public ViterbiForGlobalLinearModel(WeightVector weightVector, Tags tags)
 {
     WeightVector = weightVector;
     Tags = tags;
     Pi = new List<Dictionary<string, float>>();
     Bp = new List<Dictionary<string, string>>();
 }
Ejemplo n.º 2
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        public void Setup(bool debug)
        {
            var readModel = new ReadModel(InputModelFile);
            _weightVector = new WeightVector();

            foreach (var pair in readModel.ModelIterator())
            {
                _weightVector.Add(pair);
            }

            _tags = new Tags(_tagList);

            _viterbiForGlobalLinearModel = new ViterbiForGlobalLinearModel(_weightVector, _tags);

            // read input file in a class and per line iterator.
            var inputData = new ReadInputData(InputTestFile);
            var writeModel = new WriteModel(_outputTestFile);
            foreach (var line in inputData.GetSentence())
            {
                List<string> debugList;
                var outputTags = _viterbiForGlobalLinearModel.Decode(line, debug, out debugList);
                if (debug)
                {
                    writeModel.WriteDataWithTagDebug(line, outputTags, debugList);
                }
                else
                {
                    writeModel.WriteDataWithTag(line, outputTags);
                }

            }
            writeModel.Flush();
        }
Ejemplo n.º 3
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        public MapFeaturesToK(string inputFile, string outputFile, List<string> tagList)
        {
            writeModel = new WriteModel(outputFile);

            _inputFile = inputFile;
            _tagList = tagList;
            DictFeaturesToK = new Dictionary<string, int>();
            _featureCount = 0;
            _tags = new Tags(tagList);
        }
Ejemplo n.º 4
0
        /*
        static void Test()
        {
            const string inputFile = "../../data/tag.model";
            //const string outputFile = "../../test.output1";
            var readModel = new ReadModel(inputFile);
            //var writeModel = new WriteModel(outputFile);
            var weightVector = new WeightVector();
            var tags = new List<string> {"I-GENE", "O"};

            PrintFeatureList(tags);

            foreach (var pair in readModel.ModelIterator())
            {
                weightVector.Add(pair);

            }
            //writeModel.WriteLine(line);
            //writeModel.Flush();
        }
        */
        static void PrintFeatureList(List<string> tags)
        {
            var featureTags = new Tags(tags);
            featureTags.Dump(3);
        }