Tree based trainers implement ICanGetSummaryAsIDataView - #3892

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artidoro merged 16 commits into
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artidoro:fasttreesummary2
Jul 2, 2019
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Tree based trainers implement ICanGetSummaryAsIDataView#3892
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Fixes#3755.

NimbusML did not have access to the details on the tree structure.
This PR implements the ICanGetSummaryAsIDataView interface which is used in the Summarize entrypoint to pass a summary of the model parameters to NimbusML in the form of an IDataView.

I create a utility method that does the conversion from RegressionTreeBase to IDataView with special treatment for QuantileRegressionTrees which have additional information.

In the IDataView, each node has its own row and the columns correspond to the fields describing each node. To determine which tree the node belongs to there is a TreeID column.

@artidoroartidoro self-assigned this Jun 20, 2019
Comment threadtest/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
/// <see cref="TrainedTreeEnsemble"/>.
/// </summary>
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters, ICanGetSummaryAsIDataView

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Why do we need ICanGetSummaryAs...? IDataView RegressionTreeEnsembleAsIDataView(..) looks sufficient for generating a summary. #ByDesign

@artidoroartidoroJun 21, 2019

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That's the interface that Summarize entrypoint uses to get the IDataView from a trainer.

See:

publicstaticCommonOutputs.SummaryOutputSummarize(IHostEnvironmentenv,SummarizePredictor.Inputinput)

And:

internalstaticIDataViewGetSummaryAndStats(IHostEnvironmentenv,IPredictorpredictor,RoleMappedSchemaschema,outIDataViewstats)
#Resolved

@ganik

ganik commented Jun 21, 2019

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 public void EntryPointPipelineEnsembleText()

Pls add test using graph json text #Resolved


Refers to: test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs:934 in 81a5d39. [](commit_id = 81a5d39, deletion_comment = False)

/// Used for the Summarize entrypoint.
/// </summary>
IDataView ICanGetSummaryAsIDataView.GetSummaryDataView(RoleMappedSchema schema)
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.Trees);

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indent

[LightGBMFact]
public void LightGbmBinaryClassificationTestSummary()
{
var (pipeline, dataView) = GetBinaryClassificationPipeline();

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GetBinaryClassificationPipeline [](start = 39, length = 31)

Make sure that these work with the categorical split after one hot encoding.

@codemzs
codemzs self-requested a review June 29, 2019 00:35

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We reviewed this in person and mostly looks good. Signing off assuming you will be fix the output of the summary to not display negative values for node ids and instead use 2s complement so that it is easier to understand the tree structure.

@artidoro
artidoro merged commit d0b3f86 into dotnet:masterJul 2, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
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Model summary to show tree details for FastTree

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
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}
} 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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Tree based trainers implement ICanGetSummaryAsIDataView - #3892

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artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2
Jul 2, 2019
Merged

Tree based trainers implement ICanGetSummaryAsIDataView#3892
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2

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Fixes#3755.

NimbusML did not have access to the details on the tree structure.
This PR implements the ICanGetSummaryAsIDataView interface which is used in the Summarize entrypoint to pass a summary of the model parameters to NimbusML in the form of an IDataView.

I create a utility method that does the conversion from RegressionTreeBase to IDataView with special treatment for QuantileRegressionTrees which have additional information.

In the IDataView, each node has its own row and the columns correspond to the fields describing each node. To determine which tree the node belongs to there is a TreeID column.

@artidoroartidoro self-assigned this Jun 20, 2019
Comment threadtest/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
/// <see cref="TrainedTreeEnsemble"/>.
/// </summary>
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters, ICanGetSummaryAsIDataView

@wschinwschinJun 20, 2019

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Why do we need ICanGetSummaryAs...? IDataView RegressionTreeEnsembleAsIDataView(..) looks sufficient for generating a summary. #ByDesign

@artidoroartidoroJun 21, 2019

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That's the interface that Summarize entrypoint uses to get the IDataView from a trainer.

See:

publicstaticCommonOutputs.SummaryOutputSummarize(IHostEnvironmentenv,SummarizePredictor.Inputinput)

And:

internalstaticIDataViewGetSummaryAndStats(IHostEnvironmentenv,IPredictorpredictor,RoleMappedSchemaschema,outIDataViewstats)
#Resolved

@ganik

ganik commented Jun 21, 2019

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 public void EntryPointPipelineEnsembleText()

Pls add test using graph json text #Resolved


Refers to: test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs:934 in 81a5d39. [](commit_id = 81a5d39, deletion_comment = False)

/// Used for the Summarize entrypoint.
/// </summary>
IDataView ICanGetSummaryAsIDataView.GetSummaryDataView(RoleMappedSchema schema)
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.Trees);

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indent

[LightGBMFact]
public void LightGbmBinaryClassificationTestSummary()
{
var (pipeline, dataView) = GetBinaryClassificationPipeline();

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GetBinaryClassificationPipeline [](start = 39, length = 31)

Make sure that these work with the categorical split after one hot encoding.

