/// <summary>
/// Starts the train session.
/// </summary>
/// <param name="ignoreMetricThreshold">if set to <c>true</c> ignore metric threshold on applying model
/// instance.</param>
/// <returns>
/// New train session identifier.
/// </returns>
public Guid StartTrainSession(bool ignoreMetricThreshold = false)
{
try {
Select trainingSelectQuery = BuildTrainingSelectQuery();
var modelValidator = ClassFactory.Get <IMLModelValidator>();
modelValidator.CheckColumns(trainingSelectQuery);
modelValidator.CheckSqlQuery(trainingSelectQuery);
string outputColumnName = GetMetadataOutputName() ?? DefaultOutputColumnAlias;
ModelSchemaMetadata modelSchemaMetadata = _metadataGenerator.GenerateMetadata(trainingSelectQuery,
_modelConfig.MetaData, outputColumnName);
MergeFitParams(modelSchemaMetadata, _modelConfig);
Guid sessionId = _proxy.StartTrainSession(ServiceStackTextHelper.Serialize(modelSchemaMetadata),
_modelConfig.Id);
SaveTrainSessionId(sessionId);
InsertTrainSession(_modelConfig.Id, sessionId, TrainSessionState.DataTransferring,
ignoreMetricThreshold);
return(sessionId);
} catch (Exception ex) {
_modelConfig.TrainSessionId = Guid.NewGuid();
UpdateModelOnError(_modelConfig.Id, ex.Message);
InsertTrainSession(_modelConfig.Id, _modelConfig.TrainSessionId, TrainSessionState.Error,
ignoreMetricThreshold, ex.Message);
throw;
}
}
/// <summary>
/// Sets human-readable localized captions and display values for feature weights.
/// </summary>
/// <param name="userConnection">The user connection.</param>
/// <param name="features">The features.</param>
/// <param name="modelId">The model identifier.</param>
/// <param name="isPrediction"><c>true</c> if it's for prediction, false - for training.</param>
public static void LocalizeFeatures(UserConnection userConnection, List <LocalizedFeatureWeight> features,
Guid modelId, bool isPrediction)
{
IMLModelLoader loader = ClassFactory.Get <IMLModelLoader>();
if (!loader.TryLoadModel(userConnection, modelId, out MLModelConfig model))
{
return;
}
loader.LoadModelMetadataCaptions(userConnection, model);
var modelQueryBuilder = ClassFactory.Get <IMLModelQueryBuilder>(
new ConstructorArgument("userConnection", userConnection));
var query = isPrediction ? model.BatchPredictionQuery : model.TrainingSetQuery;
var select = modelQueryBuilder.BuildSelect(model.EntitySchemaId, query, model.ColumnExpressions);
IMLMetadataGenerator metadataGenerator = ClassFactory.Get <IMLMetadataGenerator>();
var metadata = metadataGenerator.GenerateMetadata(select, model.MetaData, fillColumnsInfo: true);
var columnExpressionMapping = modelQueryBuilder.GetColumnExpressionMapping(model.EntitySchemaId,
query, model.ColumnExpressions);
FillCaptions(userConnection, features, columnExpressionMapping, model.EntitySchemaId, metadata);
FillDisplayValues(userConnection, features, columnExpressionMapping, model.EntitySchemaId, metadata);
}