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 ITransformer Fit(IDataView input)
{
var h = _host;
h.CheckValue(input, nameof(input));
var tparams = new TransformApplierParams(this);
string[] textCols = _inputColumns;
string[] wordTokCols = null;
string[] charTokCols = null;
string wordFeatureCol = null;
string charFeatureCol = null;
List <string> tempCols = new List <string>();
IDataView view = input;
if (tparams.NeedInitialSourceColumnConcatTransform && textCols.Length > 1)
{
var srcCols = textCols;
textCols = new[] { GenerateColumnName(input.Schema, OutputColumn, "InitialConcat") };
tempCols.Add(textCols[0]);
view = new ConcatTransform(h, textCols[0], srcCols).Transform(view);
}
if (tparams.NeedsNormalizeTransform)
{
var xfCols = new TextNormalizerCol[textCols.Length];
string[] dstCols = new string[textCols.Length];
for (int i = 0; i < textCols.Length; i++)
{
dstCols[i] = GenerateColumnName(view.Schema, textCols[i], "TextNormalizer");
tempCols.Add(dstCols[i]);
xfCols[i] = new TextNormalizerCol()
{
Source = textCols[i], Name = dstCols[i]
};
}
view = new TextNormalizerTransform(h,
new TextNormalizerArgs()
{
Column = xfCols,
KeepDiacritics = tparams.KeepDiacritics,
KeepNumbers = tparams.KeepNumbers,
KeepPunctuations = tparams.KeepPunctuations,
TextCase = tparams.TextCase
}, view);
textCols = dstCols;
}
if (tparams.NeedsWordTokenizationTransform)
{
var xfCols = new DelimitedTokenizeTransform.Column[textCols.Length];
wordTokCols = new string[textCols.Length];
for (int i = 0; i < textCols.Length; i++)
{
var col = new DelimitedTokenizeTransform.Column();
col.Source = textCols[i];
col.Name = GenerateColumnName(view.Schema, textCols[i], "WordTokenizer");
xfCols[i] = col;
wordTokCols[i] = col.Name;
tempCols.Add(col.Name);
}
view = new DelimitedTokenizeTransform(h, new DelimitedTokenizeTransform.Arguments()
{
Column = xfCols
}, view);
}
if (tparams.NeedsRemoveStopwordsTransform)
{
Contracts.Assert(wordTokCols != null, "StopWords transform requires that word tokenization has been applied to the input text.");
var xfCols = new StopWordsCol[wordTokCols.Length];
var dstCols = new string[wordTokCols.Length];
for (int i = 0; i < wordTokCols.Length; i++)
{
var col = new StopWordsCol();
col.Source = wordTokCols[i];
col.Name = GenerateColumnName(view.Schema, wordTokCols[i], "StopWordsRemoverTransform");
dstCols[i] = col.Name;
tempCols.Add(col.Name);
col.Language = tparams.StopwordsLanguage;
xfCols[i] = col;
}
view = tparams.StopWordsRemover.CreateComponent(h, view, xfCols);
wordTokCols = dstCols;
}
if (tparams.WordExtractorFactory != null)
{
var dstCol = GenerateColumnName(view.Schema, OutputColumn, "WordExtractor");
tempCols.Add(dstCol);
view = tparams.WordExtractorFactory.Create(h, view, new[] {
new ExtractorColumn()
{
Name = dstCol,
Source = wordTokCols,
FriendlyNames = _inputColumns
}
});
wordFeatureCol = dstCol;
}
if (tparams.OutputTextTokens)
{
string[] srcCols = wordTokCols ?? textCols;
view = new ConcatTransform(h, string.Format(TransformedTextColFormat, OutputColumn), srcCols).Transform(view);
}
if (tparams.CharExtractorFactory != null)
{
{
var srcCols = tparams.NeedsRemoveStopwordsTransform ? wordTokCols : textCols;
charTokCols = new string[srcCols.Length];
var xfCols = new CharTokenizeTransform.Column[srcCols.Length];
for (int i = 0; i < srcCols.Length; i++)
{
var col = new CharTokenizeTransform.Column();
col.Source = srcCols[i];
col.Name = GenerateColumnName(view.Schema, srcCols[i], "CharTokenizer");
tempCols.Add(col.Name);
charTokCols[i] = col.Name;
