2.7

Adjusted Signal

2.7

Raw Pattern Score

100%

Time Factor

2026-10-30

Last Push

9.4K

Stars

Language

1.2M

Lines of Code

3.9K

Files

2.2K

Pattern Hits

2026-10-31

Scan Date

0.03

HC Hit Rate

Risk Review · Payload v1

Use each vector to guide manual verification of the underlying findings.

Payload schema: 1.0.0 · Engine: 2.0.0 · Scoring: heuristic-density-v1 · Scan date: 2026-10-31.

Cognitive Ownership Risk 9.7/100 · LOW

Can maintainers explain intent, assumptions, and trade-offs? 2147 finding(s).

Hallucinated Dependency & Supply Chain Risk 2.8/100 · LOW

Are imports declared and package/API names verified? 72 finding(s).

Agent Over-Engineering Ratio 0.3/100 · LOW

Are wrappers, guards, and repeated structures necessary? 19 finding(s).

PR Review Velocity Impact 12.0/100 · LOW

Which changes need focused human review? 2233 finding(s).

What These Metrics Mean

Adjusted Signal: Legacy pattern score normalized per 1,000 scanned lines and multiplied by the repository-level time factor. It is not an estimate of AI authorship.
Raw Pattern Score: Sum of severity- and context-weighted pattern findings before applying the time factor.
Time Factor: A coarse multiplier based on repository last-push metadata. It does not identify when individual code was written.
Pattern Hits: Count of configured pattern findings. Review each location and surrounding code before acting.
HC Hit Rate: High- and critical-severity findings per scanned file. Severity is a configured detector weight, not proof of a vulnerability or authorship.
Lines / Files: Scan coverage denominators used by the legacy normalized score.

Pattern-Signal History

This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.

Severity Breakdown

Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.

CRITICAL 71HIGH 33MEDIUM 44LOW 2085

Directory Score Breakdown

This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.

Pattern Findings

The scanner identified 2233 distinct pattern matches across 17 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.

