Analyze() публичный Метод

Analyze the input file.
public Analyze ( FileInfo inputFile, bool headers, CSVFormat format ) : void
inputFile System.IO.FileInfo The input file.
headers bool The headers.
format Encog.Util.CSV.CSVFormat The format of the input file.
Результат void
Пример #1
0
        public void TestFilterCSVHeaders()
        {
            GenerateTestFileHeadings(true);
            var norm = new SegregateCSV();
            norm.Targets.Add(new SegregateTargetPercent(OutputName1, 75));
            norm.Targets.Add(new SegregateTargetPercent(OutputName2, 25));
            norm.Analyze(InputName, true, CSVFormat.English);
            norm.Process();

            var tr = new StreamReader(OutputName1.ToString());
            Assert.AreEqual("\"a\",\"b\"", tr.ReadLine());
            Assert.AreEqual("one,1", tr.ReadLine());
            Assert.AreEqual("two,2", tr.ReadLine());
            Assert.AreEqual("three,3", tr.ReadLine());
            Assert.IsNull(tr.ReadLine());
            tr.Close();

            tr = new StreamReader(OutputName2.ToString());
            Assert.AreEqual("\"a\",\"b\"", tr.ReadLine());
            Assert.AreEqual("four,4", tr.ReadLine());
            Assert.IsNull(tr.ReadLine());
            tr.Close();

            InputName.Delete();
            OutputName1.Delete();
            OutputName1.Delete();
        }
Пример #2
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        private static void Segregate()
        {
            var seg = new SegregateCSV();
            seg.Targets.Add(new SegregateTargetPercent(trainingFile, 50));
            seg.Targets.Add(new SegregateTargetPercent(crossValidationFile, 30));
            seg.Targets.Add(new SegregateTargetPercent(evaluationFile, 20));

            seg.ProduceOutputHeaders = true;
            seg.Analyze(shuffledFile, true, CSVFormat.English);
            seg.Process();
        }
Пример #3
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        /// <inheritdoc/>
        public override sealed bool ExecuteCommand(String args)
        {
            // get filenames
            String sourceID = Prop.GetPropertyString(
                ScriptProperties.SegregateConfigSourceFile);

            FileInfo sourceFile = Script.ResolveFilename(sourceID);

            EncogLogging.Log(EncogLogging.LevelDebug, "Beginning segregate");
            EncogLogging.Log(EncogLogging.LevelDebug, "source file:" + sourceID);

            // get formats
            CSVFormat format = Script.DetermineFormat();

            // prepare to segregate
            bool headers = Script.ExpectInputHeaders(sourceID);
            var seg = new SegregateCSV {Script = Script};
            Analyst.CurrentQuantTask = seg;

            foreach (AnalystSegregateTarget target  in  Script.Segregate.SegregateTargets)
            {
                FileInfo filename = Script.ResolveFilename(target.File);
                seg.Targets.Add(new SegregateTargetPercent(filename, target.Percent));
                // mark generated
                Script.MarkGenerated(target.File);
                EncogLogging.Log(
                    EncogLogging.LevelDebug,
                    "target file:" + target.File + ", Percent: "
                    + Format.FormatPercent(target.Percent));
            }

            seg.Report = new AnalystReportBridge(Analyst);
            seg.Analyze(sourceFile, headers, format);

            seg.Process();
            Analyst.CurrentQuantTask = null;
            return seg.ShouldStop();
        }
 /// <summary>
 /// Metodo responsavel por segregar as informacoes do dataset em infos para Treinamento do Modelo e para Teste do Modelo 
 /// </summary>
 /// <param name="source">FileInfo com o caminho do Dataset misturado</param>
 private static void Segregate(FileInfo source)
 {
     var seg = new SegregateCSV();
     seg.Targets.Add(new SegregateTargetPercent(Config.TrainingClassificationFile, 75));
     seg.Targets.Add(new SegregateTargetPercent(Config.EvaluateClassificationFile, 25));
     seg.ProduceOutputHeaders = true;
     seg.Analyze(source, true, CSVFormat.English);
     seg.Process();
 }
 public static void Segregate(FileOps fileOps)
 {
     var segregator = new SegregateCSV{ProduceOutputHeaders = true};
     segregator.Targets.Add(new SegregateTargetPercent(fileOps.TrainingFile,75));
     segregator.Targets.Add(new SegregateTargetPercent(fileOps.EvaluationFile, 25));
     segregator.Analyze(fileOps.ShuffledFile,true,CSVFormat.English);
     segregator.Process();
 }