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7 changes: 0 additions & 7 deletions Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,8 +36,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TestFramework", "test\Microsoft.ML.TestFramework\Microsoft.ML.TestFramework.csproj", "{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.InternalStreams", "src\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj", "{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}"

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🎆 🍾 😆 Good riddance!!

EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Predictor.Tests", "test\Microsoft.ML.Predictor.Tests\Microsoft.ML.Predictor.Tests.csproj", "{6B047E09-39C9-4583-96F3-685D84CA4117}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ResultProcessor", "src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj", "{3769FCC3-9AFF-4C37-97E9-6854324681DF}"
Expand DownExpand Up@@ -150,10 +148,6 @@ Global
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Debug|Any CPU.Build.0 = Debug|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.ActiveCfg = Release|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.Build.0 = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.Build.0 = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.ActiveCfg = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.Build.0 = Release|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Release|Any CPU.ActiveCfg = Release|Any CPU
Expand DownExpand Up@@ -218,7 +212,6 @@ Global
{2F636A2C-062C-49F4-85F3-60DCADAB6A43} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{64BC22D3-1E76-41EF-94D8-C79E471FF2DD} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{6B047E09-39C9-4583-96F3-685D84CA4117} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{3769FCC3-9AFF-4C37-97E9-6854324681DF} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{B7B593C5-FB8C-4ADA-A638-5B53B47D087E} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -15,7 +15,6 @@
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
<ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
<ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
<ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />
<ProjectReference Include="..\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" />
Expand Down
6 changes: 0 additions & 6 deletions src/Microsoft.ML.Core/Utilities/DoubleParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -433,12 +433,6 @@ public static bool TryParse(out Double value, string s, int ichMin, int ichLim,
if (FloatUtils.GetBits(x) != 0 || FloatUtils.GetBits(value) != TopBit || !neg)
{
System.Diagnostics.Debug.WriteLine("*** FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value));
//if (!_failed)
//{
// // REVIEW: Double.Parse gets several things wrong, like mapping 148e-325 to 0x2 instead of 0x3.
// _failed = true;
// Contracts.Assert(false, string.Format("FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value)));
//}
}
}
#endif
Expand Down
4 changes: 0 additions & 4 deletions src/Microsoft.ML.Core/Utilities/MathUtils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -258,10 +258,6 @@ public static Float SoftMax(Float[] inputs, int count)
if (count == 1)
return max;

//else if (leng == 2) {
// return SoftMax(inputs[0], inputs[1]);
//}

double intermediate = 0.0;
Float cutoff = max - LogTolerance;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/DataLoadSave/Text/TextLoaderParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -137,9 +137,9 @@ private sealed class ParseStats
private volatile int _cref;

// Total number of rows, number of unparsable values, number of format errors.
private /*volatile*/ long _rowCount;
private /*volatile*/ long _badCount;
private /*volatile*/ long _fmtCount;
private long _rowCount;
private long _badCount;
private long _fmtCount;

public ParseStats(IChannelProvider provider, int cref, long maxShow = MaxShow)
{
Expand Down
9 changes: 0 additions & 9 deletions src/Microsoft.ML.FastTree/Application/LogLossApplication.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -107,15 +107,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

_gradient[d1] += delta;
_gradient[d2] -= delta;
/*
double labelDiff = (labels[d1] - labels[d2]);
double margin = labelDiff * (_scores[d1] - _scores[d2]);
if (_coef - margin > 0)
{
_gradient[d1] += 0.01 * labelDiff;
_gradient[d2] -= 0.01 * labelDiff;
}
*/
}
}
}
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -120,7 +120,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

double inverseMaxDCG = _inverseMaxDCGT[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = Labels;
Expand Down
30 changes: 1 addition & 29 deletions src/Microsoft.ML.FastTree/Dataset/FeatureFlock.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -698,20 +698,6 @@ public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTr
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/

sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand DownExpand Up@@ -933,21 +919,7 @@ public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressio
{
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/


sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand Down
3 changes: 0 additions & 3 deletions src/Microsoft.ML.FastTree/Dataset/SegmentIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -168,11 +168,8 @@ public static void StatsOfBestEncoding(uint[] ivalues, int bitsForMaxItem, bool

max = 0;
bits = TransitionCost;
//IEnumerator<int> ienum = ivalues.GetEnumerator();
//while (ienum.MoveNext())
for (int i = 0; i < ivalues.Length; ++i)
{
//uint val = (uint)ienum.Current;
uint val = (uint)ivalues[i];
if (val > max)
max = val;
Expand Down
5 changes: 0 additions & 5 deletions src/Microsoft.ML.FastTree/Dataset/SparseIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -546,13 +546,9 @@ public unsafe int this[int virtualIndex]
{
get
{
//if (virtualIndex < _index) throw new Exception("Index must move forward");

if (virtualIndex < _nextIndex)
return 0;

//if (virtualIndex >= _array._length) throw new IndexOutOfRangeException();

if (virtualIndex == _nextIndex)
return _array._values[_pos];

Expand All@@ -561,7 +557,6 @@ public unsafe int this[int virtualIndex]
{
while (_pos < _array._values.Length)
{
//_index = _nextIndex;
_nextIndex += pDeltas[_pos];
if (virtualIndex < _nextIndex)
return 0;
Expand Down
2 changes: 0 additions & 2 deletions src/Microsoft.ML.FastTree/FastTreeRanking.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -579,7 +579,6 @@ private void SetupSecondaryGains(Arguments args)
_secondaryMetricShare = 0.0;
return;
}
//for (int i = 0; i < _secondaryGains.Length; ++i) _secondaryGains[i] *= cmd.secondaryMetricShare;
_secondaryInverseMaxDCGT = DCGCalculator.MaxDCG(_secondaryGains, Dataset.Boundaries,
new int[] { args.lambdaMartMaxTruncation })[0].Select(d => 1.0 / d).ToArray();
}
Expand DownExpand Up@@ -726,7 +725,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)
double inverseMaxDcg = _inverseMaxDcgt[query];
double secondaryInverseMaxDcg = _secondaryMetricShare == 0 ? 0.0 : _secondaryInverseMaxDcgt[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = _labels;
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,7 +12,6 @@
<ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
<ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
</ItemGroup>

<ItemGroup>
Expand Down
2 changes: 1 addition & 1 deletion src/Microsoft.ML.FastTree/Training/ScoreTracker.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -53,7 +53,7 @@ public void Initialize(ScoreTracker scores1, RegressionTree tree, DocumentPartit
}

//InitScores -initScores can be null in such case the scores are reinitialized to Zero
private void InitializeScores(double[] initScores /* = null */)
private void InitializeScores(double[] initScores)
{
if (initScores == null)
{
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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7 changes: 0 additions & 7 deletions Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,8 +36,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TestFramework", "test\Microsoft.ML.TestFramework\Microsoft.ML.TestFramework.csproj", "{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.InternalStreams", "src\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj", "{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}"

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🎆 🍾 😆 Good riddance!!

EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Predictor.Tests", "test\Microsoft.ML.Predictor.Tests\Microsoft.ML.Predictor.Tests.csproj", "{6B047E09-39C9-4583-96F3-685D84CA4117}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ResultProcessor", "src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj", "{3769FCC3-9AFF-4C37-97E9-6854324681DF}"
Expand DownExpand Up@@ -150,10 +148,6 @@ Global
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Debug|Any CPU.Build.0 = Debug|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.ActiveCfg = Release|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.Build.0 = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.Build.0 = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.ActiveCfg = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.Build.0 = Release|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Release|Any CPU.ActiveCfg = Release|Any CPU
Expand DownExpand Up@@ -218,7 +212,6 @@ Global
{2F636A2C-062C-49F4-85F3-60DCADAB6A43} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{64BC22D3-1E76-41EF-94D8-C79E471FF2DD} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{6B047E09-39C9-4583-96F3-685D84CA4117} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{3769FCC3-9AFF-4C37-97E9-6854324681DF} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{B7B593C5-FB8C-4ADA-A638-5B53B47D087E} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -15,7 +15,6 @@
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
<ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
<ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
<ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />
<ProjectReference Include="..\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" />
Expand Down
6 changes: 0 additions & 6 deletions src/Microsoft.ML.Core/Utilities/DoubleParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -433,12 +433,6 @@ public static bool TryParse(out Double value, string s, int ichMin, int ichLim,
if (FloatUtils.GetBits(x) != 0 || FloatUtils.GetBits(value) != TopBit || !neg)
{
System.Diagnostics.Debug.WriteLine("*** FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value));
//if (!_failed)
//{
// // REVIEW: Double.Parse gets several things wrong, like mapping 148e-325 to 0x2 instead of 0x3.
// _failed = true;
// Contracts.Assert(false, string.Format("FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value)));
//}
}
}
#endif
Expand Down
4 changes: 0 additions & 4 deletions src/Microsoft.ML.Core/Utilities/MathUtils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -258,10 +258,6 @@ public static Float SoftMax(Float[] inputs, int count)
if (count == 1)
return max;

//else if (leng == 2) {
// return SoftMax(inputs[0], inputs[1]);
//}

double intermediate = 0.0;
Float cutoff = max - LogTolerance;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/DataLoadSave/Text/TextLoaderParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -137,9 +137,9 @@ private sealed class ParseStats
private volatile int _cref;

// Total number of rows, number of unparsable values, number of format errors.
private /*volatile*/ long _rowCount;
private /*volatile*/ long _badCount;
private /*volatile*/ long _fmtCount;
private long _rowCount;
private long _badCount;
private long _fmtCount;

public ParseStats(IChannelProvider provider, int cref, long maxShow = MaxShow)
{
Expand Down
9 changes: 0 additions & 9 deletions src/Microsoft.ML.FastTree/Application/LogLossApplication.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -107,15 +107,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

_gradient[d1] += delta;
_gradient[d2] -= delta;
/*
double labelDiff = (labels[d1] - labels[d2]);
double margin = labelDiff * (_scores[d1] - _scores[d2]);
if (_coef - margin > 0)
{
_gradient[d1] += 0.01 * labelDiff;
_gradient[d2] -= 0.01 * labelDiff;
}
*/
}
}
}
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -120,7 +120,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

double inverseMaxDCG = _inverseMaxDCGT[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = Labels;
Expand Down
30 changes: 1 addition & 29 deletions src/Microsoft.ML.FastTree/Dataset/FeatureFlock.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -698,20 +698,6 @@ public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTr
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/

sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand DownExpand Up@@ -933,21 +919,7 @@ public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressio
{
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/


sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand Down
3 changes: 0 additions & 3 deletions src/Microsoft.ML.FastTree/Dataset/SegmentIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -168,11 +168,8 @@ public static void StatsOfBestEncoding(uint[] ivalues, int bitsForMaxItem, bool

max = 0;
bits = TransitionCost;
//IEnumerator<int> ienum = ivalues.GetEnumerator();
//while (ienum.MoveNext())
for (int i = 0; i < ivalues.Length; ++i)
{
//uint val = (uint)ienum.Current;
uint val = (uint)ivalues[i];
if (val > max)
max = val;
Expand Down
5 changes: 0 additions & 5 deletions src/Microsoft.ML.FastTree/Dataset/SparseIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -546,13 +546,9 @@ public unsafe int this[int virtualIndex]
{
get
{
//if (virtualIndex < _index) throw new Exception("Index must move forward");

if (virtualIndex < _nextIndex)
return 0;

//if (virtualIndex >= _array._length) throw new IndexOutOfRangeException();

if (virtualIndex == _nextIndex)
return _array._values[_pos];

Expand All@@ -561,7 +557,6 @@ public unsafe int this[int virtualIndex]
{
while (_pos < _array._values.Length)
{
//_index = _nextIndex;
_nextIndex += pDeltas[_pos];
if (virtualIndex < _nextIndex)
return 0;
Expand Down
2 changes: 0 additions & 2 deletions src/Microsoft.ML.FastTree/FastTreeRanking.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -579,7 +579,6 @@ private void SetupSecondaryGains(Arguments args)
_secondaryMetricShare = 0.0;
return;
}
//for (int i = 0; i < _secondaryGains.Length; ++i) _secondaryGains[i] *= cmd.secondaryMetricShare;
_secondaryInverseMaxDCGT = DCGCalculator.MaxDCG(_secondaryGains, Dataset.Boundaries,
new int[] { args.lambdaMartMaxTruncation })[0].Select(d => 1.0 / d).ToArray();
}
Expand DownExpand Up@@ -726,7 +725,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)
double inverseMaxDcg = _inverseMaxDcgt[query];
double secondaryInverseMaxDcg = _secondaryMetricShare == 0 ? 0.0 : _secondaryInverseMaxDcgt[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = _labels;
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,7 +12,6 @@
<ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
<ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
</ItemGroup>

<ItemGroup>
Expand Down
2 changes: 1 addition & 1 deletion src/Microsoft.ML.FastTree/Training/ScoreTracker.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -53,7 +53,7 @@ public void Initialize(ScoreTracker scores1, RegressionTree tree, DocumentPartit
}

//InitScores -initScores can be null in such case the scores are reinitialized to Zero
private void InitializeScores(double[] initScores /* = null */)
private void InitializeScores(double[] initScores)
{
if (initScores == null)
{
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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7 changes: 0 additions & 7 deletions Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,8 +36,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TestFramework", "test\Microsoft.ML.TestFramework\Microsoft.ML.TestFramework.csproj", "{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.InternalStreams", "src\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj", "{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}"

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🎆 🍾 😆 Good riddance!!

EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Predictor.Tests", "test\Microsoft.ML.Predictor.Tests\Microsoft.ML.Predictor.Tests.csproj", "{6B047E09-39C9-4583-96F3-685D84CA4117}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ResultProcessor", "src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj", "{3769FCC3-9AFF-4C37-97E9-6854324681DF}"
Expand DownExpand Up@@ -150,10 +148,6 @@ Global
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Debug|Any CPU.Build.0 = Debug|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.ActiveCfg = Release|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.Build.0 = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.Build.0 = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.ActiveCfg = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.Build.0 = Release|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Release|Any CPU.ActiveCfg = Release|Any CPU
Expand DownExpand Up@@ -218,7 +212,6 @@ Global
{2F636A2C-062C-49F4-85F3-60DCADAB6A43} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{64BC22D3-1E76-41EF-94D8-C79E471FF2DD} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{6B047E09-39C9-4583-96F3-685D84CA4117} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{3769FCC3-9AFF-4C37-97E9-6854324681DF} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{B7B593C5-FB8C-4ADA-A638-5B53B47D087E} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -15,7 +15,6 @@
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
<ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
<ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
<ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />
<ProjectReference Include="..\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" />
Expand Down
6 changes: 0 additions & 6 deletions src/Microsoft.ML.Core/Utilities/DoubleParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -433,12 +433,6 @@ public static bool TryParse(out Double value, string s, int ichMin, int ichLim,
if (FloatUtils.GetBits(x) != 0 || FloatUtils.GetBits(value) != TopBit || !neg)
{
System.Diagnostics.Debug.WriteLine("*** FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value));
//if (!_failed)
//{
// // REVIEW: Double.Parse gets several things wrong, like mapping 148e-325 to 0x2 instead of 0x3.
// _failed = true;
// Contracts.Assert(false, string.Format("FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value)));
//}
}
}
#endif
Expand Down
4 changes: 0 additions & 4 deletions src/Microsoft.ML.Core/Utilities/MathUtils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -258,10 +258,6 @@ public static Float SoftMax(Float[] inputs, int count)
if (count == 1)
return max;

//else if (leng == 2) {
// return SoftMax(inputs[0], inputs[1]);
//}

double intermediate = 0.0;
Float cutoff = max - LogTolerance;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/DataLoadSave/Text/TextLoaderParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -137,9 +137,9 @@ private sealed class ParseStats
private volatile int _cref;

// Total number of rows, number of unparsable values, number of format errors.
private /*volatile*/ long _rowCount;
private /*volatile*/ long _badCount;
private /*volatile*/ long _fmtCount;
private long _rowCount;
private long _badCount;
private long _fmtCount;

public ParseStats(IChannelProvider provider, int cref, long maxShow = MaxShow)
{
Expand Down
9 changes: 0 additions & 9 deletions src/Microsoft.ML.FastTree/Application/LogLossApplication.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -107,15 +107,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

_gradient[d1] += delta;
_gradient[d2] -= delta;
/*
double labelDiff = (labels[d1] - labels[d2]);
double margin = labelDiff * (_scores[d1] - _scores[d2]);
if (_coef - margin > 0)
{
_gradient[d1] += 0.01 * labelDiff;
_gradient[d2] -= 0.01 * labelDiff;
}
*/
}
}
}
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -120,7 +120,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

double inverseMaxDCG = _inverseMaxDCGT[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = Labels;
Expand Down
30 changes: 1 addition & 29 deletions src/Microsoft.ML.FastTree/Dataset/FeatureFlock.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -698,20 +698,6 @@ public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTr
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/

sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand DownExpand Up@@ -933,21 +919,7 @@ public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressio
{
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/


sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand Down
3 changes: 0 additions & 3 deletions src/Microsoft.ML.FastTree/Dataset/SegmentIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -168,11 +168,8 @@ public static void StatsOfBestEncoding(uint[] ivalues, int bitsForMaxItem, bool

max = 0;
bits = TransitionCost;
//IEnumerator<int> ienum = ivalues.GetEnumerator();
//while (ienum.MoveNext())
for (int i = 0; i < ivalues.Length; ++i)
{
//uint val = (uint)ienum.Current;
uint val = (uint)ivalues[i];
if (val > max)
max = val;
Expand Down
5 changes: 0 additions & 5 deletions src/Microsoft.ML.FastTree/Dataset/SparseIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -546,13 +546,9 @@ public unsafe int this[int virtualIndex]
{
get
{
//if (virtualIndex < _index) throw new Exception("Index must move forward");

if (virtualIndex < _nextIndex)
return 0;

//if (virtualIndex >= _array._length) throw new IndexOutOfRangeException();

if (virtualIndex == _nextIndex)
return _array._values[_pos];

Expand All@@ -561,7 +557,6 @@ public unsafe int this[int virtualIndex]
{
while (_pos < _array._values.Length)
{
//_index = _nextIndex;
_nextIndex += pDeltas[_pos];
if (virtualIndex < _nextIndex)
return 0;
Expand Down
2 changes: 0 additions & 2 deletions src/Microsoft.ML.FastTree/FastTreeRanking.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -579,7 +579,6 @@ private void SetupSecondaryGains(Arguments args)
_secondaryMetricShare = 0.0;
return;
}
//for (int i = 0; i < _secondaryGains.Length; ++i) _secondaryGains[i] *= cmd.secondaryMetricShare;
_secondaryInverseMaxDCGT = DCGCalculator.MaxDCG(_secondaryGains, Dataset.Boundaries,
new int[] { args.lambdaMartMaxTruncation })[0].Select(d => 1.0 / d).ToArray();
}
Expand DownExpand Up@@ -726,7 +725,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)
double inverseMaxDcg = _inverseMaxDcgt[query];
double secondaryInverseMaxDcg = _secondaryMetricShare == 0 ? 0.0 : _secondaryInverseMaxDcgt[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = _labels;
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,7 +12,6 @@
<ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
<ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
</ItemGroup>

<ItemGroup>
Expand Down
2 changes: 1 addition & 1 deletion src/Microsoft.ML.FastTree/Training/ScoreTracker.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -53,7 +53,7 @@ public void Initialize(ScoreTracker scores1, RegressionTree tree, DocumentPartit
}

//InitScores -initScores can be null in such case the scores are reinitialized to Zero
private void InitializeScores(double[] initScores /* = null */)
private void InitializeScores(double[] initScores)
{
if (initScores == null)
{
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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7 changes: 0 additions & 7 deletions Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,8 +36,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TestFramework", "test\Microsoft.ML.TestFramework\Microsoft.ML.TestFramework.csproj", "{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.InternalStreams", "src\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj", "{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}"

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🎆 🍾 😆 Good riddance!!

EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Predictor.Tests", "test\Microsoft.ML.Predictor.Tests\Microsoft.ML.Predictor.Tests.csproj", "{6B047E09-39C9-4583-96F3-685D84CA4117}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ResultProcessor", "src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj", "{3769FCC3-9AFF-4C37-97E9-6854324681DF}"
Expand DownExpand Up@@ -150,10 +148,6 @@ Global
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Debug|Any CPU.Build.0 = Debug|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.ActiveCfg = Release|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.Build.0 = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.Build.0 = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.ActiveCfg = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.Build.0 = Release|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Release|Any CPU.ActiveCfg = Release|Any CPU
Expand DownExpand Up@@ -218,7 +212,6 @@ Global
{2F636A2C-062C-49F4-85F3-60DCADAB6A43} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{64BC22D3-1E76-41EF-94D8-C79E471FF2DD} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{6B047E09-39C9-4583-96F3-685D84CA4117} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{3769FCC3-9AFF-4C37-97E9-6854324681DF} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{B7B593C5-FB8C-4ADA-A638-5B53B47D087E} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -15,7 +15,6 @@
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
<ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
<ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
<ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />
<ProjectReference Include="..\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" />
Expand Down
6 changes: 0 additions & 6 deletions src/Microsoft.ML.Core/Utilities/DoubleParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -433,12 +433,6 @@ public static bool TryParse(out Double value, string s, int ichMin, int ichLim,
if (FloatUtils.GetBits(x) != 0 || FloatUtils.GetBits(value) != TopBit || !neg)
{
System.Diagnostics.Debug.WriteLine("*** FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value));
//if (!_failed)
//{
// // REVIEW: Double.Parse gets several things wrong, like mapping 148e-325 to 0x2 instead of 0x3.
// _failed = true;
// Contracts.Assert(false, string.Format("FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value)));
//}
}
}
#endif
Expand Down
4 changes: 0 additions & 4 deletions src/Microsoft.ML.Core/Utilities/MathUtils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -258,10 +258,6 @@ public static Float SoftMax(Float[] inputs, int count)
if (count == 1)
return max;