xfCols[i] = col;
}
view = new CharTokenizeTransform(h, new CharTokenizeTransform.Arguments()
{
Column = xfCols
}, view);
}
{
charFeatureCol = GenerateColumnName(view.Schema, OutputColumn, "CharExtractor");
tempCols.Add(charFeatureCol);
view = tparams.CharExtractorFactory.Create(h, view, new[] {
new ExtractorColumn()
{
Source = charTokCols,
FriendlyNames = _inputColumns,
Name = charFeatureCol
}
});
}
}
if (tparams.VectorNormalizer != TextNormKind.None)
{
var xfCols = new List <LpNormNormalizerTransform.Column>(2);
if (charFeatureCol != null)
{
var dstCol = GenerateColumnName(view.Schema, charFeatureCol, "LpCharNorm");
tempCols.Add(dstCol);
xfCols.Add(new LpNormNormalizerTransform.Column()
{
Source = charFeatureCol,
Name = dstCol
});
charFeatureCol = dstCol;
}
if (wordFeatureCol != null)
{
var dstCol = GenerateColumnName(view.Schema, wordFeatureCol, "LpWordNorm");
tempCols.Add(dstCol);
xfCols.Add(new LpNormNormalizerTransform.Column()
{
Source = wordFeatureCol,
Name = dstCol
});
wordFeatureCol = dstCol;
}
if (xfCols.Count > 0)
{
view = new LpNormNormalizerTransform(h, new LpNormNormalizerTransform.Arguments()
{
NormKind = tparams.LpNormalizerKind,
Column = xfCols.ToArray()
}, view);
}
}
{
var srcTaggedCols = new List <KeyValuePair <string, string> >(2);
if (charFeatureCol != null && wordFeatureCol != null)
{
// If we're producing both char and word grams, then we need to disambiguate
// between them (e.g. the word 'a' vs. the char gram 'a').
srcTaggedCols.Add(new KeyValuePair <string, string>("Char", charFeatureCol));
srcTaggedCols.Add(new KeyValuePair <string, string>("Word", wordFeatureCol));
}
else
{
// Otherwise, simply use the slot names, omitting the original source column names
// entirely. For the Concat transform setting the Key == Value of the TaggedColumn
// KVP signals this intent.
Contracts.Assert(charFeatureCol != null || wordFeatureCol != null || tparams.OutputTextTokens);
if (charFeatureCol != null)
{
srcTaggedCols.Add(new KeyValuePair <string, string>(charFeatureCol, charFeatureCol));
}
else if (wordFeatureCol != null)
{
srcTaggedCols.Add(new KeyValuePair <string, string>(wordFeatureCol, wordFeatureCol));
}
}
if (srcTaggedCols.Count > 0)
{
view = new ConcatTransform(h, new ConcatTransform.ColumnInfo(OutputColumn,
srcTaggedCols.Select(kvp => (kvp.Value, kvp.Key))))
.Transform(view);
}
}
view = new DropColumnsTransform(h,
new DropColumnsTransform.Arguments()
{
Column = tempCols.ToArray()
}, view);
return(new Transformer(_host, input, view));
}
private IDataView AppendPerInstanceDataViews(IEnumerable <IDataView> foldDataViews, IChannel ch)
{
// Make sure there are no variable size vector columns.
// This is a dictionary from the column name to its vector size.
var vectorSizes = new Dictionary <string, int>();
var firstDvSlotNames = new Dictionary <string, VBuffer <DvText> >();
var firstDvKeyColumns = new List <string>();
var firstDvVectorKeyColumns = new List <string>();
var variableSizeVectorColumnNames = new List <string>();
var list = new List <IDataView>();
int dvNumber = 0;
foreach (var dv in foldDataViews)
{
var hidden = new List <int>();
for (int i = 0; i < dv.Schema.ColumnCount; i++)
{
if (dv.Schema.IsHidden(i))
{
hidden.Add(i);
continue;
}
var type = dv.Schema.GetColumnType(i);
var name = dv.Schema.GetColumnName(i);
if (type.IsVector)
{
if (dvNumber == 0)
{
if (dv.Schema.HasKeyNames(i, type.ItemType.KeyCount))
{
firstDvVectorKeyColumns.Add(name);
}
// Store the slot names of the 1st idv and use them as baseline.
