private string GeneratePredictProgramCSFileContent(string namespaceValue)
{
var sampleData = Utils.GenerateSampleData(_settings.TrainDataset, _columnInferenceResult);
PredictProgram predictProgram = new PredictProgram()
{
TaskType = _settings.MlTask.ToString(),
LabelName = _settings.LabelName,
Namespace = namespaceValue,
HasHeader = _columnInferenceResult.TextLoaderOptions.HasHeader,
Separator = _columnInferenceResult.TextLoaderOptions.Separators.FirstOrDefault(),
AllowQuoting = _columnInferenceResult.TextLoaderOptions.AllowQuoting,
AllowSparse = _columnInferenceResult.TextLoaderOptions.AllowSparse,
Target = _settings.Target,
SampleData = sampleData,
};
return(predictProgram.TransformText());
}
public void TestPredictProgram_WithSampleData()
{
var predictProgram = new PredictProgram()
{
SampleData = new Dictionary <string, string>()
{
{ "key1", "\"key1\"" },
{ "key2", "\"key2\"" },
{ "key3", "\"key\\\"3\"" },
},
TaskType = "null",
Features = new List <string>(),
Namespace = "Namespace",
LabelName = "LabelName",
Separator = ','
};
Approvals.Verify(predictProgram.TransformText());
}
private string GeneratePredictProgramCSFileContent(string namespaceValue)
{
var columns = _columnInferenceResult.TextLoaderOptions.Columns;
var featuresList = columns.Where((str) => str.Name != _settings.LabelName).Select((str) => str.Name).ToList();
PredictProgram predictProgram = new PredictProgram()
{
TaskType = _settings.MlTask.ToString(),
LabelName = _settings.LabelName,
Namespace = namespaceValue,
TestDataPath = _settings.TestDataset,
TrainDataPath = _settings.TrainDataset,
HasHeader = _columnInferenceResult.TextLoaderOptions.HasHeader,
Separator = _columnInferenceResult.TextLoaderOptions.Separators.FirstOrDefault(),
AllowQuoting = _columnInferenceResult.TextLoaderOptions.AllowQuoting,
AllowSparse = _columnInferenceResult.TextLoaderOptions.AllowSparse,
Features = featuresList,
Target = _settings.Target,
};
return(predictProgram.TransformText());
}