/// <summary>
/// Saves the predicted result in entity.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="entityId">The entity identifier.</param>
/// <param name="predictedResult">The predicted result.</param>
protected override void SaveEntityPredictedValues(MLModelConfig model, Guid entityId, double predictedResult)
{
var predictedValues = new Dictionary <MLModelConfig, double> {
{ model, predictedResult }
};
PredictionSaver.SaveEntityRegressionValues(model.EntitySchemaId, entityId, predictedValues);
}
/// <summary>
/// Saves the predicted result in entity.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="entityId">The entity identifier.</param>
/// <param name="predictedResult">The predicted result.</param>
protected override void SaveEntityPredictedValues(MLModelConfig model, Guid entityId,
ScoringOutput predictedResult)
{
var predictedValues = new Dictionary <MLModelConfig, double> {
{ model, predictedResult.Score }
};
PredictionSaver.SaveEntityScoredValues(model.EntitySchemaId, entityId, predictedValues);
}
protected override void SaveEntityPredictedValues(MLModelConfig model, Guid entityId,
List <ClassificationResult> predictedResult)
{
var connectionArg = new ConstructorArgument("userConnection", _userConnection);
var filter = ClassFactory.Get <MLBasePredictedValueFilter>(connectionArg);
var predictedValues = new Dictionary <MLModelConfig, List <ClassificationResult> > {
{ model, predictedResult }
};
PredictionSaver.SaveEntityPredictedValues(model.EntitySchemaId, entityId, predictedValues,
filter.OnSetupPredictedValue);
}
/// <summary>
/// Saves the prediction result.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="entityId">The entity identifier.</param>
/// <param name="predictedResult">The predicted result.</param>
protected override void SavePrediction(MLModelConfig model, Guid entityId, ScoringOutput predictedResult)
{
PredictionSaver.SavePrediction(model.Id, model.ModelInstanceUId, entityId, predictedResult);
}
/// <summary>
/// Saves the prediction result.
/// </summary>
/// <param name="model">The model.</param>
/// <param name="entityId">The entity identifier.</param>
/// <param name="predictedResult">The predicted result.</param>
protected override void SavePrediction(MLModelConfig model, Guid entityId,
List <ClassificationResult> predictedResult)
{
PredictionSaver.SavePrediction(model.Id, model.ModelInstanceUId, entityId, predictedResult);
}
/// <summary>
/// Saves the prediction result.
/// </summary>
/// <param name="modelId">The model identifier.</param>
/// <param name="modelInstanceUId">The model instance identifier.</param>
/// <param name="entityId">The entity identifier.</param>
/// <param name="value">Prediction result value.</param>
protected override void SavePredictionResult(Guid modelId, Guid modelInstanceUId, Guid entityId,
double value)
{
PredictionSaver.SavePrediction(modelId, modelInstanceUId, entityId, value);
}
