TablePair() 공개 메소드

Add a name-value pair to a table. This includes a row.
public TablePair ( String name, String v ) : void
name String The name.
v String The value.
리턴 void
예제 #1
0
        /// <summary>
        /// Produce the report.
        /// </summary>
        ///
        /// <returns>The report.</returns>
        public String ProduceReport()
        {
            var report = new HTMLReport();

            AnalyzeFile();
            report.BeginHTML();
            report.Title("Encog Analyst Report");
            report.BeginBody();

            report.H1("General Statistics");
            report.BeginTable();
            report.TablePair("Total row count", Format.FormatInteger(_rowCount));
            report.TablePair("Missing row count", Format.FormatInteger(_missingCount));
            report.EndTable();

            report.H1("Field Ranges");
            report.BeginTable();
            report.BeginRow();
            report.Header("Name");
            report.Header("Class?");
            report.Header("Complete?");
            report.Header("Int?");
            report.Header("Real?");
            report.Header("Max");
            report.Header("Min");
            report.Header("Mean");
            report.Header("Standard Deviation");
            report.EndRow();


            foreach (DataField df  in  _analyst.Script.Fields)
            {
                report.BeginRow();
                report.Cell(df.Name);
                report.Cell(Format.FormatYesNo(df.Class));
                report.Cell(Format.FormatYesNo(df.Complete));
                report.Cell(Format.FormatYesNo(df.Integer));
                report.Cell(Format.FormatYesNo(df.Real));
                report.Cell(Format.FormatDouble(df.Max, FiveSpan));
                report.Cell(Format.FormatDouble(df.Min, FiveSpan));
                report.Cell(Format.FormatDouble(df.Mean, FiveSpan));
                report.Cell(Format.FormatDouble(df.StandardDeviation,
                                                FiveSpan));
                report.EndRow();

                if (df.ClassMembers.Count > 0)
                {
                    report.BeginRow();
                    report.Cell("&nbsp;");
                    report.BeginTableInCell(EightSpan);
                    report.BeginRow();
                    report.Header("Code");
                    report.Header("Name");
                    report.Header("Count");
                    report.EndRow();

                    foreach (AnalystClassItem item  in  df.ClassMembers)
                    {
                        report.BeginRow();
                        report.Cell(item.Code);
                        report.Cell(item.Name);
                        report.Cell(Format.FormatInteger(item.Count));
                        report.EndRow();
                    }
                    report.EndTableInCell();
                    report.EndRow();
                }
            }

            report.EndTable();

            report.H1("Normalization");
            report.BeginTable();
            report.BeginRow();
            report.Header("Name");
            report.Header("Action");
            report.Header("High");
            report.Header("Low");
            report.EndRow();


            foreach (AnalystField item  in  _analyst.Script.Normalize.NormalizedFields)
            {
                report.BeginRow();
                report.Cell(item.Name);
                report.Cell(item.Action.ToString());
                report.Cell(Format.FormatDouble(item.NormalizedHigh, FiveSpan));
                report.Cell(Format.FormatDouble(item.NormalizedLow, FiveSpan));
                report.EndRow();
            }

            report.EndTable();

            report.H1("Machine Learning");
            report.BeginTable();
            report.BeginRow();
            report.Header("Name");
            report.Header("Value");
            report.EndRow();

            String t = _analyst.Script.Properties
                .GetPropertyString(ScriptProperties.MlConfigType);
            String a = _analyst.Script.Properties
                .GetPropertyString(ScriptProperties.MlConfigArchitecture);
            String rf = _analyst.Script.Properties
                .GetPropertyString(
                    ScriptProperties.MlConfigMachineLearningFile);

            report.TablePair("Type", t);
            report.TablePair("Architecture", a);
            report.TablePair("Machine Learning File", rf);
            report.EndTable();

            report.H1("Files");
            report.BeginTable();
            report.BeginRow();
            report.Header("Name");
            report.Header("Filename");
            report.EndRow();

            foreach (String key  in  _analyst.Script.Properties.Filenames)
            {
                String v = _analyst.Script.Properties
                    .GetFilename(key);
                report.BeginRow();
                report.Cell(key);
                report.Cell(v);
                report.EndRow();
            }
            report.EndTable();

            report.EndBody();
            report.EndHTML();