Over-Commented Block1907 hits · 1866 pts

Severity	File	Line	Snippet	Context
LOW	eng/common/SetupNugetSources.sh	1	#!/usr/bin/env bash	COMMENT
LOW	eng/common/vmr-sync.sh	1	#!/bin/bash	COMMENT
LOW	eng/common/vmr-sync.sh	21	###	COMMENT
LOW	eng/common/native/init-distro-rid.sh	1	#!/bin/sh	COMMENT
LOW	eng/common/native/init-distro-rid.sh	61		COMMENT
LOW	…common/templates-official/variables/pool-providers.yml	1	# Select a pool provider based off branch name. Anything with branch name containing 'release' must go into an -Svc pool	COMMENT
LOW	eng/common/templates/vmr-build-pr.yml	1	# This pipeline is used for running the VMR verification of the PR changes in repo-level PRs.	COMMENT
LOW	eng/common/templates/variables/pool-providers.yml	1	# Select a pool provider based off branch name. Anything with branch name containing 'release' must go into an -Svc pool	COMMENT
LOW	eng/common/core-templates/stages/renovate.yml	1	# --------------------------------------------------------------------------------------	COMMENT
LOW	…g/common/core-templates/steps/get-github-app-token.yml	1	# Mints a short-lived GitHub App installation access token by signing a JWT	COMMENT
LOW	eng/common/core-templates/steps/install-microbuild.yml	1	parameters:	COMMENT
LOW	eng/common/core-templates/job/renovate.yml	1	# --------------------------------------------------------------------------------------	COMMENT
LOW	eng/common/core-templates/job/source-build.yml	1	parameters:	COMMENT
LOW	eng/common/core-templates/job/source-build.yml	21	# published by source-build.	COMMENT
LOW	…toML.SourceGenerator/Template/SweepableEstimator_T_.cs	1	// ------------------------------------------------------------------------------	COMMENT
LOW	….AutoML.SourceGenerator/Template/SweepableEstimator.cs	1	// ------------------------------------------------------------------------------	COMMENT
LOW	….SourceGenerator/Template/SweepableEstimatorFactory.cs	1	// ------------------------------------------------------------------------------	COMMENT
LOW	…soft.ML.AutoML.SourceGenerator/Template/SearchSpace.cs	1	// ------------------------------------------------------------------------------	COMMENT
LOW	…soft.ML.AutoML.SourceGenerator/Template/SearchSpace.cs	281	/// <summary>	COMMENT
LOW	…ft.ML.AutoML.SourceGenerator/Template/EstimatorType.cs	1	// ------------------------------------------------------------------------------	COMMENT
LOW	…osoft.ML.InternalCodeAnalyzer/Descriptions.Designer.cs	1	//------------------------------------------------------------------------------	COMMENT
LOW	tools-local/Microsoft.ML.InternalCodeAnalyzer/Utils.cs	1	// Licensed to the .NET Foundation under one or more agreements.	COMMENT
LOW	test/Microsoft.ML.Core.Tests/UnitTests/TestLoss.cs	21		COMMENT
LOW	…t/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs	161		COMMENT
LOW	…t/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs	181	// CheckSameValues(concatOut.OutputData, postConcatDv);	COMMENT
LOW	…t/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs	201		COMMENT
LOW	…t/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs	1441	var loadedData = mlContext.Data.LoadFromBinary(outputDataPath);	COMMENT
LOW	…t/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs	1461	// ""OutputData"": ""$data2""	COMMENT
LOW	…t/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs	1481	// OutputModel: ""$model3""	COMMENT
LOW	test/Microsoft.ML.Core.Tests/UnitTests/TestVBuffer.cs	1081	/// <param name="len">The length of the vectors to generate</param>	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	2181	/// <param name="onnxTxtName">Optional file path to write the text version of the onnx model.</param>	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	2201	{	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	2221	where TRow : class	COMMENT
LOW	…ML.Tests/TrainerEstimators/MatrixFactorizationTests.cs	381	// Apply the trained model to the examples with out-of-range indexes.	COMMENT
LOW	…ML.Tests/TrainerEstimators/MatrixFactorizationTests.cs	501		COMMENT
LOW	…ML.Tests/TrainerEstimators/MatrixFactorizationTests.cs	521	// s.NumIterations = 100;	COMMENT
LOW	…Tests/Scenarios/Api/CookbookSamples/CookbookSamples.cs	161	var cachedTrainData = mlContext.Data.Cache(trainData);	COMMENT
LOW	…Tests/Scenarios/Api/CookbookSamples/CookbookSamples.cs	241	var modelParameters = trainedModel.LastTransformer.Model as MaximumEntropyModelParameters;	COMMENT
LOW	…L.Tests/Scenarios/Api/Estimators/PredictAndMetadata.cs	41		COMMENT
LOW	test/Microsoft.ML.TestFramework/TestCommandBase.cs	141	{	COMMENT
LOW	test/Microsoft.ML.TestFramework/TestCommandBase.cs	401	var paths = toCompare.Where(pa => (pa.CmpUsage & situation) != PathArgument.Usage.None).ToArray();	COMMENT
LOW	test/Microsoft.ML.TestFramework/TestCommandBase.cs	421	return TestCoreCore(ctx, cmdName, dataPath, PathArgument.Usage.DataModel, null, ctx.ModelPath(), loaderArgs,	COMMENT
LOW	test/Microsoft.ML.TestFramework/TestCommandBase.cs	461	/// stdout</param>	COMMENT
LOW	test/Microsoft.ML.TestFramework/TestCommandBase.cs	481	{	COMMENT
LOW	test/Microsoft.ML.TestFramework/BaseTestBaseline.cs	981	if (inner != null)	COMMENT
LOW	…icrosoft.ML.TestFramework/DataPipe/TestDataPipeBase.cs	161	{	COMMENT
LOW	…mmon/SavePipe/SavePipeTermDictionaryNgramHash-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…t/Common/SavePipe/SavePipeCountTargetEncoding-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…t/Common/SavePipe/SavePipeTermDictionaryNgram-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…aselineOutput/Common/SavePipe/SavePipeWordBag-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…ineOutput/Common/SavePipe/SavePipeInvertHash3-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…ineOutput/Common/SavePipe/SavePipeInvertHash2-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…selineOutput/Common/SavePipe/SavePipeExprVec2-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…t/BaselineOutput/Common/SavePipe/SavePipeHash-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…mon/SavePipe/SavePipeTrainAndScoreFccFastTree-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…ineOutput/Common/SavePipe/SavePipeInvertHash4-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…ineOutput/Common/SavePipe/SavePipeInvertHash5-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…selineOutput/Common/SavePipe/SavePipeExpr-All-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…selineOutput/Common/SavePipe/SavePipeKeyToVec-Data.txt	1	#@ TextLoader{	COMMENT
LOW	…Common/SavePipe/TestParquetPrimitiveDataTypes-Data.txt	1	#@ TextLoader{	COMMENT
1847 more matches not shown…