@codemzs
codemzs self-requested a review June 29, 2019 00:35

@codemzscodemzs left a comment

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We reviewed this in person and mostly looks good. Signing off assuming you will be fix the output of the summary to not display negative values for node ids and instead use 2s complement so that it is easier to understand the tree structure.

@artidoro
artidoro merged commit d0b3f86 into dotnet:masterJul 2, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Model summary to show tree details for FastTree

4 participants

@artidoro@ganik@codemzs@wschin
, '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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Tree based trainers implement ICanGetSummaryAsIDataView - #3892

Merged
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2
Jul 2, 2019
Merged

Tree based trainers implement ICanGetSummaryAsIDataView#3892
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2

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Fixes#3755.

NimbusML did not have access to the details on the tree structure.
This PR implements the ICanGetSummaryAsIDataView interface which is used in the Summarize entrypoint to pass a summary of the model parameters to NimbusML in the form of an IDataView.

I create a utility method that does the conversion from RegressionTreeBase to IDataView with special treatment for QuantileRegressionTrees which have additional information.

In the IDataView, each node has its own row and the columns correspond to the fields describing each node. To determine which tree the node belongs to there is a TreeID column.

@artidoroartidoro self-assigned this Jun 20, 2019
Comment threadtest/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
/// <see cref="TrainedTreeEnsemble"/>.
/// </summary>
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters, ICanGetSummaryAsIDataView

@wschinwschinJun 20, 2019

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Why do we need ICanGetSummaryAs...? IDataView RegressionTreeEnsembleAsIDataView(..) looks sufficient for generating a summary. #ByDesign

@artidoroartidoroJun 21, 2019

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That's the interface that Summarize entrypoint uses to get the IDataView from a trainer.

See:

publicstaticCommonOutputs.SummaryOutputSummarize(IHostEnvironmentenv,SummarizePredictor.Inputinput)

And:

internalstaticIDataViewGetSummaryAndStats(IHostEnvironmentenv,IPredictorpredictor,RoleMappedSchemaschema,outIDataViewstats)
#Resolved

@ganik

ganik commented Jun 21, 2019

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 public void EntryPointPipelineEnsembleText()

Pls add test using graph json text #Resolved


Refers to: test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs:934 in 81a5d39. [](commit_id = 81a5d39, deletion_comment = False)

/// Used for the Summarize entrypoint.
/// </summary>
IDataView ICanGetSummaryAsIDataView.GetSummaryDataView(RoleMappedSchema schema)
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.Trees);

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indent

[LightGBMFact]
public void LightGbmBinaryClassificationTestSummary()
{
var (pipeline, dataView) = GetBinaryClassificationPipeline();

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GetBinaryClassificationPipeline [](start = 39, length = 31)

Make sure that these work with the categorical split after one hot encoding.

@codemzs
codemzs self-requested a review June 29, 2019 00:35

@codemzscodemzs left a comment

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We reviewed this in person and mostly looks good. Signing off assuming you will be fix the output of the summary to not display negative values for node ids and instead use 2s complement so that it is easier to understand the tree structure.

@artidoro
artidoro merged commit d0b3f86 into dotnet:masterJul 2, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Model summary to show tree details for FastTree

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@artidoro@ganik@codemzs@wschin
, '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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Tree based trainers implement ICanGetSummaryAsIDataView - #3892

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artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2
Jul 2, 2019
Merged

Tree based trainers implement ICanGetSummaryAsIDataView#3892
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2

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Fixes#3755.

NimbusML did not have access to the details on the tree structure.
This PR implements the ICanGetSummaryAsIDataView interface which is used in the Summarize entrypoint to pass a summary of the model parameters to NimbusML in the form of an IDataView.

I create a utility method that does the conversion from RegressionTreeBase to IDataView with special treatment for QuantileRegressionTrees which have additional information.

In the IDataView, each node has its own row and the columns correspond to the fields describing each node. To determine which tree the node belongs to there is a TreeID column.