            return (report.ToString());
        }
예제 #2
0
 public string ProduceReport()
 {
     DataField field;
     string propertyString;
     string str2;
     string str3;
     DataField[] fields;
     int num;
     HTMLReport report = new HTMLReport();
     goto Label_07C1;
     Label_00B9:
     report.EndTable();
     report.EndBody();
     report.EndHTML();
     if (0 == 0)
     {
         if ((((uint) num) + ((uint) num)) >= 0)
         {
             if (-2147483648 != 0)
             {
                 if (0 == 0)
                 {
                     goto Label_07E3;
                 }
                 goto Label_07C1;
             }
             goto Label_0668;
         }
         goto Label_0468;
     }
     goto Label_01CE;
     Label_00FD:
     report.Header("Name");
     report.Header("Filename");
     report.EndRow();
     using (IEnumerator<string> enumerator3 = this._x554f16462d8d4675.Script.Properties.Filenames.GetEnumerator())
     {
         string str4;
         string filename;
         goto Label_0055;
     Label_002F:
         if ((((uint) num) + ((uint) num)) > uint.MaxValue)
         {
             goto Label_0076;
         }
         report.Cell(filename);
         report.EndRow();
     Label_0055:
         if (!enumerator3.MoveNext() && ((((uint) num) - ((uint) num)) >= 0))
         {
             goto Label_00B9;
         }
     Label_0076:
         str4 = enumerator3.Current;
         filename = this._x554f16462d8d4675.Script.Properties.GetFilename(str4);
         report.BeginRow();
         report.Cell(str4);
         goto Label_002F;
     }
     goto Label_00B9;
     Label_014A:
     report.TablePair("Type", propertyString);
     report.TablePair("Architecture", str2);
     report.TablePair("Machine Learning File", str3);
     report.EndTable();
     report.H1("Files");
     report.BeginTable();
     report.BeginRow();
     goto Label_00FD;
     Label_01CE:
     report.BeginRow();
     report.Header("Name");
     if ((((uint) num) - ((uint) num)) < 0)
     {
         goto Label_03AA;
     }
     if ((((uint) num) & 0) != 0)
     {
         goto Label_076F;
     }
     report.Header("Value");
     report.EndRow();
     propertyString = this._x554f16462d8d4675.Script.Properties.GetPropertyString("ML:CONFIG_type");
     if (0xff != 0)
     {
         str2 = this._x554f16462d8d4675.Script.Properties.GetPropertyString("ML:CONFIG_architecture");
         str3 = this._x554f16462d8d4675.Script.Properties.GetPropertyString("ML:CONFIG_machineLearningFile");
         goto Label_014A;
     }
     goto Label_01CE;
     Label_030F:
     report.EndTable();
     if (0 != 0)
     {
         goto Label_0429;
     }
     report.H1("Machine Learning");
     report.BeginTable();
     goto Label_0450;
     Label_0371:
     if (num < fields.Length)
     {
         field = fields[num];
         report.BeginRow();
         report.Cell(field.Name);
         report.Cell(Format.FormatYesNo(field.Class));
         report.Cell(Format.FormatYesNo(field.Complete));
         goto Label_051B;
     }
     if (0 != 0)
     {
         goto Label_06BB;
     }
     report.EndTable();
     report.H1("Normalization");
     report.BeginTable();
     if (3 == 0)
     {
         goto Label_04B0;
     }
     report.BeginRow();
     if ((((uint) num) & 0) == 0)
     {
         report.Header("Name");
         report.Header("Action");
         report.Header("High");
         report.Header("Low");
         report.EndRow();
         using (IEnumerator<AnalystField> enumerator2 = this._x554f16462d8d4675.Script.Normalize.NormalizedFields.GetEnumerator())
         {
             AnalystField field2;
         Label_0260:
             if (!enumerator2.MoveNext() && ((((uint) num) - ((uint) num)) >= 0))
             {
                 goto Label_030F;
             }
             goto Label_02B2;
         Label_0286:
             report.Cell(Format.FormatDouble(field2.NormalizedHigh, 5));
             report.Cell(Format.FormatDouble(field2.NormalizedLow, 5));
             report.EndRow();
             goto Label_0260;
         Label_02B2:
             field2 = enumerator2.Current;
             report.BeginRow();
             if ((((uint) num) - ((uint) num)) >= 0)
             {
                 report.Cell(field2.Name);