Hallucination Indicators71 hits · 700 pts

Severity	File	Line	Snippet	Context
CRITICAL	…ML.TestFramework/Attributes/TorchSharpFactAttribute.cs	26	// && Microsoft.ML.TestFrameworkCommon.Utility.NativeLibrary.NativeLibraryExists("torch_cpu");	COMMENT
CRITICAL	…ML.TestFramework/Attributes/TensorflowFactAttribute.cs	26	&& Microsoft.ML.TestFrameworkCommon.Utility.NativeLibrary.NativeLibraryExists("tensorflow");	CODE
CRITICAL	….TestFramework/Attributes/TensorflowTheoryAttribute.cs	26	&& Microsoft.ML.TestFrameworkCommon.Utility.NativeLibrary.NativeLibraryExists("tensorflow");	CODE
CRITICAL⚡	…Rank/FastRank-TrainTest-MSM-sparse-sample-test-out.txt	16	at Microsoft.ML.Runtime.Data.TestCommand.RunCore(IChannel ch) in C:\DotNet\machinelearning\src\Microsoft.ML.Data\Comm	CODE
CRITICAL⚡	…Rank/FastRank-TrainTest-MSM-sparse-sample-test-out.txt	17	at Microsoft.ML.Runtime.Data.TestCommand.Run() in C:\DotNet\machinelearning\src\Microsoft.ML.Data\Commands\TestComman	CODE
CRITICAL⚡	…Rank/FastRank-TrainTest-MSM-sparse-sample-test-out.txt	18	at Microsoft.ML.Runtime.Tools.Maml.MainCore(ConsoleEnvironment env, String args, Boolean alwaysPrintStacktrace) in C:	CODE
CRITICAL	test/Microsoft.ML.CodeGenerator.Tests/UtilTest.cs	200	var actualStr = Microsoft.ML.CodeGenerator.Utilities.Utils.Normalize(testStrArray[i]);	CODE
CRITICAL	…les/Dynamic/Trainers/Regression/LightGbmWithOptions.cs	43	Booster = new Microsoft.ML.Trainers.LightGbm.GossBooster.Options()	CODE
CRITICAL	…c/Microsoft.ML.StandardTrainers/Standard/SdcaBinary.cs	327	int numFeatures = data.Schema.Feature.Value.Type.GetVectorSize();	CODE
CRITICAL	…c/Microsoft.ML.StandardTrainers/Standard/SdcaBinary.cs	2026	int numFeatures = data.Schema.Feature.Value.Type.GetVectorSize();	CODE
CRITICAL	…osoft.ML.Mkl.Components/SymSgdClassificationTrainer.cs	703	int numFeatures = data.Schema.Feature.Value.Type.GetVectorSize();	CODE
CRITICAL	src/Microsoft.ML.FastTree/FastTreeRanking.cs	150	FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();	CODE
CRITICAL	src/Microsoft.ML.FastTree/GamTrainer.cs	233	InputLength = context.TrainingSet.Schema.Feature.Value.Type.GetValueCount();	CODE
CRITICAL	src/Microsoft.ML.FastTree/RandomForestClassification.cs	226	FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();	CODE
CRITICAL	src/Microsoft.ML.FastTree/FastTreeClassification.cs	199	FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();	CODE
CRITICAL	src/Microsoft.ML.FastTree/TreeEnsembleFeaturizer.cs	655	if (vm.InputType.GetVectorSize() != data.Schema.Feature.Value.Type.GetVectorSize())	CODE
CRITICAL	src/Microsoft.ML.FastTree/TreeEnsembleFeaturizer.cs	659	vm.InputType.GetVectorSize(), data.Schema.Feature.Value.Type.GetVectorSize());	CODE
CRITICAL	src/Microsoft.ML.FastTree/TreeEnsembleFeaturizer.cs	726	if (data != null && vm.InputType.GetVectorSize() != data.Schema.Feature.Value.Type.GetVectorSize())	CODE
CRITICAL	src/Microsoft.ML.FastTree/TreeEnsembleFeaturizer.cs	730	vm.InputType.GetVectorSize(), data.Schema.Feature.Value.Type.GetVectorSize());	CODE
CRITICAL	src/Microsoft.ML.FastTree/FastTreeTweedie.cs	130	FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();	CODE
CRITICAL	src/Microsoft.ML.FastTree/RandomForestRegression.cs	363	FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();	CODE
CRITICAL	src/Microsoft.ML.FastTree/FastTreeRegression.cs	120	FeatureCount = trainData.Schema.Feature.Value.Type.GetValueCount();	CODE
CRITICAL	…soft.ML.Data/Scorers/MulticlassClassificationScorer.cs	417	var keyType = trainSchema.Label.Value.Annotations.Schema.GetColumnOrNull(AnnotationUtils.Kinds.KeyValues)?.T	CODE
CRITICAL	…soft.ML.Data/Scorers/MulticlassClassificationScorer.cs	493	var type = trainSchema.Label.Value.Annotations.Schema.GetColumnOrNull(AnnotationUtils.Kinds.KeyValues)?.Type	CODE
CRITICAL	src/Microsoft.ML.Data/Scorers/BinaryClassifierScorer.cs	67	var keyType = trainSchema.Label.Value.Annotations.Schema.GetColumnOrNull(AnnotationUtils.Kinds.KeyValues)?.T	CODE
CRITICAL	src/Microsoft.ML.Data/Utilities/StreamUtils.cs	21	return Microsoft.ML.Internal.IO.ZStreamIn.Open(fileName);	CODE
CRITICAL	src/Microsoft.ML.Data/Transforms/ValueMapping.cs	508	else if (Microsoft.ML.Data.Conversion.Conversions.DefaultInstance.TryParse(in value, out res))	CODE
CRITICAL	…/Microsoft.ML.Ensemble/OutputCombiners/BaseStacking.cs	155	switch (data.Schema.Label.Value.Type.GetRawKind())	CODE
CRITICAL	…oft.ML.TorchSharp/NasBert/TextClassificationTrainer.cs	219	Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke(SaveLabelValues<int>, labelColType.ItemType.RawTyp	CODE
CRITICAL	…oft.ML.TorchSharp/NasBert/TextClassificationTrainer.cs	284	var labelGetter = Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke(_decodeInitMethodInfo, vecType.ItemTyp	CODE
CRITICAL	src/Microsoft.ML.TorchSharp/NasBert/NerTrainer.cs	282	Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke(SaveLabelValues<int>, labelColType.ItemType.RawTyp	CODE
CRITICAL	src/Microsoft.ML.TorchSharp/NasBert/NerTrainer.cs	347	var labelGetter = Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke(_decodeInitMethodInfo, vecType.ItemTyp	CODE
CRITICAL	src/Microsoft.ML.TorchSharp/NasBert/NasBertTrainer.cs	521	var getter = Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke(_makeLabelAnnotationGetter, this, k	CODE
CRITICAL	src/Microsoft.ML.TorchSharp/NasBert/NasBertTrainer.cs	543	var getter = Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke(_makeLabelAnnotationGetter, this, k	CODE
CRITICAL	…t.ML.TorchSharp/AutoFormerV2/ObjectDetectionTrainer.cs	626	Microsoft.ML.Internal.Utilities.Utils.MarshalActionInvoke(SaveLabelValues<int>, labelColType.ItemType.RawTyp	CODE
CRITICAL	…t.ML.TorchSharp/AutoFormerV2/ObjectDetectionTrainer.cs	701	var labelGetter = Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke(_decodeInitMethodInfo, vecType.ItemTyp	CODE
CRITICAL	…t.ML.TorchSharp/AutoFormerV2/ObjectDetectionTrainer.cs	756	var getter = Microsoft.ML.Internal.Utilities.Utils.MarshalInvoke(_makeLabelAnnotationGetter, this, keyTy	CODE
CRITICAL⚡	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	740	T = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();	CODE
CRITICAL⚡	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	748	G = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto();	CODE
CRITICAL⚡	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	756	SparseTensor = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.SparseTenso	CODE
CRITICAL⚡	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	4627	TensorType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto	CODE
CRITICAL⚡	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	4634	SequenceType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypePro	CODE
CRITICAL⚡	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	4641	MapType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Ty	CODE
CRITICAL⚡	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	4648	SparseTensorType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.Typ	CODE
CRITICAL⚡	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	4655	OpaqueType = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	804	T = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProt	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	813	G = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	864	SparseTensor = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	1109	Type = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto();	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	1140	Type = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypePro	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	1903	Graph = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphProto();	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	1956	Graph = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.GraphP	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	3220	Segment = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto.Type	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	3276	Segment = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.Tens	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	3820	Values = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	3828	Indices = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TensorProto();	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	3851	Values = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.Tenso	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	3860	Indices = new global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.Tens	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	4677	global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Tensor	CODE
CRITICAL	src/Microsoft.ML.OnnxConverter/OnnxMl.cs	4688	global::Microsoft.ML.Model.OnnxConverter.OnnxCSharpToProtoWrapper.TypeProto.Types.Sequen	CODE
11 more matches not shown…