//else if (leng == 2) {
// return SoftMax(inputs[0], inputs[1]);
//}

double intermediate = 0.0;
Float cutoff = max - LogTolerance;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/DataLoadSave/Text/TextLoaderParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -137,9 +137,9 @@ private sealed class ParseStats
private volatile int _cref;

// Total number of rows, number of unparsable values, number of format errors.
private /*volatile*/ long _rowCount;
private /*volatile*/ long _badCount;
private /*volatile*/ long _fmtCount;
private long _rowCount;
private long _badCount;
private long _fmtCount;

public ParseStats(IChannelProvider provider, int cref, long maxShow = MaxShow)
{
Expand Down
9 changes: 0 additions & 9 deletions src/Microsoft.ML.FastTree/Application/LogLossApplication.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -107,15 +107,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

_gradient[d1] += delta;
_gradient[d2] -= delta;
/*
double labelDiff = (labels[d1] - labels[d2]);
double margin = labelDiff * (_scores[d1] - _scores[d2]);
if (_coef - margin > 0)
{
_gradient[d1] += 0.01 * labelDiff;
_gradient[d2] -= 0.01 * labelDiff;
}
*/
}
}
}
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -120,7 +120,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

double inverseMaxDCG = _inverseMaxDCGT[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = Labels;
Expand Down
30 changes: 1 addition & 29 deletions src/Microsoft.ML.FastTree/Dataset/FeatureFlock.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -698,20 +698,6 @@ public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTr
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/

sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand DownExpand Up@@ -933,21 +919,7 @@ public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressio
{
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/


sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand Down
3 changes: 0 additions & 3 deletions src/Microsoft.ML.FastTree/Dataset/SegmentIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -168,11 +168,8 @@ public static void StatsOfBestEncoding(uint[] ivalues, int bitsForMaxItem, bool

max = 0;
bits = TransitionCost;
//IEnumerator<int> ienum = ivalues.GetEnumerator();
//while (ienum.MoveNext())
for (int i = 0; i < ivalues.Length; ++i)
{
//uint val = (uint)ienum.Current;
uint val = (uint)ivalues[i];
if (val > max)
max = val;
Expand Down
5 changes: 0 additions & 5 deletions src/Microsoft.ML.FastTree/Dataset/SparseIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -546,13 +546,9 @@ public unsafe int this[int virtualIndex]
{
get
{
//if (virtualIndex < _index) throw new Exception("Index must move forward");

if (virtualIndex < _nextIndex)
return 0;

//if (virtualIndex >= _array._length) throw new IndexOutOfRangeException();

if (virtualIndex == _nextIndex)
return _array._values[_pos];

Expand All@@ -561,7 +557,6 @@ public unsafe int this[int virtualIndex]
{
while (_pos < _array._values.Length)
{
//_index = _nextIndex;
_nextIndex += pDeltas[_pos];
if (virtualIndex < _nextIndex)
return 0;
Expand Down
2 changes: 0 additions & 2 deletions src/Microsoft.ML.FastTree/FastTreeRanking.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -579,7 +579,6 @@ private void SetupSecondaryGains(Arguments args)
_secondaryMetricShare = 0.0;
return;
}
//for (int i = 0; i < _secondaryGains.Length; ++i) _secondaryGains[i] *= cmd.secondaryMetricShare;
_secondaryInverseMaxDCGT = DCGCalculator.MaxDCG(_secondaryGains, Dataset.Boundaries,
new int[] { args.lambdaMartMaxTruncation })[0].Select(d => 1.0 / d).ToArray();
}
Expand DownExpand Up@@ -726,7 +725,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)
double inverseMaxDcg = _inverseMaxDcgt[query];
double secondaryInverseMaxDcg = _secondaryMetricShare == 0 ? 0.0 : _secondaryInverseMaxDcgt[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = _labels;
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,7 +12,6 @@
<ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
<ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
</ItemGroup>

<ItemGroup>
Expand Down
2 changes: 1 addition & 1 deletion src/Microsoft.ML.FastTree/Training/ScoreTracker.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -53,7 +53,7 @@ public void Initialize(ScoreTracker scores1, RegressionTree tree, DocumentPartit
}

//InitScores -initScores can be null in such case the scores are reinitialized to Zero
private void InitializeScores(double[] initScores /* = null */)
private void InitializeScores(double[] initScores)
{
if (initScores == null)
{
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
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7 changes: 0 additions & 7 deletions Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,8 +36,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TestFramework", "test\Microsoft.ML.TestFramework\Microsoft.ML.TestFramework.csproj", "{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.InternalStreams", "src\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj", "{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}"

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🎆 🍾 😆 Good riddance!!

EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Predictor.Tests", "test\Microsoft.ML.Predictor.Tests\Microsoft.ML.Predictor.Tests.csproj", "{6B047E09-39C9-4583-96F3-685D84CA4117}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ResultProcessor", "src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj", "{3769FCC3-9AFF-4C37-97E9-6854324681DF}"
Expand DownExpand Up@@ -150,10 +148,6 @@ Global
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Debug|Any CPU.Build.0 = Debug|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.ActiveCfg = Release|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.Build.0 = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.Build.0 = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.ActiveCfg = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.Build.0 = Release|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Release|Any CPU.ActiveCfg = Release|Any CPU
Expand DownExpand Up@@ -218,7 +212,6 @@ Global
{2F636A2C-062C-49F4-85F3-60DCADAB6A43} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{64BC22D3-1E76-41EF-94D8-C79E471FF2DD} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{6B047E09-39C9-4583-96F3-685D84CA4117} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{3769FCC3-9AFF-4C37-97E9-6854324681DF} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{B7B593C5-FB8C-4ADA-A638-5B53B47D087E} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -15,7 +15,6 @@
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
<ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
<ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
<ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />
<ProjectReference Include="..\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" />
Expand Down
6 changes: 0 additions & 6 deletions src/Microsoft.ML.Core/Utilities/DoubleParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -433,12 +433,6 @@ public static bool TryParse(out Double value, string s, int ichMin, int ichLim,
if (FloatUtils.GetBits(x) != 0 || FloatUtils.GetBits(value) != TopBit || !neg)
{
System.Diagnostics.Debug.WriteLine("*** FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value));
//if (!_failed)
//{
// // REVIEW: Double.Parse gets several things wrong, like mapping 148e-325 to 0x2 instead of 0x3.
// _failed = true;
// Contracts.Assert(false, string.Format("FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value)));
//}
}
}
#endif
Expand Down
4 changes: 0 additions & 4 deletions src/Microsoft.ML.Core/Utilities/MathUtils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -258,10 +258,6 @@ public static Float SoftMax(Float[] inputs, int count)
if (count == 1)
return max;