                 report.Cell(field2.Action.ToString());
                 goto Label_0286;
             }
         }
         goto Label_030F;
     }
     goto Label_0450;
     Label_03AA:
     using (IEnumerator<AnalystClassItem> enumerator = field.ClassMembers.GetEnumerator())
     {
         AnalystClassItem current;
         goto Label_0400;
     Label_03B9:
         if ((((uint) num) | uint.MaxValue) != 0)
         {
             report.Cell(current.Code);
             report.Cell(current.Name);
             report.Cell(Format.FormatInteger(current.Count));
         }
         report.EndRow();
     Label_0400:
         if (enumerator.MoveNext())
         {
             current = enumerator.Current;
             report.BeginRow();
             goto Label_03B9;
         }
     }
     Label_0429:
     report.EndTableInCell();
     report.EndRow();
     goto Label_0445;
     Label_0437:
     if (field.ClassMembers.Count > 0)
     {
         goto Label_04BA;
     }
     Label_0445:
     num++;
     goto Label_0371;
     Label_0450:
     if ((((uint) num) + ((uint) num)) <= uint.MaxValue)
     {
         goto Label_01CE;
     }
     Label_0468:
     report.EndRow();
     goto Label_03AA;
     Label_04B0:
     if (8 != 0)
     {
         goto Label_0437;
     }
     Label_04BA:
     report.BeginRow();
     Label_04C0:
     report.Cell("&nbsp;");
     if (0 == 0)
     {
         report.BeginTableInCell(5);
         report.BeginRow();
         report.Header("Code");
         report.Header("Name");
         report.Header("Count");
     }
     goto Label_0468;
     Label_051B:
     report.Cell(Format.FormatYesNo(field.Integer));
     report.Cell(Format.FormatYesNo(field.Real));
     Label_053D:
     report.Cell(Format.FormatDouble(field.Max, 5));
     report.Cell(Format.FormatDouble(field.Min, 5));
     Label_0561:
     report.Cell(Format.FormatDouble(field.Mean, 5));
     if ((((uint) num) - ((uint) num)) <= uint.MaxValue)
     {
         report.Cell(Format.FormatDouble(field.StandardDeviation, 5));
         if ((((uint) num) | 15) == 0)
         {
             goto Label_0437;
         }
         report.EndRow();
         if ((((uint) num) | 1) == 0)
         {
             goto Label_051B;
         }
     }
     goto Label_04B0;
     Label_0636:
     if ((((uint) num) - ((uint) num)) > uint.MaxValue)
     {
         goto Label_00FD;
     }
     report.EndRow();
     fields = this._x554f16462d8d4675.Script.Fields;
     num = 0;
     goto Label_0371;
     Label_0668:
     report.Header("Complete?");
     report.Header("Int?");
     report.Header("Real?");
     report.Header("Max");
     report.Header("Min");
     report.Header("Mean");
     report.Header("Standard Deviation");
     if ((((uint) num) + ((uint) num)) > uint.MaxValue)
     {
         goto Label_0561;
     }
     goto Label_0636;
     Label_06BB:
     report.Header("Class?");
     if (((uint) num) > uint.MaxValue)
     {
         goto Label_014A;
     }
     if (8 != 0)
     {
         goto Label_07D9;
     }
     Label_06E4:
     report.TablePair("Missing row count", Format.FormatInteger(this._xed3494f8db69efb7));
     report.EndTable();
     report.H1("Field Ranges");
     report.BeginTable();
     if ((((uint) num) - ((uint) num)) >= 0)
     {
         report.BeginRow();
         report.Header("Name");
         if (0 != 0)
         {
             goto Label_0636;
         }
         goto Label_06BB;
     }
     goto Label_07D9;
     Label_076F:
     report.BeginHTML();
     report.Title("Encog Analyst Report");
     report.BeginBody();
     if (-2147483648 == 0)
     {
         goto Label_053D;
     }
     if (((uint) num) >= 0)
     {
     }
     report.H1("General Statistics");
     if ((((uint) num) & 0) == 0)
     {
         report.BeginTable();
         if ((((uint) num) + ((uint) num)) < 0)
         {
             goto Label_04C0;
         }
         report.TablePair("Total row count", Format.FormatInteger(this._x0fe0496cde3d05e3));
         if (0 == 0)
         {
             goto Label_06E4;
         }
         goto Label_07D9;
     }
     Label_07C1:
     this.x076efb43809972d8();
     goto Label_076F;
     Label_07D9:
     if (15 != 0)
     {
         goto Label_0668;
     }
     Label_07E3:
     return report.ToString();
 }