protected override IDataView GetOverallResultsCore(IDataView overall)
{
var args = new DropColumnsTransform.Arguments();
args.Column = new[]
{
AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies,
AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK,
AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP,
AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos
};
return(new DropColumnsTransform(Host, args, overall));
}
protected override void PrintOverallResultsCore(IChannel ch, string filename, Dictionary <string, IDataView>[] metrics)
{
ch.AssertNonEmpty(metrics);
IDataView overall;
if (!TryGetOverallMetrics(metrics, out overall))
{
throw ch.Except("No overall metrics found");
}
var args = new DropColumnsTransform.Arguments();
args.Column = new[]
{
AnomalyDetectionEvaluator.OverallMetrics.NumAnomalies,
AnomalyDetectionEvaluator.OverallMetrics.ThreshAtK,
AnomalyDetectionEvaluator.OverallMetrics.ThreshAtP,
AnomalyDetectionEvaluator.OverallMetrics.ThreshAtNumPos
};
overall = new DropColumnsTransform(Host, args, overall);
MetricWriter.PrintOverallMetrics(Host, ch, filename, overall, metrics.Length);
}
public static IDataTransform Create(IHostEnvironment env, Arguments args, IDataView input)
{
Contracts.CheckValue(env, nameof(env));
var h = env.Register(RegistrationName);
h.CheckValue(args, nameof(args));
h.CheckValue(input, nameof(input));
h.CheckUserArg(Utils.Size(args.Column) > 0, nameof(args.Column), "Columns must be specified");
h.CheckUserArg(args.Tokenizer != null, nameof(args.Tokenizer), "tokenizer must be specified");
// To each input column to the WordHashBagTransform, a tokenize transform is applied,
// followed by applying WordHashVectorizeTransform.
// Since WordHashBagTransform is a many-to-one column transform, for each
// WordHashBagTransform.Column we may need to define multiple tokenize transform columns.
// NgramHashExtractorTransform may need to define an identical number of HashTransform.Columns.
// The intermediate columns are dropped at the end of using a DropColumnsTransform.
IDataView view = input;
var uniqueSourceNames = NgramExtractionUtils.GenerateUniqueSourceNames(h, args.Column, view.Schema);
Contracts.Assert(uniqueSourceNames.Length == args.Column.Length);
var tokenizeColumns = new List <WordBagTransform.TokenizeColumn>();
var extractorCols = new NgramHashExtractorTransform.Column[args.Column.Length];
var colCount = args.Column.Length;
List <string> tmpColNames = new List <string>();
for (int iinfo = 0; iinfo < colCount; iinfo++)
{
var column = args.Column[iinfo];
int srcCount = column.Source.Length;
var curTmpNames = new string[srcCount];
Contracts.Assert(uniqueSourceNames[iinfo].Length == args.Column[iinfo].Source.Length);
for (int isrc = 0; isrc < srcCount; isrc++)
{
tokenizeColumns.Add(
new WordBagTransform.TokenizeColumn
{
Name = curTmpNames[isrc] = uniqueSourceNames[iinfo][isrc],
Source = args.Column[iinfo].Source[isrc]
});
}
tmpColNames.AddRange(curTmpNames);
extractorCols[iinfo] =
new NgramHashExtractorTransform.Column
{
Name = column.Name,
Source = curTmpNames,
HashBits = column.HashBits,
NgramLength = column.NgramLength,
Seed = column.Seed,
SkipLength = column.SkipLength,
Ordered = column.Ordered,
InvertHash = column.InvertHash,
FriendlyNames = args.Column[iinfo].Source,
AllLengths = column.AllLengths
};
}
view = args.Tokenizer.CreateComponent(h, view, tokenizeColumns.ToArray());
var featurizeArgs =
new NgramHashExtractorTransform.Arguments
{
AllLengths = args.AllLengths,
HashBits = args.HashBits,
NgramLength = args.NgramLength,
SkipLength = args.SkipLength,
Ordered = args.Ordered,
Seed = args.Seed,
Column = extractorCols.ToArray(),
InvertHash = args.InvertHash
};
view = NgramHashExtractorTransform.Create(h, featurizeArgs, view);
// Since we added columns with new names, we need to explicitly drop them before we return the IDataTransform.
var dropColsArgs =
new DropColumnsTransform.Arguments()
{
Column = tmpColNames.ToArray()
};
return(new DropColumnsTransform(h, dropColsArgs, view));
}
