Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters - #3339

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rogancarr merged 1 commit into
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rogancarr:1850_tree_featuregain_docs
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Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters#3339
rogancarr merged 1 commit into
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rogancarr:1850_tree_featuregain_docs

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This PR clarifies the documentation for GetFeatureWeights() in TreeEnsembleModelParameters. Since IHaveFeatureWeights has become internal, the TreeEnsembleModelParameters are now the only place where this method is visible, and it is unclear from the API what this returns. This PR adds documentation to specify that the "weights" returned are the cumulative split gains for all the trees in the ensemble.

Fixes#1850

/// <param name="weights">a <see cref="VBuffer{T}"/> where feature weights would be assigned to.
/// The i-th element in <paramref name="weights"/> stores the weight of the i-th feature.</param>
/// <param name="weights">A <see cref="VBuffer{T}"/> to hold the cumulative split gain value for each feature.
/// The i-th element in <paramref name="weights"/> stores the cumulative split gain of the i-th feature.</param>

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Thank you @rogancarr! As discussed "weights" is a bit of an unfortunate word for "cumulative split gains," but it's probably too late to change the API at this point.

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Thank you @rogancarr !

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Codecov Report

Merging #3339 into master will decrease coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3339 +/- ##
==========================================
- Coverage 72.66% 72.66% -0.01% 
==========================================
Files 807 807 Lines 145191 145191 Branches 16223 16223 ==========================================
- Hits 105503 105502 -1 
Misses 35268 35268 - Partials 4420 4421 +1
FlagCoverage Δ
#Debug72.66% <ø> (-0.01%)⬇️
#production68.19% <ø> (-0.01%)⬇️
#test88.97% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.FastTree/FastTree.cs80.71% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️

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:shipit:

@rogancarr
rogancarr merged commit 0bb8163 into dotnet:masterApr 15, 2019
@rogancarr
rogancarr deleted the 1850_tree_featuregain_docs branch April 15, 2019 21:59
rogancarr added a commit to rogancarr/machinelearning that referenced this pull request Apr 15, 2019
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OLS FeatureWeights are not the model weights

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})();
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try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters - #3339

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rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs
Apr 15, 2019
Merged

Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters#3339
rogancarr merged 1 commit into
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rogancarr:1850_tree_featuregain_docs

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This PR clarifies the documentation for GetFeatureWeights() in TreeEnsembleModelParameters. Since IHaveFeatureWeights has become internal, the TreeEnsembleModelParameters are now the only place where this method is visible, and it is unclear from the API what this returns. This PR adds documentation to specify that the "weights" returned are the cumulative split gains for all the trees in the ensemble.

Fixes#1850

/// <param name="weights">a <see cref="VBuffer{T}"/> where feature weights would be assigned to.
/// The i-th element in <paramref name="weights"/> stores the weight of the i-th feature.</param>
/// <param name="weights">A <see cref="VBuffer{T}"/> to hold the cumulative split gain value for each feature.
/// The i-th element in <paramref name="weights"/> stores the cumulative split gain of the i-th feature.</param>

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Thank you @rogancarr! As discussed "weights" is a bit of an unfortunate word for "cumulative split gains," but it's probably too late to change the API at this point.

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Thank you @rogancarr !

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Codecov Report

Merging #3339 into master will decrease coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3339 +/- ##
==========================================
- Coverage 72.66% 72.66% -0.01% 
==========================================
Files 807 807 Lines 145191 145191 Branches 16223 16223 ==========================================
- Hits 105503 105502 -1 
Misses 35268 35268 - Partials 4420 4421 +1
FlagCoverage Δ
#Debug72.66% <ø> (-0.01%)⬇️
#production68.19% <ø> (-0.01%)⬇️
#test88.97% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.FastTree/FastTree.cs80.71% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️

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:shipit:

@rogancarr
rogancarr merged commit 0bb8163 into dotnet:masterApr 15, 2019
@rogancarr
rogancarr deleted the 1850_tree_featuregain_docs branch April 15, 2019 21:59
rogancarr added a commit to rogancarr/machinelearning that referenced this pull request Apr 15, 2019
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OLS FeatureWeights are not the model weights

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@rogancarr@Ivanidzo4ka@TomFinley
, '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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Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters - #3339

Merged
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs
Apr 15, 2019
Merged

Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters#3339
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs

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This PR clarifies the documentation for GetFeatureWeights() in TreeEnsembleModelParameters. Since IHaveFeatureWeights has become internal, the TreeEnsembleModelParameters are now the only place where this method is visible, and it is unclear from the API what this returns. This PR adds documentation to specify that the "weights" returned are the cumulative split gains for all the trees in the ensemble.

