highest similarity score
opts.useExactPlusScoreCutoff(3);
// Create the NetricsSearchCfg pointing to the table to be searched/matched against
NetricsSearchCfg tblCfg = new NetricsSearchCfg(table);
// Query will contain the query string for the first querylet which is "last
String query = "brown";
// FieldNames contain the fields within the table to be searhed/matched against.
// If fieldNames is set to null then all fields will be searched/matched against
String[] fieldNames = { "last" };
// Create a Simple query for the "last" names search
nqs[0] = NetricsQuery.Simple(query, fieldNames, null);
// Set up the second query of type Predicate
nqs[1] = NetricsQuery.Predicate("\"2001\" IN $\"DOB\"");
// Set the invalid score to .2 if the DOB field contains an invalid date
nqs[1].setInvalidScore(.2);
// QueryletWeights is an array that must be the same length as the number of querylets
// and is the weight applied to each querylet in the search which impacts the similarity
// scrore. In this case there will be two querylets that will be ANDed together to create
// a single search configuration
double[] queryletWeights = { 1.0, .5 };
// Now AND the two Simple querys together to create the final NetricsQuery for the search
NetricsQuery nqAnded = NetricsQuery.And(queryletWeights, nqs);
// Set the NetricsSearchCfg;
tblCfg.setNetricsQuery(nqAnded);
// Perform the search/match using the NetricsSearchCfg and NetricsSearchOpts
NetricsSearchResponse resp = si.search(tblCfg, opts);
String s = "";
// Get the results of the search/match
NetricsSearchResult[] res = resp.getSearchResults();
// Create viables for result processing
String[] xfieldNames;
String[] xfields;
// Iterate through the result records
for (int i = 0; i < res.Length; i++)
{
// Get the fieldNames in the result record
xfieldNames = res[i].getFieldNames();
// Get the data for each fieldName in result record
xfields = res[i].getFields();
// Get the score for this result record
double score = res[i].getMatchScore();
// Build the printline for the result record
s = s + "Rank=" + i + ", Score=" + score.ToString();
for (int x = 0; x < xfields.Length; x++)
{
s = s + ", " + xfieldNames[x] + "=" + xfields[x];
}
s = s + "\n";
}
Console.WriteLine(s);
}
catch (NetricsException e)
{
Console.Write(e.getErrorDescription() + "\n");
}
}
}
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