Structural Annotation Overuse85 hits · 150 pts

Severity	File	Line	Snippet	Context
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	90	// Step 2: Convert ML.NET model to ONNX format and save it as a model file and a text file.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	93	// Step 3: Check ONNX model's text format. This test will be not necessary if Step 2 can run on Linux and	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	310	// Step 1: Test calibrator with binary prediction trainer	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	318	// Step 2: Test calibrator without any binary prediction trainer	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	323	// Step 3: Test calibrator with a non-default Score column name and without any binary prediction trainer	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1783	// Step 2: Load back the saved .idv	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1790	// Step 3: Create ONNX model which simply applies Identity to Label column	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1798	// Step 4: Get input and output names of model	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1805	// Step 5: Apply Onnx Model	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1810	// Step 6: Compare results to an onnx model created using the mappedData IDataView	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	68	// Step 1: Create and train a ML.NET pipeline.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	168	// Step 2: Convert ML.NET model to ONNX format and save it as a model file and a text file.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	209	// Step 2: Convert ML.NET model to ONNX format and save it as a model file and a text file.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	564	// Step 1: Create and train a ML.NET pipeline.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	595	// Step 1: Create and train a ML.NET pipeline.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1759	// Step 1: Load the Iris Dataset and apply a Value To Key Mapping to it.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	66	// Step 1: Read the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	73	// Step 2: Create a binary classifier.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	84	// Step 3: Train the pipeline created.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	87	// Step 4: Make prediction and evaluate its quality (on training set).	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	97	// Step 5: Inspect the prediction of the first example.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	119	// Step 1: Read and cache the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	122	// Step 2: Create a binary classifier that exercises the parallel training path.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	132	// Step 3: Train and evaluate the classifier on the training data.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	136	// Step 4: Evaluate a featureless classifier as a quality baseline.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	270	// Step 1: Read the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	277	// Step 2: Create a binary classifier.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	282	// Step 3: Train the pipeline created.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	285	// Step 4: Make prediction and evaluate its quality (on training set).	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	294	// Step 5: Inspect the prediction of the first example.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	312	// Step 1: Read the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	319	// Step 2: Create a binary classifier.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	325	// Step 3: Train the pipeline created.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	328	// Step 4: Make prediction and evaluate its quality (on training set).	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	347	// Step 1: Read the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	354	// Step 2: Create a binary classifier.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	359	// Step 3: Train the pipeline created.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	362	// Step 4: Make prediction and evaluate its quality (on training set).	COMMENT
LOW⚡	.github/agents/code-testing-generator.agent.md	28	### Step 1: Clarify the Request	COMMENT
LOW⚡	.github/agents/code-testing-generator.agent.md	36	### Step 2: Choose Execution Strategy	COMMENT
LOW⚡	.github/agents/code-testing-generator.agent.md	46	### Step 3: Research Phase	COMMENT
LOW	.github/agents/code-testing-generator.agent.md	59	### Step 4: Planning Phase	COMMENT
LOW	.github/agents/code-testing-generator.agent.md	72	### Step 5: Implementation Phase	COMMENT
LOW	.github/agents/code-testing-generator.agent.md	83	### Step 6: Final Build Validation	COMMENT
LOW⚡	.github/agents/code-testing-generator.agent.md	94	### Step 7: Final Test Validation	COMMENT
LOW⚡	.github/agents/code-testing-generator.agent.md	102	### Step 8: Coverage Gap Iteration	COMMENT
LOW⚡	.github/agents/code-testing-generator.agent.md	112	### Step 9: Report Results	COMMENT
LOW	.github/skills/ci-scan/references/playbook.md	37	## Step 1 - Select the source build	COMMENT
LOW⚡	.github/skills/ci-scan/references/playbook.md	48	## Step 2 - Walk the timeline	COMMENT
LOW⚡	.github/skills/ci-scan/references/playbook.md	58	## Step 3 - Classify each failure	COMMENT
LOW⚡	.github/skills/ci-scan/references/playbook.md	62	## Step 4 - Follow-up gate	COMMENT
LOW⚡	.github/skills/ci-scan/references/playbook.md	66	## Step 5 - Dedup	COMMENT
LOW	.github/skills/ci-scan/references/playbook.md	77	## Step 6 - Draft the KBE	COMMENT
LOW	.github/skills/ci-scan/references/playbook.md	81	## Step 7 - Tally	COMMENT
LOW	.github/skills/code-testing-agent/SKILL.md	66	### Step 1: Determine the user request	COMMENT
LOW	.github/skills/code-testing-agent/SKILL.md	72	### Step 2: Invoke the Test Generator	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	554	// Step 1: Get backadd wave	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	557	// Step 2: FFT transformation	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	565	// Step 3: Calculate mags of FFT	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	581	// Step 4: Calculate spectral	COMMENT
25 more matches not shown…