//else if (leng == 2) {
// return SoftMax(inputs[0], inputs[1]);
//}

double intermediate = 0.0;
Float cutoff = max - LogTolerance;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/DataLoadSave/Text/TextLoaderParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -137,9 +137,9 @@ private sealed class ParseStats
private volatile int _cref;

// Total number of rows, number of unparsable values, number of format errors.
private /*volatile*/ long _rowCount;
private /*volatile*/ long _badCount;
private /*volatile*/ long _fmtCount;
private long _rowCount;
private long _badCount;
private long _fmtCount;

public ParseStats(IChannelProvider provider, int cref, long maxShow = MaxShow)
{
Expand Down
9 changes: 0 additions & 9 deletions src/Microsoft.ML.FastTree/Application/LogLossApplication.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -107,15 +107,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

_gradient[d1] += delta;
_gradient[d2] -= delta;
/*
double labelDiff = (labels[d1] - labels[d2]);
double margin = labelDiff * (_scores[d1] - _scores[d2]);
if (_coef - margin > 0)
{
_gradient[d1] += 0.01 * labelDiff;
_gradient[d2] -= 0.01 * labelDiff;
}
*/
}
}
}
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -120,7 +120,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

double inverseMaxDCG = _inverseMaxDCGT[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = Labels;
Expand Down
30 changes: 1 addition & 29 deletions src/Microsoft.ML.FastTree/Dataset/FeatureFlock.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -698,20 +698,6 @@ public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTr
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/

sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand DownExpand Up@@ -933,21 +919,7 @@ public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressio
{
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/


sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand Down
3 changes: 0 additions & 3 deletions src/Microsoft.ML.FastTree/Dataset/SegmentIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -168,11 +168,8 @@ public static void StatsOfBestEncoding(uint[] ivalues, int bitsForMaxItem, bool

max = 0;
bits = TransitionCost;
//IEnumerator<int> ienum = ivalues.GetEnumerator();
//while (ienum.MoveNext())
for (int i = 0; i < ivalues.Length; ++i)
{
//uint val = (uint)ienum.Current;
uint val = (uint)ivalues[i];
if (val > max)
max = val;
Expand Down
5 changes: 0 additions & 5 deletions src/Microsoft.ML.FastTree/Dataset/SparseIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -546,13 +546,9 @@ public unsafe int this[int virtualIndex]
{
get
{
//if (virtualIndex < _index) throw new Exception("Index must move forward");

if (virtualIndex < _nextIndex)
return 0;

//if (virtualIndex >= _array._length) throw new IndexOutOfRangeException();

if (virtualIndex == _nextIndex)
return _array._values[_pos];

Expand All@@ -561,7 +557,6 @@ public unsafe int this[int virtualIndex]
{
while (_pos < _array._values.Length)
{
//_index = _nextIndex;
_nextIndex += pDeltas[_pos];
if (virtualIndex < _nextIndex)
return 0;
Expand Down
2 changes: 0 additions & 2 deletions src/Microsoft.ML.FastTree/FastTreeRanking.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -579,7 +579,6 @@ private void SetupSecondaryGains(Arguments args)
_secondaryMetricShare = 0.0;
return;
}
//for (int i = 0; i < _secondaryGains.Length; ++i) _secondaryGains[i] *= cmd.secondaryMetricShare;
_secondaryInverseMaxDCGT = DCGCalculator.MaxDCG(_secondaryGains, Dataset.Boundaries,
new int[] { args.lambdaMartMaxTruncation })[0].Select(d => 1.0 / d).ToArray();
}
Expand DownExpand Up@@ -726,7 +725,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)
double inverseMaxDcg = _inverseMaxDcgt[query];
double secondaryInverseMaxDcg = _secondaryMetricShare == 0 ? 0.0 : _secondaryInverseMaxDcgt[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = _labels;
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,7 +12,6 @@
<ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
<ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
</ItemGroup>

<ItemGroup>
Expand Down
2 changes: 1 addition & 1 deletion src/Microsoft.ML.FastTree/Training/ScoreTracker.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -53,7 +53,7 @@ public void Initialize(ScoreTracker scores1, RegressionTree tree, DocumentPartit
}

//InitScores -initScores can be null in such case the scores are reinitialized to Zero
private void InitializeScores(double[] initScores /* = null */)
private void InitializeScores(double[] initScores)
{
if (initScores == null)
{
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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7 changes: 0 additions & 7 deletions Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,8 +36,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TestFramework", "test\Microsoft.ML.TestFramework\Microsoft.ML.TestFramework.csproj", "{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.InternalStreams", "src\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj", "{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}"

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🎆 🍾 😆 Good riddance!!

EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Predictor.Tests", "test\Microsoft.ML.Predictor.Tests\Microsoft.ML.Predictor.Tests.csproj", "{6B047E09-39C9-4583-96F3-685D84CA4117}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ResultProcessor", "src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj", "{3769FCC3-9AFF-4C37-97E9-6854324681DF}"
Expand DownExpand Up@@ -150,10 +148,6 @@ Global
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Debug|Any CPU.Build.0 = Debug|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.ActiveCfg = Release|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.Build.0 = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.Build.0 = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.ActiveCfg = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.Build.0 = Release|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Release|Any CPU.ActiveCfg = Release|Any CPU
Expand DownExpand Up@@ -218,7 +212,6 @@ Global
{2F636A2C-062C-49F4-85F3-60DCADAB6A43} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{64BC22D3-1E76-41EF-94D8-C79E471FF2DD} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{6B047E09-39C9-4583-96F3-685D84CA4117} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{3769FCC3-9AFF-4C37-97E9-6854324681DF} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{B7B593C5-FB8C-4ADA-A638-5B53B47D087E} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -15,7 +15,6 @@
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
<ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
<ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
<ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />
<ProjectReference Include="..\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" />
Expand Down
6 changes: 0 additions & 6 deletions src/Microsoft.ML.Core/Utilities/DoubleParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -433,12 +433,6 @@ public static bool TryParse(out Double value, string s, int ichMin, int ichLim,
if (FloatUtils.GetBits(x) != 0 || FloatUtils.GetBits(value) != TopBit || !neg)
{
System.Diagnostics.Debug.WriteLine("*** FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value));
//if (!_failed)
//{
// // REVIEW: Double.Parse gets several things wrong, like mapping 148e-325 to 0x2 instead of 0x3.
// _failed = true;
// Contracts.Assert(false, string.Format("FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value)));
//}
}
}
#endif
Expand Down
4 changes: 0 additions & 4 deletions src/Microsoft.ML.Core/Utilities/MathUtils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -258,10 +258,6 @@ public static Float SoftMax(Float[] inputs, int count)
if (count == 1)
return max;

