Exemple #1
0
 /// <summary>
 /// Convert a dependency graph to a format expected as input to
 /// <see cref="IWriter.Set(string, object)"/>
 /// .
 /// </summary>
 private static object BuildDependencyTree(SemanticGraph graph)
 {
     // It's lying; we need the "redundant" casts (as of 2014-09-08)
     if (graph != null)
     {
         return(IStream.Concat(graph.GetRoots().Stream().Map(null), graph.EdgeListSorted().Stream().Map(null)));
     }
     else
     {
         // Roots
         // Regular edges
         return(null);
     }
 }
Exemple #2
0
        /// <exception cref="System.IO.IOException"/>
        public static void Main(string[] args)
        {
            RedwoodConfiguration.Standard().Apply();
            Redwood.Util.StartTrack("main");
            // Read the data
            IStream <SimpleSentiment.SentimentDatum> data = IStream.Concat(IStream.Concat(IStream.Concat(Imdb("/users/gabor/tmp/aclImdb/train/pos", SentimentClass.Positive), Imdb("/users/gabor/tmp/aclImdb/train/neg", SentimentClass.Negative)), IStream.Concat
                                                                                              (Imdb("/users/gabor/tmp/aclImdb/test/pos", SentimentClass.Positive), Imdb("/users/gabor/tmp/aclImdb/test/neg", SentimentClass.Negative))), IStream.Concat(IStream.Concat(Stanford("/users/gabor/tmp/train.tsv"), Stanford("/users/gabor/tmp/test.tsv"
                                                                                                                                                                                                                                                                                                                        )), IStream.Concat(Twitter("/users/gabor/tmp/twitter.csv"), Unlabelled("/users/gabor/tmp/wikipedia"))));
            // Train the model
            OutputStream    stream     = IOUtils.GetFileOutputStream("/users/gabor/tmp/model.ser.gz");
            SimpleSentiment classifier = SimpleSentiment.Train(data, Optional.Of(stream));

            stream.Close();
            log.Info(classifier.Classify("I think life is great"));
            Redwood.Util.EndTrack("main");
        }