@artidoroartidoro self-assigned this Jun 20, 2019
Comment threadtest/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
/// <see cref="TrainedTreeEnsemble"/>.
/// </summary>
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters, ICanGetSummaryAsIDataView

@wschinwschinJun 20, 2019

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Why do we need ICanGetSummaryAs...? IDataView RegressionTreeEnsembleAsIDataView(..) looks sufficient for generating a summary. #ByDesign

@artidoroartidoroJun 21, 2019

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That's the interface that Summarize entrypoint uses to get the IDataView from a trainer.

See:

publicstaticCommonOutputs.SummaryOutputSummarize(IHostEnvironmentenv,SummarizePredictor.Inputinput)

And:

internalstaticIDataViewGetSummaryAndStats(IHostEnvironmentenv,IPredictorpredictor,RoleMappedSchemaschema,outIDataViewstats)
#Resolved

@ganik

ganik commented Jun 21, 2019

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 public void EntryPointPipelineEnsembleText()

Pls add test using graph json text #Resolved


Refers to: test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs:934 in 81a5d39. [](commit_id = 81a5d39, deletion_comment = False)

/// Used for the Summarize entrypoint.
/// </summary>
IDataView ICanGetSummaryAsIDataView.GetSummaryDataView(RoleMappedSchema schema)
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.Trees);

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indent

[LightGBMFact]
public void LightGbmBinaryClassificationTestSummary()
{
var (pipeline, dataView) = GetBinaryClassificationPipeline();

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GetBinaryClassificationPipeline [](start = 39, length = 31)

Make sure that these work with the categorical split after one hot encoding.

@codemzs
codemzs self-requested a review June 29, 2019 00:35

@codemzscodemzs left a comment

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We reviewed this in person and mostly looks good. Signing off assuming you will be fix the output of the summary to not display negative values for node ids and instead use 2s complement so that it is easier to understand the tree structure.

@artidoro
artidoro merged commit d0b3f86 into dotnet:masterJul 2, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Model summary to show tree details for FastTree

4 participants

@artidoro@ganik@codemzs@wschin
, '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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Tree based trainers implement ICanGetSummaryAsIDataView - #3892

Merged
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2
Jul 2, 2019
Merged

Tree based trainers implement ICanGetSummaryAsIDataView#3892
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2

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Fixes#3755.

NimbusML did not have access to the details on the tree structure.
This PR implements the ICanGetSummaryAsIDataView interface which is used in the Summarize entrypoint to pass a summary of the model parameters to NimbusML in the form of an IDataView.

I create a utility method that does the conversion from RegressionTreeBase to IDataView with special treatment for QuantileRegressionTrees which have additional information.

In the IDataView, each node has its own row and the columns correspond to the fields describing each node. To determine which tree the node belongs to there is a TreeID column.

@artidoroartidoro self-assigned this Jun 20, 2019
Comment threadtest/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
/// <see cref="TrainedTreeEnsemble"/>.
/// </summary>
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters, ICanGetSummaryAsIDataView

@wschinwschinJun 20, 2019

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Why do we need ICanGetSummaryAs...? IDataView RegressionTreeEnsembleAsIDataView(..) looks sufficient for generating a summary. #ByDesign

@artidoroartidoroJun 21, 2019

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That's the interface that Summarize entrypoint uses to get the IDataView from a trainer.

See:

publicstaticCommonOutputs.SummaryOutputSummarize(IHostEnvironmentenv,SummarizePredictor.Inputinput)

And:

internalstaticIDataViewGetSummaryAndStats(IHostEnvironmentenv,IPredictorpredictor,RoleMappedSchemaschema,outIDataViewstats)
#Resolved

@ganik

ganik commented Jun 21, 2019

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 public void EntryPointPipelineEnsembleText()

Pls add test using graph json text #Resolved


Refers to: test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs:934 in 81a5d39. [](commit_id = 81a5d39, deletion_comment = False)

/// Used for the Summarize entrypoint.
/// </summary>
IDataView ICanGetSummaryAsIDataView.GetSummaryDataView(RoleMappedSchema schema)
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.Trees);

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indent

[LightGBMFact]
public void LightGbmBinaryClassificationTestSummary()
{
var (pipeline, dataView) = GetBinaryClassificationPipeline();

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GetBinaryClassificationPipeline [](start = 39, length = 31)

Make sure that these work with the categorical split after one hot encoding.

@codemzs
codemzs self-requested a review June 29, 2019 00:35

@codemzscodemzs left a comment

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We reviewed this in person and mostly looks good. Signing off assuming you will be fix the output of the summary to not display negative values for node ids and instead use 2s complement so that it is easier to understand the tree structure.