Synthetic Comment Markers19 hits · 140 pts

Severity	File	Line	Snippet	Context
HIGH	…toML.SourceGenerator/Template/SweepableEstimator_T_.cs	3	// This code was generated by a tool.	COMMENT
HIGH	….AutoML.SourceGenerator/Template/SweepableEstimator.cs	3	// This code was generated by a tool.	COMMENT
HIGH	….SourceGenerator/Template/SweepableEstimatorFactory.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…soft.ML.AutoML.SourceGenerator/Template/SearchSpace.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…ft.ML.AutoML.SourceGenerator/Template/EstimatorType.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…osoft.ML.InternalCodeAnalyzer/Descriptions.Designer.cs	3	// This code was generated by a tool.	COMMENT
HIGH	test/Microsoft.ML.Tokenizers.Tests/BpeTests.cs	696	"mock testing with AI-generated scenarios: # test_database.py from unittest.mock import Mock import	CODE
HIGH	…es/Azure/Model/AzureObjectDetectionModelOutputClass.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…or/Templates/Azure/Model/AzureImageModelOutputClass.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…Generator/Templates/Azure/Console/AzureModelBuilder.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…oft.ML.CodeGenerator/Templates/Console/ModelBuilder.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…oft.ML.CodeGenerator/Templates/Console/ModelProject.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…oft.ML.CodeGenerator/Templates/Console/ConsumeModel.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…ML.CodeGenerator/Templates/Console/ModelOutputClass.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…t.ML.CodeGenerator/Templates/Console/PredictProgram.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…t.ML.CodeGenerator/Templates/Console/PredictProject.cs	3	// This code was generated by a tool.	COMMENT
HIGH	….ML.CodeGenerator/Templates/Console/ModelInputClass.cs	3	// This code was generated by a tool.	COMMENT
HIGH	src/Microsoft.Data.Analysis/Strings.Designer.cs	3	// This code was generated by a tool.	COMMENT
HIGH	…crosoft.ML.Transforms/Properties/Resources.Designer.cs	3	// This code was generated by a tool.	COMMENT

