private string UseModelWithSingleItem(TextBox txtResult, String sTestSql)
{
// Create Predict Engine
//PredictionEngine<SqlData, SqlPrediction> predictionFunction = mlContext.Model.CreatePredictionEngine<SqlData, SqlPrediction>(model);
var predictor = _mlContext.Model.CreatePredictionEngine <AppInput, AppPrediction>(_model);
// Create Issue
AppInput issueSql = new AppInput
{
Text = sTestSql
};
// Predict
var resultPrediction = predictor.Predict(issueSql);
// Too many record have to save in short time so we must create a long sql strint instead use ony-by-one insert to history database
string sSQL = sTestSql.Replace("'", "''");
string str = "INSERT INTO [dbo].[history] ([TestNumber], [CatalogName], [TrainerName], [DatabaseName], [SqlCommand], [Label], [Prediction], [Probability], [Recorded])"
+ " VALUES (" + iTestNumber + ", N'" + sCatalog + "', N'" + sTrainer + "', N'" + sDatabase + "', N'" + sSQL + "', " + iLabel.ToString() + ", " + resultPrediction.Label
+ ", 0, '" + DateTime.Now.ToString("MM/dd/yyyy HH:mm:ss") + "');";
// Output Prediction
txtResult.Text += Environment.NewLine + "=============== Prediction Test of model with a single sample and test dataset ===============" + Environment.NewLine;
txtResult.Text += $"SQL Command: {sTestSql}" + Environment.NewLine +
$"Prediction: {((resultPrediction.Label == "1") ? "Positive" : "Negative")}" + Environment.NewLine;
txtResult.Text += "=============== End of Predictions ===============" + Environment.NewLine;
return(str);
}
private void UseModelWithSingleItem(TextBox txtResult, String sTestSql)
{
// Create Predictio nEngine1
//PredictionEngine<SqlData, SqlPrediction> predictionFunction = mlContext.Model.CreatePredictionEngine<SqlData, SqlPrediction>(_model);
var predictor = _mlContext.Model.CreatePredictionEngine <AppInput, AppPrediction>(_model);
// Create Issue
AppInput issueSql = new AppInput
{
Text = sTestSql
};
// Predict
var resultPrediction = predictor.Predict(issueSql);
Logs lo = new Logs();
if (bUrlRequest)
{
int iLog = lo.RecordLogFromURL(sCatalog, sTrainer, sDatabase, sTestSql, iLabel, Convert.ToInt32(resultPrediction.Label));
}
else
{
int iLog = lo.RecordLogFromInput(sCatalog, sTrainer, sDatabase, sTestSql, Convert.ToInt32(resultPrediction.Label));
}
// Output Prediction
txtResult.Text += Environment.NewLine + "=============== Prediction Test of model with a single sample and test dataset ===============" + Environment.NewLine;
txtResult.Text += $"SQL Command: {sTestSql}" + Environment.NewLine +
$"Prediction: {((resultPrediction.Label == "1") ? "Positive" : "Negative")}" + Environment.NewLine;
txtResult.Text += "=============== End of Predictions ===============" + Environment.NewLine;
}