Remove empty statement (#5827)

* Remove empty statement

* Remove empty statement

Author: feiyun0112

src/Microsoft.ML.Data/Scorers/SchemaBindablePredictorWrapper.cs

@@ -222,7 +222,7 @@ public SingleValueRowMapper(RoleMappedSchema schema, SchemaBindablePredictorWrap
                 if (!InputRoleMappedSchema.Feature.HasValue || dependingColumns.Count() == 0)
                     return Enumerable.Empty<DataViewSchema.Column>();
 
-                return Enumerable.Repeat(InputRoleMappedSchema.Feature.Value, 1); ;
+                return Enumerable.Repeat(InputRoleMappedSchema.Feature.Value, 1);
             }
 
             public IEnumerable<KeyValuePair<RoleMappedSchema.ColumnRole, string>> GetInputColumnRoles()

src/Microsoft.ML.Data/Transforms/ColumnSelecting.cs

@@ -320,7 +320,7 @@ private static bool GetHiddenOption(IHostEnvironment env, HiddenColumnOption opt
                     return false;
                 default:
                     throw env.Except("Unsupported hide option specified");
-            };
+            }
         }
 
         /// <summary>

src/Microsoft.ML.Data/Transforms/Hashing.cs

@@ -342,7 +342,7 @@ private static IDataTransform Create(IHostEnvironment env, Options options, IDat
                     item.Seed ?? options.Seed,
                     item.Ordered ?? options.Ordered,
                     item.MaximumNumberOfInverts ?? options.MaximumNumberOfInverts);
-            };
+            }
             return new HashingTransformer(env, input, cols).MakeDataTransform(input);
         }
 

src/Microsoft.ML.Data/Transforms/KeyToVector.cs

@@ -206,7 +206,7 @@ private static IDataTransform Create(IHostEnvironment env, Options options, IDat
                     item.Name,
                     item.Source ?? item.Name,
                     item.Bag ?? options.Bag);
-            };
+            }
             return new KeyToVectorMappingTransformer(env, cols).MakeDataTransform(input);
         }
 

src/Microsoft.ML.Data/Transforms/TypeConverting.cs

@@ -336,7 +336,7 @@ internal static IDataTransform Create(IHostEnvironment env, Options options, IDa
                     kind = tempResultType.Value;
                 }
                 cols[i] = new TypeConvertingEstimator.ColumnOptions(item.Name, kind.ToDataKind(), item.Source ?? item.Name, keyCount);
-            };
+            }
             return new TypeConvertingTransformer(env, cols).MakeDataTransform(input);
         }
 

src/Microsoft.ML.Data/Transforms/ValueToKeyMappingTransformer.cs

@@ -298,7 +298,7 @@ internal static IDataTransform Create(IHostEnvironment env, Options options, IDa
                         item.TextKeyValues ?? options.TextKeyValues);
                     cols[i].Keys = item.Terms;
                     cols[i].Key = item.Term ?? options.Term;
-                };
+                }
                 var keyData = GetKeyDataViewOrNull(env, ch, options.DataFile, options.TermsColumn, options.Loader, out bool autoLoaded);
                 return new ValueToKeyMappingTransformer(env, input, cols, keyData, autoLoaded).MakeDataTransform(input);
             }

src/Microsoft.ML.EntryPoints/PermutationFeatureImportance.cs

@@ -183,7 +183,7 @@ private static IDataView GetMulticlassMetrics(
                     TopKAccuracyStdErr = pMetric.TopKAccuracy.StandardError,
                     PerClassLogLoss = pMetric.PerClassLogLoss.Select(x => x.Mean).ToArray(),
                     PerClassLogLossStdErr = pMetric.PerClassLogLoss.Select(x => x.StandardError).ToArray()
-                }); ;
+                });
             }
 
             // Convert unknown size vectors to known size.
@@ -314,7 +314,7 @@ private static string[] GetSlotNames(RoleMappedSchema schema)
             foreach (var value in slotValues)
             {
                 slotNames.Add(value.ToString());
-            };
+            }
 
             return slotNames.ToArray();
         }

src/Microsoft.ML.FastTree/Utils/LinqExtensions.cs

@@ -206,7 +206,7 @@ public static T[] ToArray<T>(this IEnumerable<T> me, int length)
         public static IEnumerable<int> CumulativeSum<T>(this IEnumerable<int> s)
         {
             int sum = 0;
-            ;
+
             foreach (var x in s)
             {
                 sum = sum + x;

src/Microsoft.ML.Featurizers/TimeSeriesImputerDataView.cs

@@ -749,7 +749,7 @@ public Cursor(IChannelProvider provider, DataViewRowCursor input, TransformerEst
 
                 var sharedState = new SharedColumnState();
 
-                _allColumns = _schema.Select(x => TypedColumn.CreateTypedColumn(x, dataColumns, allImputedColumnNames, sharedState)).ToDictionary(x => x.Column.Name); ;
+                _allColumns = _schema.Select(x => TypedColumn.CreateTypedColumn(x, dataColumns, allImputedColumnNames, sharedState)).ToDictionary(x => x.Column.Name);
                 _allColumns[IsRowImputedColumnName] = new BoolTypedColumn(_schema[IsRowImputedColumnName], false, true, sharedState);
 
                 foreach (var column in _allColumns.Values)

src/Microsoft.ML.LightGbm/LightGbmTrainerBase.cs

@@ -851,7 +851,7 @@ private void CreateDatasetFromSamplingData(IChannel ch, FloatLabelCursor.Factory
                 nonZeroCntPerColumn[i] = 0;
                 sampleValuePerColumn[i] = new double[estimateNonZeroCnt];
                 sampleIndicesPerColumn[i] = new int[estimateNonZeroCnt];
-            };
+            }
             using (var cursor = factory.Create())
             {
                 int step = 1;