//else if (leng == 2) {
// return SoftMax(inputs[0], inputs[1]);
//}

double intermediate = 0.0;
Float cutoff = max - LogTolerance;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/DataLoadSave/Text/TextLoaderParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -137,9 +137,9 @@ private sealed class ParseStats
private volatile int _cref;

// Total number of rows, number of unparsable values, number of format errors.
private /*volatile*/ long _rowCount;
private /*volatile*/ long _badCount;
private /*volatile*/ long _fmtCount;
private long _rowCount;
private long _badCount;
private long _fmtCount;

public ParseStats(IChannelProvider provider, int cref, long maxShow = MaxShow)
{
Expand Down
9 changes: 0 additions & 9 deletions src/Microsoft.ML.FastTree/Application/LogLossApplication.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -107,15 +107,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

_gradient[d1] += delta;
_gradient[d2] -= delta;
/*
double labelDiff = (labels[d1] - labels[d2]);
double margin = labelDiff * (_scores[d1] - _scores[d2]);
if (_coef - margin > 0)
{
_gradient[d1] += 0.01 * labelDiff;
_gradient[d2] -= 0.01 * labelDiff;
}
*/
}
}
}
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -120,7 +120,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

double inverseMaxDCG = _inverseMaxDCGT[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = Labels;
Expand Down
30 changes: 1 addition & 29 deletions src/Microsoft.ML.FastTree/Dataset/FeatureFlock.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -698,20 +698,6 @@ public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTr
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/

sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand DownExpand Up@@ -933,21 +919,7 @@ public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressio
{
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/


sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand Down
3 changes: 0 additions & 3 deletions src/Microsoft.ML.FastTree/Dataset/SegmentIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -168,11 +168,8 @@ public static void StatsOfBestEncoding(uint[] ivalues, int bitsForMaxItem, bool

max = 0;
bits = TransitionCost;
//IEnumerator<int> ienum = ivalues.GetEnumerator();
//while (ienum.MoveNext())
for (int i = 0; i < ivalues.Length; ++i)
{
//uint val = (uint)ienum.Current;
uint val = (uint)ivalues[i];
if (val > max)
max = val;
Expand Down
5 changes: 0 additions & 5 deletions src/Microsoft.ML.FastTree/Dataset/SparseIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -546,13 +546,9 @@ public unsafe int this[int virtualIndex]
{
get
{
//if (virtualIndex < _index) throw new Exception("Index must move forward");

if (virtualIndex < _nextIndex)
return 0;

//if (virtualIndex >= _array._length) throw new IndexOutOfRangeException();

if (virtualIndex == _nextIndex)
return _array._values[_pos];

Expand All@@ -561,7 +557,6 @@ public unsafe int this[int virtualIndex]
{
while (_pos < _array._values.Length)
{
//_index = _nextIndex;
_nextIndex += pDeltas[_pos];
if (virtualIndex < _nextIndex)
return 0;
Expand Down
2 changes: 0 additions & 2 deletions src/Microsoft.ML.FastTree/FastTreeRanking.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -579,7 +579,6 @@ private void SetupSecondaryGains(Arguments args)
_secondaryMetricShare = 0.0;
return;
}
//for (int i = 0; i < _secondaryGains.Length; ++i) _secondaryGains[i] *= cmd.secondaryMetricShare;
_secondaryInverseMaxDCGT = DCGCalculator.MaxDCG(_secondaryGains, Dataset.Boundaries,
new int[] { args.lambdaMartMaxTruncation })[0].Select(d => 1.0 / d).ToArray();
}
Expand DownExpand Up@@ -726,7 +725,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)
double inverseMaxDcg = _inverseMaxDcgt[query];
double secondaryInverseMaxDcg = _secondaryMetricShare == 0 ? 0.0 : _secondaryInverseMaxDcgt[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = _labels;
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,7 +12,6 @@
<ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
<ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
</ItemGroup>

<ItemGroup>
Expand Down
2 changes: 1 addition & 1 deletion src/Microsoft.ML.FastTree/Training/ScoreTracker.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -53,7 +53,7 @@ public void Initialize(ScoreTracker scores1, RegressionTree tree, DocumentPartit
}

//InitScores -initScores can be null in such case the scores are reinitialized to Zero
private void InitializeScores(double[] initScores /* = null */)
private void InitializeScores(double[] initScores)
{
if (initScores == null)
{
Expand Down
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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7 changes: 0 additions & 7 deletions Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,8 +36,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TestFramework", "test\Microsoft.ML.TestFramework\Microsoft.ML.TestFramework.csproj", "{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.InternalStreams", "src\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj", "{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}"

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🎆 🍾 😆 Good riddance!!

EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Predictor.Tests", "test\Microsoft.ML.Predictor.Tests\Microsoft.ML.Predictor.Tests.csproj", "{6B047E09-39C9-4583-96F3-685D84CA4117}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ResultProcessor", "src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj", "{3769FCC3-9AFF-4C37-97E9-6854324681DF}"
Expand DownExpand Up@@ -150,10 +148,6 @@ Global
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Debug|Any CPU.Build.0 = Debug|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.ActiveCfg = Release|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.Build.0 = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.Build.0 = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.ActiveCfg = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.Build.0 = Release|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Release|Any CPU.ActiveCfg = Release|Any CPU
Expand DownExpand Up@@ -218,7 +212,6 @@ Global
{2F636A2C-062C-49F4-85F3-60DCADAB6A43} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{64BC22D3-1E76-41EF-94D8-C79E471FF2DD} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{6B047E09-39C9-4583-96F3-685D84CA4117} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{3769FCC3-9AFF-4C37-97E9-6854324681DF} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{B7B593C5-FB8C-4ADA-A638-5B53B47D087E} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -15,7 +15,6 @@
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
<ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
<ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
<ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />
<ProjectReference Include="..\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" />
Expand Down
6 changes: 0 additions & 6 deletions src/Microsoft.ML.Core/Utilities/DoubleParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -433,12 +433,6 @@ public static bool TryParse(out Double value, string s, int ichMin, int ichLim,
if (FloatUtils.GetBits(x) != 0 || FloatUtils.GetBits(value) != TopBit || !neg)
{
System.Diagnostics.Debug.WriteLine("*** FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value));
//if (!_failed)
//{
// // REVIEW: Double.Parse gets several things wrong, like mapping 148e-325 to 0x2 instead of 0x3.
// _failed = true;
// Contracts.Assert(false, string.Format("FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value)));
//}
}
}
#endif
Expand Down
4 changes: 0 additions & 4 deletions src/Microsoft.ML.Core/Utilities/MathUtils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -258,10 +258,6 @@ public static Float SoftMax(Float[] inputs, int count)
if (count == 1)
return max;

//else if (leng == 2) {
// return SoftMax(inputs[0], inputs[1]);
//}

double intermediate = 0.0;
Float cutoff = max - LogTolerance;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/DataLoadSave/Text/TextLoaderParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -137,9 +137,9 @@ private sealed class ParseStats
private volatile int _cref;

