Contributing: Fix typos (#4633)

* Contributing: Fix typos

Author: MaherJendoubi

src/Microsoft.ML.AutoML/API/Pipeline.cs

@@ -96,15 +96,15 @@ internal class PipelineScore
         /// This setting is true if the pipeline run succeeded and ran to completion.
         /// Else, it is false if some exception was thrown before the run could complete.
         /// </summary>
-        public readonly bool RunSucceded;
+        public readonly bool RunSucceeded;
 
         internal readonly Pipeline Pipeline;
 
         internal PipelineScore(Pipeline pipeline, double score, bool runSucceeded)
         {
             Pipeline = pipeline;
             Score = score;
-            RunSucceded = runSucceeded;
+            RunSucceeded = runSucceeded;
         }
     }
 }

src/Microsoft.ML.AutoML/Experiment/Experiment.cs

@@ -61,11 +61,11 @@ public IList<TRunDetail> Execute()
                 var iterationStopwatch = Stopwatch.StartNew();
 
                 // get next pipeline
-                var getPiplelineStopwatch = Stopwatch.StartNew();
+                var getPipelineStopwatch = Stopwatch.StartNew();
                 var pipeline = PipelineSuggester.GetNextInferredPipeline(_context, _history, _datasetColumnInfo, _task,
                     _optimizingMetricInfo.IsMaximizing, _experimentSettings.CacheBeforeTrainer, _trainerWhitelist);
 
-                var pipelineInferenceTimeInSeconds = getPiplelineStopwatch.Elapsed.TotalSeconds;
+                var pipelineInferenceTimeInSeconds = getPipelineStopwatch.Elapsed.TotalSeconds;
 
                 // break if no candidates returned, means no valid pipeline available
                 if (pipeline == null)
@@ -82,7 +82,7 @@ public IList<TRunDetail> Execute()
                 WriteIterationLog(pipeline, suggestedPipelineRunDetail, iterationStopwatch);
 
                 runDetail.RuntimeInSeconds = iterationStopwatch.Elapsed.TotalSeconds;
-                runDetail.PipelineInferenceTimeInSeconds = getPiplelineStopwatch.Elapsed.TotalSeconds;
+                runDetail.PipelineInferenceTimeInSeconds = getPipelineStopwatch.Elapsed.TotalSeconds;
 
                 ReportProgress(runDetail);
                 iterationResults.Add(runDetail);
@@ -94,7 +94,7 @@ public IList<TRunDetail> Execute()
                 }
 
                 // If after third run, all runs have failed so far, throw exception
-                if (_history.Count() == 3 && _history.All(r => !r.RunSucceded))
+                if (_history.Count() == 3 && _history.All(r => !r.RunSucceeded))
                 {
                     throw new InvalidOperationException($"Training failed with the exception: {_history.Last().Exception}");
                 }

src/Microsoft.ML.AutoML/Experiment/SuggestedPipelineRunDetails/SuggestedPipelineRunDetail.cs

@@ -9,7 +9,7 @@ namespace Microsoft.ML.AutoML
     internal class SuggestedPipelineRunDetail
     {
         public readonly SuggestedPipeline Pipeline;
-        public readonly bool RunSucceded;
+        public readonly bool RunSucceeded;
         public readonly double Score;
 
         public Exception Exception { get; set; }
@@ -18,12 +18,12 @@ public SuggestedPipelineRunDetail(SuggestedPipeline pipeline, double score, bool
         {
             Pipeline = pipeline;
             Score = score;
-            RunSucceded = runSucceeded;
+            RunSucceeded = runSucceeded;
         }
 
         public static SuggestedPipelineRunDetail FromPipelineRunResult(MLContext context, PipelineScore pipelineRunResult)
         {
-            return new SuggestedPipelineRunDetail(SuggestedPipeline.FromPipeline(context, pipelineRunResult.Pipeline), pipelineRunResult.Score, pipelineRunResult.RunSucceded);
+            return new SuggestedPipelineRunDetail(SuggestedPipeline.FromPipeline(context, pipelineRunResult.Pipeline), pipelineRunResult.Score, pipelineRunResult.RunSucceeded);
         }
 
         public IRunResult ToRunResult(bool isMetricMaximizing)

src/Microsoft.ML.AutoML/PipelineSuggesters/PipelineSuggester.cs

@@ -92,11 +92,11 @@ private static IEnumerable<SuggestedTrainer> GetTopTrainers(IEnumerable<Suggeste
             bool isMaximizingMetric)
         {
             // narrow history to first stage runs that succeeded
-            history = history.Take(availableTrainers.Count()).Where(x => x.RunSucceded);
+            history = history.Take(availableTrainers.Count()).Where(x => x.RunSucceeded);
 
             history = history.GroupBy(r => r.Pipeline.Trainer.TrainerName).Select(g => g.First());
             IEnumerable<SuggestedPipelineRunDetail> sortedHistory = history.OrderBy(r => r.Score);
-            if(isMaximizingMetric)
+            if (isMaximizingMetric)
             {
                 sortedHistory = sortedHistory.Reverse();
             }
@@ -198,11 +198,11 @@ private static bool SampleHyperparameters(MLContext context, SuggestedTrainer tr
                 });
 
             IEnumerable<SuggestedPipelineRunDetail> historyToUse = history
-                .Where(r => r.RunSucceded && r.Pipeline.Trainer.TrainerName == trainer.TrainerName && r.Pipeline.Trainer.HyperParamSet != null && r.Pipeline.Trainer.HyperParamSet.Any());
+                .Where(r => r.RunSucceeded && r.Pipeline.Trainer.TrainerName == trainer.TrainerName && r.Pipeline.Trainer.HyperParamSet != null && r.Pipeline.Trainer.HyperParamSet.Any());
 
             // get new set of hyperparameter values
             var proposedParamSet = sweeper.ProposeSweeps(1, historyToUse.Select(h => h.ToRunResult(isMaximizingMetric))).First();
-            if(!proposedParamSet.Any())
+            if (!proposedParamSet.Any())
             {
                 return false;
             }