/// <summary>Defines document selection query parameters</summary>
/// <remarks><para>It will set the parameters to the current DSQ instance. For query text to be used you should have at least one TermWeight factor in the DS ScoreModel</para></remarks>
/// <param name="docLimit">Number of documents to be selected</param>
/// <param name="trashold">Score min limit, leave 0 to disable score limit</param>
/// <param name="query">Text of the query to be used for document score operation</param>
/// <seealso cref="aceOperationSetExecutorBase"/>
public void aceOperation_setDocumentSelectionQuery(
[Description("Number of documents to be selected")] Int32 docLimit = 3,
[Description("Score min limit, leave 0 to disable score limit")] Double trashold = 0.0,
[Description("Text of the query to be used for document score operation")] String query = " ",
[Description("Result is limited to [docLimit] by domain level, not in total")] DocumentSelectQueryOptions options = DocumentSelectQueryOptions.ApplyDomainLevelLimits)
{
data.ranking.query = new DocumentSelectQuery();
data.ranking.query.QueryTerms = query;
data.ranking.query.SizeLimit = docLimit;
data.ranking.query.TrasholdLimit = trashold;
data.ranking.query.options = options;
}
/// <summary>Classification procedure with document selection using precompiled ranking file</summary>
/// <remarks><para>Loads external document selection score table, applies query filter over input dataset and performs classification evaluation</para></remarks>
/// <param name="outputName">Name for result</param>
/// <param name="DSFilename">Name of Document Selection ranking file</param>
/// <param name="DSCount">Number of documents to be selected</param>
/// <seealso cref="aceOperationSetExecutorBase"/>
public void aceOperation_runClassificationWithDS(
[Description("Name for result")] String outputName = "word",
[Description("Name of Document Selection ranking file")] String DSFilename = "",
[Description("Number of documents to be selected")] Int32 DSCount = 5,
[Description("Query options")] DocumentSelectQueryOptions options = DocumentSelectQueryOptions.none,
[Description("Skip existing experiment")] Boolean skipExisting = true)
{
SetupDocumentClassification setup = docClassification.data.CloneViaXML();
setup.LearnFrom(mainContext.procedureCommons);
setup.OutputFilename = outputName;
setup.documentSelectQuery = docSelection.data.ranking.query.CloneViaXML();
//docClassification.data.documentSelectQuery.
// setup.documentSelectQuery = docSelection.data.ranking.query.CloneViaXML();
setup.documentSelectQuery.PrecompiledScoresFilename = DSFilename;
setup.documentSelectQuery.SizeLimit = DSCount;
if (options != DocumentSelectQueryOptions.none)
{
setup.documentSelectQuery.options = options;
}
//setup.reportOptions = mainContext.reportOptions;
ProceduralFolderFor <ProcedureClassification, SetupDocumentClassification, OperationContext, ExperimentModelExecutionContext> procedures
= new ProceduralFolderFor <ProcedureClassification, SetupDocumentClassification, OperationContext, ExperimentModelExecutionContext>(mainContext.folds, setup, mainContext.notes, parent);
// contextSet = procedures.Execute(mainContext.ParallelThreads, output, contextSet, mainContext);
proceduralStack.Push(procedures);
}