// Total number of rows, number of unparsable values, number of format errors.
private /*volatile*/ long _rowCount;
private /*volatile*/ long _badCount;
private /*volatile*/ long _fmtCount;
private long _rowCount;
private long _badCount;
private long _fmtCount;

public ParseStats(IChannelProvider provider, int cref, long maxShow = MaxShow)
{
Expand Down
9 changes: 0 additions & 9 deletions src/Microsoft.ML.FastTree/Application/LogLossApplication.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -107,15 +107,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

_gradient[d1] += delta;
_gradient[d2] -= delta;
/*
double labelDiff = (labels[d1] - labels[d2]);
double margin = labelDiff * (_scores[d1] - _scores[d2]);
if (_coef - margin > 0)
{
_gradient[d1] += 0.01 * labelDiff;
_gradient[d2] -= 0.01 * labelDiff;
}
*/
}
}
}
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -120,7 +120,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

double inverseMaxDCG = _inverseMaxDCGT[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = Labels;
Expand Down
30 changes: 1 addition & 29 deletions src/Microsoft.ML.FastTree/Dataset/FeatureFlock.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -698,20 +698,6 @@ public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTr
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/

sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand DownExpand Up@@ -933,21 +919,7 @@ public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressio
{
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/


sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand Down
3 changes: 0 additions & 3 deletions src/Microsoft.ML.FastTree/Dataset/SegmentIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -168,11 +168,8 @@ public static void StatsOfBestEncoding(uint[] ivalues, int bitsForMaxItem, bool

max = 0;
bits = TransitionCost;
//IEnumerator<int> ienum = ivalues.GetEnumerator();
//while (ienum.MoveNext())
for (int i = 0; i < ivalues.Length; ++i)
{
//uint val = (uint)ienum.Current;
uint val = (uint)ivalues[i];
if (val > max)
max = val;
Expand Down
5 changes: 0 additions & 5 deletions src/Microsoft.ML.FastTree/Dataset/SparseIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -546,13 +546,9 @@ public unsafe int this[int virtualIndex]
{
get
{
//if (virtualIndex < _index) throw new Exception("Index must move forward");

if (virtualIndex < _nextIndex)
return 0;

//if (virtualIndex >= _array._length) throw new IndexOutOfRangeException();

if (virtualIndex == _nextIndex)
return _array._values[_pos];

Expand All@@ -561,7 +557,6 @@ public unsafe int this[int virtualIndex]
{
while (_pos < _array._values.Length)
{
//_index = _nextIndex;
_nextIndex += pDeltas[_pos];
if (virtualIndex < _nextIndex)
return 0;
Expand Down
2 changes: 0 additions & 2 deletions src/Microsoft.ML.FastTree/FastTreeRanking.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -579,7 +579,6 @@ private void SetupSecondaryGains(Arguments args)
_secondaryMetricShare = 0.0;
return;
}
//for (int i = 0; i < _secondaryGains.Length; ++i) _secondaryGains[i] *= cmd.secondaryMetricShare;
_secondaryInverseMaxDCGT = DCGCalculator.MaxDCG(_secondaryGains, Dataset.Boundaries,
new int[] { args.lambdaMartMaxTruncation })[0].Select(d => 1.0 / d).ToArray();
}
Expand DownExpand Up@@ -726,7 +725,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)
double inverseMaxDcg = _inverseMaxDcgt[query];
double secondaryInverseMaxDcg = _secondaryMetricShare == 0 ? 0.0 : _secondaryInverseMaxDcgt[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = _labels;
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,7 +12,6 @@
<ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
<ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
</ItemGroup>

<ItemGroup>
Expand Down
2 changes: 1 addition & 1 deletion src/Microsoft.ML.FastTree/Training/ScoreTracker.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -53,7 +53,7 @@ public void Initialize(ScoreTracker scores1, RegressionTree tree, DocumentPartit
}

//InitScores -initScores can be null in such case the scores are reinitialized to Zero
private void InitializeScores(double[] initScores /* = null */)
private void InitializeScores(double[] initScores)
{
if (initScores == null)
{
Expand Down
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
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7 changes: 0 additions & 7 deletions Microsoft.ML.sln
Original file line numberDiff line numberDiff line change
Expand Up@@ -36,8 +36,6 @@ Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Tests", "test\
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.TestFramework", "test\Microsoft.ML.TestFramework\Microsoft.ML.TestFramework.csproj", "{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.InternalStreams", "src\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj", "{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}"

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🎆 🍾 😆 Good riddance!!

EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.Predictor.Tests", "test\Microsoft.ML.Predictor.Tests\Microsoft.ML.Predictor.Tests.csproj", "{6B047E09-39C9-4583-96F3-685D84CA4117}"
EndProject
Project("{9A19103F-16F7-4668-BE54-9A1E7A4F7556}") = "Microsoft.ML.ResultProcessor", "src\Microsoft.ML.ResultProcessor\Microsoft.ML.ResultProcessor.csproj", "{3769FCC3-9AFF-4C37-97E9-6854324681DF}"
Expand DownExpand Up@@ -150,10 +148,6 @@ Global
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Debug|Any CPU.Build.0 = Debug|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.ActiveCfg = Release|Any CPU
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2}.Release|Any CPU.Build.0 = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Debug|Any CPU.Build.0 = Debug|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.ActiveCfg = Release|Any CPU
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9}.Release|Any CPU.Build.0 = Release|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.ActiveCfg = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Debug|Any CPU.Build.0 = Debug|Any CPU
{6B047E09-39C9-4583-96F3-685D84CA4117}.Release|Any CPU.ActiveCfg = Release|Any CPU
Expand DownExpand Up@@ -218,7 +212,6 @@ Global
{2F636A2C-062C-49F4-85F3-60DCADAB6A43} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{64BC22D3-1E76-41EF-94D8-C79E471FF2DD} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{B5989C06-4FFA-46C1-9D85-9366B34AB0A2} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{C4F7938F-7109-43C8-92A5-9BE47C7FF7D9} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{6B047E09-39C9-4583-96F3-685D84CA4117} = {AED9C836-31E3-4F3F-8ABC-929555D3F3C4}
{3769FCC3-9AFF-4C37-97E9-6854324681DF} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
{B7B593C5-FB8C-4ADA-A638-5B53B47D087E} = {09EADF06-BE25-4228-AB53-95AE3E15B530}
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.Console/Microsoft.ML.Console.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -15,7 +15,6 @@
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.Ensemble\Microsoft.ML.Ensemble.csproj" />
<ProjectReference Include="..\Microsoft.ML.FastTree\Microsoft.ML.FastTree.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
<ProjectReference Include="..\Microsoft.ML.KMeansClustering\Microsoft.ML.KMeansClustering.csproj" />
<ProjectReference Include="..\Microsoft.ML.LightGBM\Microsoft.ML.LightGBM.csproj" />
<ProjectReference Include="..\Microsoft.ML.Maml\Microsoft.ML.Maml.csproj" />
Expand Down
6 changes: 0 additions & 6 deletions src/Microsoft.ML.Core/Utilities/DoubleParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -433,12 +433,6 @@ public static bool TryParse(out Double value, string s, int ichMin, int ichLim,
if (FloatUtils.GetBits(x) != 0 || FloatUtils.GetBits(value) != TopBit || !neg)
{
System.Diagnostics.Debug.WriteLine("*** FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value));
//if (!_failed)
//{
// // REVIEW: Double.Parse gets several things wrong, like mapping 148e-325 to 0x2 instead of 0x3.
// _failed = true;
// Contracts.Assert(false, string.Format("FloatParser disagrees with Double.TryParse on: {0} ({1} vs {2})", str, FloatUtils.GetBits(x), FloatUtils.GetBits(value)));
//}
}
}
#endif
Expand Down
4 changes: 0 additions & 4 deletions src/Microsoft.ML.Core/Utilities/MathUtils.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -258,10 +258,6 @@ public static Float SoftMax(Float[] inputs, int count)
if (count == 1)
return max;