@artidoro
artidoro merged commit d0b3f86 into dotnet:masterJul 2, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
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Model summary to show tree details for FastTree

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@artidoro@ganik@codemzs@wschin
, '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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Tree based trainers implement ICanGetSummaryAsIDataView - #3892

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artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2
Jul 2, 2019
Merged

Tree based trainers implement ICanGetSummaryAsIDataView#3892
artidoro merged 16 commits into
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Fixes#3755.

NimbusML did not have access to the details on the tree structure.
This PR implements the ICanGetSummaryAsIDataView interface which is used in the Summarize entrypoint to pass a summary of the model parameters to NimbusML in the form of an IDataView.

I create a utility method that does the conversion from RegressionTreeBase to IDataView with special treatment for QuantileRegressionTrees which have additional information.

In the IDataView, each node has its own row and the columns correspond to the fields describing each node. To determine which tree the node belongs to there is a TreeID column.

@artidoroartidoro self-assigned this Jun 20, 2019
Comment threadtest/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
/// <see cref="TrainedTreeEnsemble"/>.
/// </summary>
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters, ICanGetSummaryAsIDataView

@wschinwschinJun 20, 2019

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Why do we need ICanGetSummaryAs...? IDataView RegressionTreeEnsembleAsIDataView(..) looks sufficient for generating a summary. #ByDesign

@artidoroartidoroJun 21, 2019

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That's the interface that Summarize entrypoint uses to get the IDataView from a trainer.

See:

publicstaticCommonOutputs.SummaryOutputSummarize(IHostEnvironmentenv,SummarizePredictor.Inputinput)

And:

internalstaticIDataViewGetSummaryAndStats(IHostEnvironmentenv,IPredictorpredictor,RoleMappedSchemaschema,outIDataViewstats)
#Resolved

@ganik

ganik commented Jun 21, 2019

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 public void EntryPointPipelineEnsembleText()

Pls add test using graph json text #Resolved


Refers to: test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs:934 in 81a5d39. [](commit_id = 81a5d39, deletion_comment = False)

/// Used for the Summarize entrypoint.
/// </summary>
IDataView ICanGetSummaryAsIDataView.GetSummaryDataView(RoleMappedSchema schema)
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.Trees);

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indent

[LightGBMFact]
public void LightGbmBinaryClassificationTestSummary()
{
var (pipeline, dataView) = GetBinaryClassificationPipeline();

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GetBinaryClassificationPipeline [](start = 39, length = 31)

Make sure that these work with the categorical split after one hot encoding.

@codemzs
codemzs self-requested a review June 29, 2019 00:35

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We reviewed this in person and mostly looks good. Signing off assuming you will be fix the output of the summary to not display negative values for node ids and instead use 2s complement so that it is easier to understand the tree structure.

@artidoro
artidoro merged commit d0b3f86 into dotnet:masterJul 2, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Model summary to show tree details for FastTree

4 participants

@artidoro@ganik@codemzs@wschin
, '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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Tree based trainers implement ICanGetSummaryAsIDataView - #3892

Merged
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2
Jul 2, 2019
Merged

Tree based trainers implement ICanGetSummaryAsIDataView#3892
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2

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Fixes#3755.

NimbusML did not have access to the details on the tree structure.
This PR implements the ICanGetSummaryAsIDataView interface which is used in the Summarize entrypoint to pass a summary of the model parameters to NimbusML in the form of an IDataView.

I create a utility method that does the conversion from RegressionTreeBase to IDataView with special treatment for QuantileRegressionTrees which have additional information.

In the IDataView, each node has its own row and the columns correspond to the fields describing each node. To determine which tree the node belongs to there is a TreeID column.

@artidoroartidoro self-assigned this Jun 20, 2019
Comment threadtest/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
/// <see cref="TrainedTreeEnsemble"/>.
/// </summary>
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters, ICanGetSummaryAsIDataView

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Why do we need ICanGetSummaryAs...? IDataView RegressionTreeEnsembleAsIDataView(..) looks sufficient for generating a summary. #ByDesign

@artidoroartidoroJun 21, 2019

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That's the interface that Summarize entrypoint uses to get the IDataView from a trainer.