Verbosity Indicators67 hits · 116 pts

Severity	File	Line	Snippet	Context
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	90	// Step 2: Convert ML.NET model to ONNX format and save it as a model file and a text file.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	93	// Step 3: Check ONNX model's text format. This test will be not necessary if Step 2 can run on Linux and	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	310	// Step 1: Test calibrator with binary prediction trainer	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	318	// Step 2: Test calibrator without any binary prediction trainer	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	323	// Step 3: Test calibrator with a non-default Score column name and without any binary prediction trainer	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1783	// Step 2: Load back the saved .idv	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1790	// Step 3: Create ONNX model which simply applies Identity to Label column	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1798	// Step 4: Get input and output names of model	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1805	// Step 5: Apply Onnx Model	COMMENT
LOW⚡	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1810	// Step 6: Compare results to an onnx model created using the mappedData IDataView	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	68	// Step 1: Create and train a ML.NET pipeline.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	168	// Step 2: Convert ML.NET model to ONNX format and save it as a model file and a text file.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	209	// Step 2: Convert ML.NET model to ONNX format and save it as a model file and a text file.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	564	// Step 1: Create and train a ML.NET pipeline.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	595	// Step 1: Create and train a ML.NET pipeline.	COMMENT
LOW	test/Microsoft.ML.Tests/OnnxConversionTest.cs	1759	// Step 1: Load the Iris Dataset and apply a Value To Key Mapping to it.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	66	// Step 1: Read the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	73	// Step 2: Create a binary classifier.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	84	// Step 3: Train the pipeline created.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	87	// Step 4: Make prediction and evaluate its quality (on training set).	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	97	// Step 5: Inspect the prediction of the first example.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	119	// Step 1: Read and cache the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	122	// Step 2: Create a binary classifier that exercises the parallel training path.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	132	// Step 3: Train and evaluate the classifier on the training data.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	136	// Step 4: Evaluate a featureless classifier as a quality baseline.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	270	// Step 1: Read the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	277	// Step 2: Create a binary classifier.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	282	// Step 3: Train the pipeline created.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	285	// Step 4: Make prediction and evaluate its quality (on training set).	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	294	// Step 5: Inspect the prediction of the first example.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	312	// Step 1: Read the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	319	// Step 2: Create a binary classifier.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	325	// Step 3: Train the pipeline created.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	328	// Step 4: Make prediction and evaluate its quality (on training set).	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	347	// Step 1: Read the data as an IDataView.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	354	// Step 2: Create a binary classifier.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	359	// Step 3: Train the pipeline created.	COMMENT
LOW⚡	test/Microsoft.ML.Tests/TrainerEstimators/SdcaTests.cs	362	// Step 4: Make prediction and evaluate its quality (on training set).	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	554	// Step 1: Get backadd wave	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	557	// Step 2: FFT transformation	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	565	// Step 3: Calculate mags of FFT	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	581	// Step 4: Calculate spectral	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	589	// Step 5: IFFT transformation	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	730	//Step 8: Calculate Expected Value	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	739	//Step 8: Calculated Expected Value	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	742	//Step 9: Calculate Boundary Unit	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	747	//Step 10: Calculate UpperBound and LowerBound	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	834	//Step 8: Calculate Expected Value	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	838	//Step 9: Calculate Boundary Unit	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	843	//Step 10: Calculate UpperBound and LowerBound	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	851	//Step 11: Update Anomaly Score	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	854	//Step 12: Update IsAnomaly	COMMENT
LOW⚡	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	857	//Step 13: Update Expected Value, LowerBound and UpperBound for not anomaly points.	COMMENT
LOW	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	610	// Step 6: Calculate mag and ave_mag of IFFT	COMMENT
LOW	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	623	// Step 7: Calculate raw score and set result	COMMENT
LOW	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	718	//Step 8: Calculate Expected Value	COMMENT
LOW	…/Microsoft.ML.TimeSeries/SrCnnEntireAnomalyDetector.cs	816	//Step 11: Update Anomaly Score, Expected Value and Boundaries	COMMENT
LOW⚡	…c/Microsoft.ML.TimeSeries/SrCnnAnomalyDetectionBase.cs	174	// Step 1: Get backadd wave	COMMENT
LOW⚡	…c/Microsoft.ML.TimeSeries/SrCnnAnomalyDetectionBase.cs	177	// Step 2: FftTransform transformation	COMMENT
LOW⚡	…c/Microsoft.ML.TimeSeries/SrCnnAnomalyDetectionBase.cs	183	// Step 3: Calculate mags of FftTransform	COMMENT
7 more matches not shown…