if (dv.Schema.HasSlotNames(i, type.VectorSize))
{
VBuffer <DvText> slotNames = default(VBuffer <DvText>);
dv.Schema.GetMetadata(MetadataUtils.Kinds.SlotNames, i, ref slotNames);
firstDvSlotNames.Add(name, slotNames);
}
}
int cachedSize;
if (vectorSizes.TryGetValue(name, out cachedSize))
{
VBuffer <DvText> slotNames;
// In the event that no slot names were recorded here, then slotNames will be
// the default, length 0 vector.
firstDvSlotNames.TryGetValue(name, out slotNames);
if (!VerifyVectorColumnsMatch(cachedSize, i, dv, type, ref slotNames))
{
variableSizeVectorColumnNames.Add(name);
}
}
else
{
vectorSizes.Add(name, type.VectorSize);
}
}
else if (dvNumber == 0 && dv.Schema.HasKeyNames(i, type.KeyCount))
{
// The label column can be a key. Reconcile the key values, and wrap with a KeyToValue transform.
firstDvKeyColumns.Add(name);
}
}
var idv = dv;
if (hidden.Count > 0)
{
var args = new ChooseColumnsByIndexTransform.Arguments();
args.Drop = true;
args.Index = hidden.ToArray();
idv = new ChooseColumnsByIndexTransform(Host, args, idv);
}
list.Add(idv);
dvNumber++;
}
if (variableSizeVectorColumnNames.Count == 0 && firstDvKeyColumns.Count == 0)
{
return(AppendRowsDataView.Create(Host, null, list.ToArray()));
}
var views = list.ToArray();
foreach (var keyCol in firstDvKeyColumns)
{
EvaluateUtils.ReconcileKeyValues(Host, views, keyCol);
}
foreach (var vectorKeyCol in firstDvVectorKeyColumns)
{
EvaluateUtils.ReconcileVectorKeyValues(Host, views, vectorKeyCol);
}
Func <IDataView, int, IDataView> keyToValue =
(idv, i) =>
{
foreach (var keyCol in firstDvKeyColumns.Concat(firstDvVectorKeyColumns))
{
idv = new KeyToValueTransform(Host, new KeyToValueTransform.Arguments()
{
Column = new[] { new KeyToValueTransform.Column()
{
Name = keyCol
}, }
}, idv);
var hidden = FindHiddenColumns(idv.Schema, keyCol);
idv = new ChooseColumnsByIndexTransform(Host, new ChooseColumnsByIndexTransform.Arguments()
{
Drop = true, Index = hidden.ToArray()
}, idv);
}
return(idv);
};
Func <IDataView, IDataView> selectDropNonVarLenthCol =
(idv) =>
{
foreach (var variableSizeVectorColumnName in variableSizeVectorColumnNames)
{
int index;
idv.Schema.TryGetColumnIndex(variableSizeVectorColumnName, out index);
var type = idv.Schema.GetColumnType(index);
idv = Utils.MarshalInvoke(AddVarLengthColumn <int>, type.ItemType.RawType, Host, idv,
variableSizeVectorColumnName, type);
// Drop the old column that does not have variable length.
idv = new DropColumnsTransform(Host, new DropColumnsTransform.Arguments()
{
Column = new[] { variableSizeVectorColumnName }
}, idv);
}
return(idv);
};
if (variableSizeVectorColumnNames.Count > 0)
{
ch.Warning("Detected columns of variable length: {0}. Consider setting collateMetrics- for meaningful per-Folds results.", string.Join(", ", variableSizeVectorColumnNames));
}
return(AppendRowsDataView.Create(Host, null, views.Select(keyToValue).Select(selectDropNonVarLenthCol).ToArray()));
}
public static IDataTransform Create(IHostEnvironment env, Arguments args, IDataView input)
{
Contracts.CheckValue(env, nameof(env));
var h = env.Register("Categorical");
h.CheckValue(args, nameof(args));
h.CheckValue(input, nameof(input));
h.CheckUserArg(Utils.Size(args.Column) > 0, nameof(args.Column));
var replaceCols = new List <NAReplaceTransform.ColumnInfo>();
var naIndicatorCols = new List <NAIndicatorTransform.Column>();
var naConvCols = new List <ConvertTransform.Column>();
var concatCols = new List <ConcatTransform.TaggedColumn>();
var dropCols = new List <string>();
var tmpIsMissingColNames = input.Schema.GetTempColumnNames(args.Column.Length, "IsMissing");
var tmpReplaceColNames = input.Schema.GetTempColumnNames(args.Column.Length, "Replace");
for (int i = 0; i < args.Column.Length; i++)
{
var column = args.Column[i];
var addInd = column.ConcatIndicator ?? args.Concat;
if (!addInd)
{
replaceCols.Add(new NAReplaceTransform.ColumnInfo(column.Source, column.Name, (NAReplaceTransform.ColumnInfo.ReplacementMode)(column.Kind ?? args.ReplaceWith), column.ImputeBySlot ?? args.ImputeBySlot));
continue;
}
// Check that the indicator column has a type that can be converted to the NAReplaceTransform output type,
// so that they can be concatenated.