See:

publicstaticCommonOutputs.SummaryOutputSummarize(IHostEnvironmentenv,SummarizePredictor.Inputinput)

And:

internalstaticIDataViewGetSummaryAndStats(IHostEnvironmentenv,IPredictorpredictor,RoleMappedSchemaschema,outIDataViewstats)
#Resolved

@ganik

ganik commented Jun 21, 2019

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 public void EntryPointPipelineEnsembleText()

Pls add test using graph json text #Resolved


Refers to: test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs:934 in 81a5d39. [](commit_id = 81a5d39, deletion_comment = False)

/// Used for the Summarize entrypoint.
/// </summary>
IDataView ICanGetSummaryAsIDataView.GetSummaryDataView(RoleMappedSchema schema)
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.Trees);

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indent

[LightGBMFact]
public void LightGbmBinaryClassificationTestSummary()
{
var (pipeline, dataView) = GetBinaryClassificationPipeline();

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GetBinaryClassificationPipeline [](start = 39, length = 31)

Make sure that these work with the categorical split after one hot encoding.

@codemzs
codemzs self-requested a review June 29, 2019 00:35

@codemzscodemzs left a comment

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We reviewed this in person and mostly looks good. Signing off assuming you will be fix the output of the summary to not display negative values for node ids and instead use 2s complement so that it is easier to understand the tree structure.

@artidoro
artidoro merged commit d0b3f86 into dotnet:masterJul 2, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Model summary to show tree details for FastTree

4 participants

@artidoro@ganik@codemzs@wschin
, '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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Tree based trainers implement ICanGetSummaryAsIDataView - #3892

Merged
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2
Jul 2, 2019
Merged

Tree based trainers implement ICanGetSummaryAsIDataView#3892
artidoro merged 16 commits into
dotnet:masterfrom
artidoro:fasttreesummary2

Conversation

@artidoro

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Fixes#3755.

NimbusML did not have access to the details on the tree structure.
This PR implements the ICanGetSummaryAsIDataView interface which is used in the Summarize entrypoint to pass a summary of the model parameters to NimbusML in the form of an IDataView.

I create a utility method that does the conversion from RegressionTreeBase to IDataView with special treatment for QuantileRegressionTrees which have additional information.

In the IDataView, each node has its own row and the columns correspond to the fields describing each node. To determine which tree the node belongs to there is a TreeID column.

@artidoroartidoro self-assigned this Jun 20, 2019
Comment threadtest/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs
/// <see cref="TrainedTreeEnsemble"/>.
/// </summary>
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters
public abstract class TreeEnsembleModelParametersBasedOnRegressionTree : TreeEnsembleModelParameters, ICanGetSummaryAsIDataView

@wschinwschinJun 20, 2019

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Why do we need ICanGetSummaryAs...? IDataView RegressionTreeEnsembleAsIDataView(..) looks sufficient for generating a summary. #ByDesign

@artidoroartidoroJun 21, 2019

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That's the interface that Summarize entrypoint uses to get the IDataView from a trainer.

See:

publicstaticCommonOutputs.SummaryOutputSummarize(IHostEnvironmentenv,SummarizePredictor.Inputinput)

And:

internalstaticIDataViewGetSummaryAndStats(IHostEnvironmentenv,IPredictorpredictor,RoleMappedSchemaschema,outIDataViewstats)
#Resolved

@ganik

ganik commented Jun 21, 2019

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 public void EntryPointPipelineEnsembleText()

Pls add test using graph json text #Resolved


Refers to: test/Microsoft.ML.Core.Tests/UnitTests/TestEntryPoints.cs:934 in 81a5d39. [](commit_id = 81a5d39, deletion_comment = False)

/// Used for the Summarize entrypoint.
/// </summary>
IDataView ICanGetSummaryAsIDataView.GetSummaryDataView(RoleMappedSchema schema)
=> RegressionTreeBaseUtils.RegressionTreeEnsembleAsIDataView(Host, TrainedTreeEnsemble.Bias, TrainedTreeEnsemble.TreeWeights, TrainedTreeEnsemble.Trees);

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indent

[LightGBMFact]
public void LightGbmBinaryClassificationTestSummary()
{
var (pipeline, dataView) = GetBinaryClassificationPipeline();

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GetBinaryClassificationPipeline [](start = 39, length = 31)

Make sure that these work with the categorical split after one hot encoding.

@codemzs
codemzs self-requested a review June 29, 2019 00:35

@codemzscodemzs left a comment

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We reviewed this in person and mostly looks good. Signing off assuming you will be fix the output of the summary to not display negative values for node ids and instead use 2s complement so that it is easier to understand the tree structure.

@artidoro
artidoro merged commit d0b3f86 into dotnet:masterJul 2, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Model summary to show tree details for FastTree

4 participants

@artidoro@ganik@codemzs@wschin