AI Slop Vocabulary35 hits · 104 pts

Severity	File	Line	Snippet	Context
MEDIUM	eng/common/cross/install-debs.py	128	# keyboxd, which makes it robust on hosts running GnuPG 2.4+ (e.g. Azure	COMMENT
LOW	…ommon/core-templates/steps/enable-internal-sources.yml	34	# If running on dnceng (internal project), just use the default behavior for NuGetAuthenticate.	COMMENT
MEDIUM	test/Microsoft.ML.TestFramework/TestCommandBase.cs	640	/// do not use this, but instead utilize the <see cref="TestCommandBase.RunContextBase.InitPath"/>	COMMENT
MEDIUM	…ard/LogisticRegression/MulticlassLogisticRegression.cs	173	// Should we instead leverage the pass made by the LBFGS base class? Ideally, it wouldn't	COMMENT
MEDIUM	src/Microsoft.ML.FastTree/GamTrainer.cs	76	/// Whether to utilize the disk or the data's native transposition facilities (where applicable) when perfor	COMMENT
MEDIUM	src/Microsoft.ML.FastTree/FastTreeArguments.cs	397	/// Whether to utilize the disk or the data's native transposition facilities (where applicable) when performing	COMMENT
MEDIUM	src/Microsoft.ML.TimeSeries/STL/InnerStl.cs	113	/// The core for the robust trend-seasonal decomposition. See the ref: http://www.wessa.net/download/stl.pdf,	COMMENT
MEDIUM	src/Microsoft.ML.TimeSeries/STL/Loess.cs	132	/// This is used for robust weight, It is one iteration step of loess.	COMMENT
MEDIUM	src/Microsoft.ML.TimeSeries/STL/Loess.cs	175	/// The number of iterations for robust regression.	COMMENT
MEDIUM	src/Microsoft.ML.Core/Utilities/Stats.cs	234	/// <remarks>Should be robust for all values of n, p</remarks>	COMMENT
MEDIUM	src/Microsoft.ML.Core/Data/ServerChannel.cs	37	/// performant though more robust calls to <see cref="Register{TRet}"/> and	COMMENT
MEDIUM	src/Microsoft.ML.Data/DataView/CacheDataView.cs	740	/// robust to that usage.)	COMMENT
MEDIUM	…soft.ML.Data/DataLoadSave/LegacyCompositeDataLoader.cs	345	/// Essentially, this is a helper method for the LoadTransform class.	COMMENT
MEDIUM	src/Microsoft.ML.Data/DataLoadSave/MultiFileSource.cs	29	/// The provided <paramref name="paths"/> can utilize wildcards to load all source files. For example:	COMMENT
MEDIUM	src/Microsoft.ML.Data/DataLoadSave/TransformWrapper.cs	12	/// Note that there are some important differences in usages that make this shimming somewhat non-seamless, so the g	COMMENT
MEDIUM	…c/Microsoft.ML.Data/DataLoadSave/Binary/BinarySaver.cs	843	/// <param name="type">The type of the codec to write and utilize</param>	COMMENT
MEDIUM	src/Microsoft.ML.Data/Utilities/ApplyTransformUtils.cs	77	// It's probably more robust to make CompositeDataLoader not even be an IDataView, this	COMMENT
MEDIUM	src/Microsoft.ML.Data/Transforms/Normalizer.cs	50	/// * Robust Scaling - Optionally centers the data and scales based on the range of data and the quantile min and ma	COMMENT
MEDIUM	src/Microsoft.ML.Data/Transforms/InvertHashUtils.cs	48	// Second choice: if key, utilize the KeyValues metadata for that key, if it has one and is text.	COMMENT
MEDIUM	…crosoft.ML.Data/Transforms/TrainAndScoreTransformer.cs	103	// Essentially, all trainer estimators when fitted return a transformer that produces scores -- which is to say, all	COMMENT
MEDIUM	…oft.ML.Data/Transforms/ValueToKeyMappingTransformer.cs	69	// REVIEW: This pattern isn't robust enough. If a new field is added, this code needs	COMMENT
MEDIUM	…/Microsoft.ML.Data/Transforms/LabelConvertTransform.cs	165	// Certainly there's nothing contractual requiring I suppress this. Should I suppress	COMMENT
MEDIUM	src/Microsoft.ML.Data/Dirty/IniFileUtils.cs	19	// TODO: Should be made more robust to handle things like "Evaluators = " sand such.	COMMENT
MEDIUM	src/Microsoft.ML.Data/Commands/SaveDataCommand.cs	165	// If it is a text saver, utilize a special utility for this purpose.	COMMENT
MEDIUM	…ft.ML.AutoML/API/MulticlassClassificationExperiment.cs	32	/// Collection of trainers the AutoML experiment can leverage.	COMMENT
MEDIUM	src/Microsoft.ML.AutoML/API/RecommendationExperiment.cs	24	/// Collection of trainers the AutoML experiment can leverage.	COMMENT
MEDIUM	…rosoft.ML.AutoML/API/BinaryClassificationExperiment.cs	34	/// Collection of trainers the AutoML experiment can leverage.	COMMENT
MEDIUM	src/Microsoft.ML.AutoML/API/RegressionExperiment.cs	32	/// Collection of trainers the AutoML experiment can leverage.	COMMENT
MEDIUM	src/Microsoft.ML.AutoML/API/RankingExperiment.cs	23	/// Collection of trainers the AutoML experiment can leverage.	COMMENT
MEDIUM	src/Microsoft.ML.DataView/VBuffer.cs	368	/// if one is doing a more involved computation involving many operations, it may be faster to utilize	COMMENT
MEDIUM	…osoft.ML.Transforms/MissingValueHandlingTransformer.cs	117	/// <param name="replaceWith">The replacement method to utilize.</param>	COMMENT
MEDIUM	src/Microsoft.ML.Transforms/NormalizerCatalog.cs	327	/// Create a <see cref="NormalizingEstimator"/>, which normalizes using statistics that are robust to outliers b	COMMENT
MEDIUM	src/Microsoft.ML.Transforms/NormalizerCatalog.cs	358	/// Create a <see cref="NormalizingEstimator"/>, which normalizes using statistics that are robust to outliers b	COMMENT
MEDIUM	src/Microsoft.ML.Transforms/LambdaTransform.cs	92	/// argument into its <typeparamref name="TDst"/> argument and can utilize the per-cursor <typeparamref name="TS	COMMENT
MEDIUM	…icrosoft.ML.Transforms/Text/NgramHashingTransformer.cs	833	// re-used. The collector will utilize its copier to make it safe, in	COMMENT

AI Response Leakage8 hits · 60 pts

Severity	File	Line	Snippet	Context
HIGH	…L.Transforms/PermutationFeatureImportanceExtensions.cs	44	/// In this implementation, PFI computes the change in all possible regression evaluation metrics for each featu	COMMENT
HIGH	…L.Transforms/PermutationFeatureImportanceExtensions.cs	107	/// In this implementation, PFI computes the change in all possible regression evaluation metrics for each featu	COMMENT
HIGH	…L.Transforms/PermutationFeatureImportanceExtensions.cs	194	/// In this implementation, PFI computes the change in all possible binary classification evaluation metrics for	COMMENT
HIGH	…L.Transforms/PermutationFeatureImportanceExtensions.cs	257	/// In this implementation, PFI computes the change in all possible binary classification evaluation metrics for	COMMENT
HIGH	…L.Transforms/PermutationFeatureImportanceExtensions.cs	348	/// In this implementation, PFI computes the change in all possible multiclass classification evaluation metrics	COMMENT
HIGH	…L.Transforms/PermutationFeatureImportanceExtensions.cs	411	/// In this implementation, PFI computes the change in all possible multiclass classification evaluation metrics	COMMENT
HIGH	…L.Transforms/PermutationFeatureImportanceExtensions.cs	507	/// In this implementation, PFI computes the change in all possible ranking evaluation metrics for each feature,	COMMENT
HIGH	…L.Transforms/PermutationFeatureImportanceExtensions.cs	572	/// In this implementation, PFI computes the change in all possible ranking evaluation metrics for each feature,	COMMENT