Fixes#1850

/// <param name="weights">a <see cref="VBuffer{T}"/> where feature weights would be assigned to.
/// The i-th element in <paramref name="weights"/> stores the weight of the i-th feature.</param>
/// <param name="weights">A <see cref="VBuffer{T}"/> to hold the cumulative split gain value for each feature.
/// The i-th element in <paramref name="weights"/> stores the cumulative split gain of the i-th feature.</param>

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Thank you @rogancarr! As discussed "weights" is a bit of an unfortunate word for "cumulative split gains," but it's probably too late to change the API at this point.

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Thank you @rogancarr !

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Codecov Report

Merging #3339 into master will decrease coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3339 +/- ##
==========================================
- Coverage 72.66% 72.66% -0.01% 
==========================================
Files 807 807 Lines 145191 145191 Branches 16223 16223 ==========================================
- Hits 105503 105502 -1 
Misses 35268 35268 - Partials 4420 4421 +1
FlagCoverage Δ
#Debug72.66% <ø> (-0.01%)⬇️
#production68.19% <ø> (-0.01%)⬇️
#test88.97% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.FastTree/FastTree.cs80.71% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️

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:shipit:

@rogancarr
rogancarr merged commit 0bb8163 into dotnet:masterApr 15, 2019
@rogancarr
rogancarr deleted the 1850_tree_featuregain_docs branch April 15, 2019 21:59
rogancarr added a commit to rogancarr/machinelearning that referenced this pull request Apr 15, 2019
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OLS FeatureWeights are not the model weights

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, '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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Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters - #3339

Merged
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs
Apr 15, 2019
Merged

Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters#3339
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs

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This PR clarifies the documentation for GetFeatureWeights() in TreeEnsembleModelParameters. Since IHaveFeatureWeights has become internal, the TreeEnsembleModelParameters are now the only place where this method is visible, and it is unclear from the API what this returns. This PR adds documentation to specify that the "weights" returned are the cumulative split gains for all the trees in the ensemble.

Fixes#1850

/// <param name="weights">a <see cref="VBuffer{T}"/> where feature weights would be assigned to.
/// The i-th element in <paramref name="weights"/> stores the weight of the i-th feature.</param>
/// <param name="weights">A <see cref="VBuffer{T}"/> to hold the cumulative split gain value for each feature.
/// The i-th element in <paramref name="weights"/> stores the cumulative split gain of the i-th feature.</param>

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Thank you @rogancarr! As discussed "weights" is a bit of an unfortunate word for "cumulative split gains," but it's probably too late to change the API at this point.

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Thank you @rogancarr !

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Codecov Report

Merging #3339 into master will decrease coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3339 +/- ##
==========================================
- Coverage 72.66% 72.66% -0.01% 
==========================================
Files 807 807 Lines 145191 145191 Branches 16223 16223 ==========================================
- Hits 105503 105502 -1 
Misses 35268 35268 - Partials 4420 4421 +1
FlagCoverage Δ
#Debug72.66% <ø> (-0.01%)⬇️
#production68.19% <ø> (-0.01%)⬇️
#test88.97% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.FastTree/FastTree.cs80.71% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️

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:shipit:

@rogancarr
rogancarr merged commit 0bb8163 into dotnet:masterApr 15, 2019
@rogancarr
rogancarr deleted the 1850_tree_featuregain_docs branch April 15, 2019 21:59
rogancarr added a commit to rogancarr/machinelearning that referenced this pull request Apr 15, 2019
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OLS FeatureWeights are not the model weights

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, '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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Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters - #3339

Merged
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs
Apr 15, 2019
Merged

Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters#3339
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs

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This PR clarifies the documentation for GetFeatureWeights() in TreeEnsembleModelParameters. Since IHaveFeatureWeights has become internal, the TreeEnsembleModelParameters are now the only place where this method is visible, and it is unclear from the API what this returns. This PR adds documentation to specify that the "weights" returned are the cumulative split gains for all the trees in the ensemble.

Fixes#1850

/// <param name="weights">a <see cref="VBuffer{T}"/> where feature weights would be assigned to.
/// The i-th element in <paramref name="weights"/> stores the weight of the i-th feature.</param>
/// <param name="weights">A <see cref="VBuffer{T}"/> to hold the cumulative split gain value for each feature.
/// The i-th element in <paramref name="weights"/> stores the cumulative split gain of the i-th feature.</param>

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Thank you @rogancarr! As discussed "weights" is a bit of an unfortunate word for "cumulative split gains," but it's probably too late to change the API at this point.

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Thank you @rogancarr !

