public static CommonOutputs.TransformOutput GcNormalize(IHostEnvironment env, LpNormNormalizerTransform.GcnArguments input)
{
var h = EntryPointUtils.CheckArgsAndCreateHost(env, "GcNormalize", input);
var xf = new LpNormNormalizerTransform(h, input, input.Data);
return(new CommonOutputs.TransformOutput()
{
Model = new TransformModel(h, xf, input.Data),
OutputData = xf
});
}
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));
}