Cross-File Repetition6 hits · 30 pts

Severity	File	Snippet	Context
HIGH	…mon/Command/SavePipeTextLoaderWithMultilines-1-out.txt	bird 16 here is text after the empty line dog 17 this is a line with an empty animal "" 0 this is a line with an empty i	STRING
HIGH	…ommon/Command/SavePipeTextLoaderWithMultilines-out.txt	bird 16 here is text after the empty line dog 17 this is a line with an empty animal "" 0 this is a line with an empty i	STRING
HIGH	…d/linux-arm/SavePipeTextLoaderWithMultilines-1-out.txt	bird 16 here is text after the empty line dog 17 this is a line with an empty animal "" 0 this is a line with an empty i	STRING
HIGH	…and/linux-arm/SavePipeTextLoaderWithMultilines-out.txt	bird 16 here is text after the empty line dog 17 this is a line with an empty animal "" 0 this is a line with an empty i	STRING
HIGH	…linux-arm64/SavePipeTextLoaderWithMultilines-1-out.txt	bird 16 here is text after the empty line dog 17 this is a line with an empty animal "" 0 this is a line with an empty i	STRING
HIGH	…d/linux-arm64/SavePipeTextLoaderWithMultilines-out.txt	bird 16 here is text after the empty line dog 17 this is a line with an empty animal "" 0 this is a line with an empty i	STRING

Decorative Section Separators6 hits · 27 pts

Severity	File	Line	Snippet	Context
MEDIUM⚡	eng/common/core-templates/stages/renovate.yml	1	# --------------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	eng/common/core-templates/stages/renovate.yml	3	# --------------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	eng/common/core-templates/stages/renovate.yml	9	# --------------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	eng/common/core-templates/job/renovate.yml	1	# --------------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	eng/common/core-templates/job/renovate.yml	3	# --------------------------------------------------------------------------------------	COMMENT
MEDIUM⚡	eng/common/core-templates/job/renovate.yml	17	# --------------------------------------------------------------------------------------	COMMENT

Redundant / Tautological Comments9 hits · 14 pts

Severity	File	Line	Snippet	Context
LOW	eng/common/tools.sh	333	# Check if the script is older than 30 days using timestamp file	COMMENT
LOW	eng/common/tools.sh	442	# Check if the toolset has already been extracted	COMMENT
LOW	eng/common/SetupNugetSources.sh	66	# Check if disabledPackageSources section exists	COMMENT
LOW	eng/common/SetupNugetSources.sh	72	# Check if this source name is disabled	COMMENT
LOW	eng/common/SetupNugetSources.sh	92	# Check if source already exists	COMMENT
LOW	eng/common/SetupNugetSources.sh	122	# Check if disabledPackageSources section exists	COMMENT
LOW	eng/common/SetupNugetSources.sh	192	# Check if there is no existing credential for this FeedName	COMMENT
LOW	eng/common/core-templates/steps/source-build.yml	31	# Check if AzDO substitutes in a build config from a variable, and use it if so.	COMMENT
LOW	eng/common/core-templates/steps/install-microbuild.yml	64	# Check if ESRP is disabled while SignType is real	COMMENT

Example Usage Blocks4 hits · 7 pts

Severity	File	Line	Snippet	Context
LOW	eng/common/native/install-dependencies.sh	7	# Usage:	COMMENT
LOW	…common/templates-official/variables/pool-providers.yml	12	# How to use:	COMMENT
LOW	eng/common/templates/variables/pool-providers.yml	12	# How to use:	COMMENT
LOW⚡	eng/common/core-templates/job/renovate.yml	11	# Usage:	COMMENT

Deep Nesting6 hits · 6 pts

Severity	File	Line	Context
LOW	eng/common/cross/install-debs.py	20	CODE
LOW	eng/common/cross/install-debs.py	198	CODE
LOW	eng/common/cross/install-debs.py	223	CODE
LOW	eng/common/cross/install-debs.py	261	CODE
LOW	eng/common/cross/install-debs.py	295	CODE
LOW	eng/common/cross/install-debs.py	350	CODE

Self-Referential Comments2 hits · 6 pts

Severity	File	Line	Snippet	Context
MEDIUM	eng/common/cross/build-rootfs.sh	693	# Create the symlink in the same directory	COMMENT
MEDIUM	eng/common/core-templates/job/helix-job-monitor.yml	214	# Create a minimal NuGet.config that only references the local nupkg directory.	COMMENT

Excessive Try-Catch Wrapping2 hits · 4 pts

Severity	File	Line	Snippet	Context
MEDIUM	eng/common/cross/install-debs.py	44	print(f"Error downloading {url}: {type(e).__name__} - {e}. Retrying...")	CODE
MEDIUM	eng/common/cross/install-debs.py	208	print(f"Error: Package '{current}' was not found in the available packages.")	CODE

Hyper-Verbose Identifiers4 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	eng/common/cross/install-debs.py	51	async def download_deb_files_parallel(mirror, packages, tmp_dir):	CODE
LOW	eng/common/cross/install-debs.py	67	async def download_package_index_parallel(mirror, arch, suites, check_sig, keyring):	CODE
LOW	eng/common/cross/install-debs.py	339	def _rootfs_extraction_filter(member, dest_path):	CODE
LOW	…osoft.ML.Mkl.Components/SymSgdClassificationTrainer.cs	528	private sealed class InputDataManager : IDisposable	CODE

Unused Imports1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	eng/common/cross/install-debs.py	18		CODE

AI Structural Patterns1 hit · 1 pts

Severity	File	Line	Snippet	Context
LOW	docs/samples/Microsoft.ML.Samples.OneDal/run_bench.py	92		CODE

dotnet/machinelearning

Open-Source Code Quality, Security and Technical Debt Review