//else if (leng == 2) {
// return SoftMax(inputs[0], inputs[1]);
//}

double intermediate = 0.0;
Float cutoff = max - LogTolerance;

Expand Down
6 changes: 3 additions & 3 deletions src/Microsoft.ML.Data/DataLoadSave/Text/TextLoaderParser.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -137,9 +137,9 @@ private sealed class ParseStats
private volatile int _cref;

// Total number of rows, number of unparsable values, number of format errors.
private /*volatile*/ long _rowCount;
private /*volatile*/ long _badCount;
private /*volatile*/ long _fmtCount;
private long _rowCount;
private long _badCount;
private long _fmtCount;

public ParseStats(IChannelProvider provider, int cref, long maxShow = MaxShow)
{
Expand Down
9 changes: 0 additions & 9 deletions src/Microsoft.ML.FastTree/Application/LogLossApplication.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -107,15 +107,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

_gradient[d1] += delta;
_gradient[d2] -= delta;
/*
double labelDiff = (labels[d1] - labels[d2]);
double margin = labelDiff * (_scores[d1] - _scores[d2]);
if (_coef - margin > 0)
{
_gradient[d1] += 0.01 * labelDiff;
_gradient[d2] -= 0.01 * labelDiff;
}
*/
}
}
}
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -120,7 +120,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)

double inverseMaxDCG = _inverseMaxDCGT[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = Labels;
Expand Down
30 changes: 1 addition & 29 deletions src/Microsoft.ML.FastTree/Dataset/FeatureFlock.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -698,20 +698,6 @@ public void FillSplitCandidatesCategoricalLowPopulation(LeastSquaresRegressionTr
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/

sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand DownExpand Up@@ -933,21 +919,7 @@ public void FillSplitCandidatesCategoricalNeighborBundling(LeastSquaresRegressio
{
var binStats = virtualBins[i];
catFeatureCount += 1 + binStats.SubFeatures.Length;

/*int feature = features[i];
int subfeature = feature - featureMin;
Contracts.Assert(0 <= subfeature && subfeature < Flock.Count);
Contracts.Assert(subfeature <= feature);
Contracts.Assert(learner.TrainData.FlockToFirstFeature(flock) == feature - subfeature);
Contracts.Assert(featureUseCount[feature] >= 0);
Contracts.Assert(Flock.BinCount(subfeature) == 2);
Contracts.Assert(GetMaxBorder(subfeature) == GetMinBorder(subfeature));

var binStats = GetBinStats(GetMinBorder(subfeature));
sumGTTargets += binStats.SumTargets;
if (hasWeights)
sumGTWeights += binStats.SumWeights;*/


sumGTTargets += binStats.SumTargets;
gtCount += binStats.Count;
docsInCurrentGroup += binStats.Count;
Expand Down
3 changes: 0 additions & 3 deletions src/Microsoft.ML.FastTree/Dataset/SegmentIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -168,11 +168,8 @@ public static void StatsOfBestEncoding(uint[] ivalues, int bitsForMaxItem, bool

max = 0;
bits = TransitionCost;
//IEnumerator<int> ienum = ivalues.GetEnumerator();
//while (ienum.MoveNext())
for (int i = 0; i < ivalues.Length; ++i)
{
//uint val = (uint)ienum.Current;
uint val = (uint)ivalues[i];
if (val > max)
max = val;
Expand Down
5 changes: 0 additions & 5 deletions src/Microsoft.ML.FastTree/Dataset/SparseIntArray.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -546,13 +546,9 @@ public unsafe int this[int virtualIndex]
{
get
{
//if (virtualIndex < _index) throw new Exception("Index must move forward");

if (virtualIndex < _nextIndex)
return 0;

//if (virtualIndex >= _array._length) throw new IndexOutOfRangeException();

if (virtualIndex == _nextIndex)
return _array._values[_pos];

Expand All@@ -561,7 +557,6 @@ public unsafe int this[int virtualIndex]
{
while (_pos < _array._values.Length)
{
//_index = _nextIndex;
_nextIndex += pDeltas[_pos];
if (virtualIndex < _nextIndex)
return 0;
Expand Down
2 changes: 0 additions & 2 deletions src/Microsoft.ML.FastTree/FastTreeRanking.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -579,7 +579,6 @@ private void SetupSecondaryGains(Arguments args)
_secondaryMetricShare = 0.0;
return;
}
//for (int i = 0; i < _secondaryGains.Length; ++i) _secondaryGains[i] *= cmd.secondaryMetricShare;
_secondaryInverseMaxDCGT = DCGCalculator.MaxDCG(_secondaryGains, Dataset.Boundaries,
new int[] { args.lambdaMartMaxTruncation })[0].Select(d => 1.0 / d).ToArray();
}
Expand DownExpand Up@@ -726,7 +725,6 @@ protected override void GetGradientInOneQuery(int query, int threadIndex)
double inverseMaxDcg = _inverseMaxDcgt[query];
double secondaryInverseMaxDcg = _secondaryMetricShare == 0 ? 0.0 : _secondaryInverseMaxDcgt[query];

//int[] permutation = (threadIndex < 0 ? new int[numDocuments] : _permutationBuffers[threadIndex]);
int[] permutation = _permutationBuffers[threadIndex];

short[] labels = _labels;
Expand Down
1 change: 0 additions & 1 deletion src/Microsoft.ML.FastTree/Microsoft.ML.FastTree.csproj
Original file line numberDiff line numberDiff line change
Expand Up@@ -12,7 +12,6 @@
<ProjectReference Include="..\Microsoft.ML.Core\Microsoft.ML.Core.csproj" />
<ProjectReference Include="..\Microsoft.ML.CpuMath\Microsoft.ML.CpuMath.csproj" />
<ProjectReference Include="..\Microsoft.ML.Data\Microsoft.ML.Data.csproj" />
<ProjectReference Include="..\Microsoft.ML.InternalStreams\Microsoft.ML.InternalStreams.csproj" />
</ItemGroup>

<ItemGroup>
Expand Down
2 changes: 1 addition & 1 deletion src/Microsoft.ML.FastTree/Training/ScoreTracker.cs
Original file line numberDiff line numberDiff line change
Expand Up@@ -53,7 +53,7 @@ public void Initialize(ScoreTracker scores1, RegressionTree tree, DocumentPartit
}

//InitScores -initScores can be null in such case the scores are reinitialized to Zero
private void InitializeScores(double[] initScores /* = null */)
private void InitializeScores(double[] initScores)
{
if (initScores == null)
{
Expand Down
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