if (!input.Schema.TryGetColumnIndex(column.Source, out int inputCol))
{
throw h.Except("Column '{0}' does not exist", column.Source);
}
var replaceType = input.Schema.GetColumnType(inputCol);
if (!Conversions.Instance.TryGetStandardConversion(BoolType.Instance, replaceType.ItemType, out Delegate conv, out bool identity))
{
throw h.Except("Cannot concatenate indicator column of type '{0}' to input column of type '{1}'",
BoolType.Instance, replaceType.ItemType);
}
// Find a temporary name for the NAReplaceTransform and NAIndicatorTransform output columns.
var tmpIsMissingColName = tmpIsMissingColNames[i];
var tmpReplacementColName = tmpReplaceColNames[i];
// Add an NAHandleTransform column.
naIndicatorCols.Add(new NAIndicatorTransform.Column()
{
Name = tmpIsMissingColName, Source = column.Source
});
// Add a ConvertTransform column if necessary.
if (!identity)
{
naConvCols.Add(new ConvertTransform.Column()
{
Name = tmpIsMissingColName, Source = tmpIsMissingColName, ResultType = replaceType.ItemType.RawKind
});
}
// Add the NAReplaceTransform column.
replaceCols.Add(new NAReplaceTransform.ColumnInfo(column.Source, tmpReplacementColName, (NAReplaceTransform.ColumnInfo.ReplacementMode)(column.Kind ?? args.ReplaceWith), column.ImputeBySlot ?? args.ImputeBySlot));
// Add the ConcatTransform column.
if (replaceType.IsVector)
{
concatCols.Add(new ConcatTransform.TaggedColumn()
{
Name = column.Name,
Source = new[] {
new KeyValuePair <string, string>(tmpReplacementColName, tmpReplacementColName),
new KeyValuePair <string, string>("IsMissing", tmpIsMissingColName)
}
});
}
else
{
concatCols.Add(new ConcatTransform.TaggedColumn()
{
Name = column.Name,
Source = new[]
{
new KeyValuePair <string, string>(column.Source, tmpReplacementColName),
new KeyValuePair <string, string>(string.Format("IsMissing.{0}", column.Source), tmpIsMissingColName),
}
});
}
// Add the temp column to the list of columns to drop at the end.
dropCols.Add(tmpIsMissingColName);
dropCols.Add(tmpReplacementColName);
}
IDataTransform output = null;
// Create the indicator columns.
if (naIndicatorCols.Count > 0)
{
output = NAIndicatorTransform.Create(h, new NAIndicatorTransform.Arguments()
{
Column = naIndicatorCols.ToArray()
}, input);
}
// Convert the indicator columns to the correct type so that they can be concatenated to the NAReplace outputs.
if (naConvCols.Count > 0)
{
h.AssertValue(output);
output = new ConvertTransform(h, new ConvertTransform.Arguments()
{
Column = naConvCols.ToArray()
}, output);
}
// Create the NAReplace transform.
output = NAReplaceTransform.Create(env, output ?? input, replaceCols.ToArray());
// Concat the NAReplaceTransform output and the NAIndicatorTransform output.
if (naIndicatorCols.Count > 0)
{
output = ConcatTransform.Create(h, new ConcatTransform.TaggedArguments()
{
Column = concatCols.ToArray()
}, output);
}
// Finally, drop the temporary indicator columns.
if (dropCols.Count > 0)
{
output = new DropColumnsTransform(h, new DropColumnsTransform.Arguments()
{
Column = dropCols.ToArray()
}, output);
}
return(output);
}