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Codecov Report

Merging #3339 into master will decrease coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3339 +/- ##
==========================================
- Coverage 72.66% 72.66% -0.01% 
==========================================
Files 807 807 Lines 145191 145191 Branches 16223 16223 ==========================================
- Hits 105503 105502 -1 
Misses 35268 35268 - Partials 4420 4421 +1
FlagCoverage Δ
#Debug72.66% <ø> (-0.01%)⬇️
#production68.19% <ø> (-0.01%)⬇️
#test88.97% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.FastTree/FastTree.cs80.71% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️

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:shipit:

@rogancarr
rogancarr merged commit 0bb8163 into dotnet:masterApr 15, 2019
@rogancarr
rogancarr deleted the 1850_tree_featuregain_docs branch April 15, 2019 21:59
rogancarr added a commit to rogancarr/machinelearning that referenced this pull request Apr 15, 2019
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OLS FeatureWeights are not the model weights

3 participants

@rogancarr@Ivanidzo4ka@TomFinley
, '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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Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters - #3339

Merged
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs
Apr 15, 2019
Merged

Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters#3339
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs

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This PR clarifies the documentation for GetFeatureWeights() in TreeEnsembleModelParameters. Since IHaveFeatureWeights has become internal, the TreeEnsembleModelParameters are now the only place where this method is visible, and it is unclear from the API what this returns. This PR adds documentation to specify that the "weights" returned are the cumulative split gains for all the trees in the ensemble.

Fixes#1850

/// <param name="weights">a <see cref="VBuffer{T}"/> where feature weights would be assigned to.
/// The i-th element in <paramref name="weights"/> stores the weight of the i-th feature.</param>
/// <param name="weights">A <see cref="VBuffer{T}"/> to hold the cumulative split gain value for each feature.
/// The i-th element in <paramref name="weights"/> stores the cumulative split gain of the i-th feature.</param>

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Thank you @rogancarr! As discussed "weights" is a bit of an unfortunate word for "cumulative split gains," but it's probably too late to change the API at this point.

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Thank you @rogancarr !

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Codecov Report

Merging #3339 into master will decrease coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3339 +/- ##
==========================================
- Coverage 72.66% 72.66% -0.01% 
==========================================
Files 807 807 Lines 145191 145191 Branches 16223 16223 ==========================================
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Misses 35268 35268 - Partials 4420 4421 +1
FlagCoverage Δ
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#production68.19% <ø> (-0.01%)⬇️
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src/Microsoft.ML.FastTree/FastTree.cs80.71% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️

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:shipit:

@rogancarr
rogancarr merged commit 0bb8163 into dotnet:masterApr 15, 2019
@rogancarr
rogancarr deleted the 1850_tree_featuregain_docs branch April 15, 2019 21:59
rogancarr added a commit to rogancarr/machinelearning that referenced this pull request Apr 15, 2019
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OLS FeatureWeights are not the model weights

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@rogancarr@Ivanidzo4ka@TomFinley
, '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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Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters - #3339

Merged
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs
Apr 15, 2019
Merged

Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters#3339
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs

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This PR clarifies the documentation for GetFeatureWeights() in TreeEnsembleModelParameters. Since IHaveFeatureWeights has become internal, the TreeEnsembleModelParameters are now the only place where this method is visible, and it is unclear from the API what this returns. This PR adds documentation to specify that the "weights" returned are the cumulative split gains for all the trees in the ensemble.

Fixes#1850

/// <param name="weights">a <see cref="VBuffer{T}"/> where feature weights would be assigned to.
/// The i-th element in <paramref name="weights"/> stores the weight of the i-th feature.</param>
/// <param name="weights">A <see cref="VBuffer{T}"/> to hold the cumulative split gain value for each feature.
/// The i-th element in <paramref name="weights"/> stores the cumulative split gain of the i-th feature.</param>

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Thank you @rogancarr! As discussed "weights" is a bit of an unfortunate word for "cumulative split gains," but it's probably too late to change the API at this point.

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Thank you @rogancarr !

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Codecov Report

Merging #3339 into master will decrease coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3339 +/- ##
==========================================
- Coverage 72.66% 72.66% -0.01% 
==========================================
Files 807 807 Lines 145191 145191 Branches 16223 16223 ==========================================
- Hits 105503 105502 -1 
Misses 35268 35268 - Partials 4420 4421 +1
FlagCoverage Δ
#Debug72.66% <ø> (-0.01%)⬇️
#production68.19% <ø> (-0.01%)⬇️
#test88.97% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.FastTree/FastTree.cs80.71% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️

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:shipit:

@rogancarr
rogancarr merged commit 0bb8163 into dotnet:masterApr 15, 2019
@rogancarr
rogancarr deleted the 1850_tree_featuregain_docs branch April 15, 2019 21:59
rogancarr added a commit to rogancarr/machinelearning that referenced this pull request Apr 15, 2019
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OLS FeatureWeights are not the model weights

3 participants

@rogancarr@Ivanidzo4ka@TomFinley
, '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); } })(); })();
Skip to content

Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters - #3339

Merged
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs
Apr 15, 2019
Merged

Clarify documentation for GetFeatureWeights in TreeEnsembleModelParameters#3339
rogancarr merged 1 commit into
dotnet:masterfrom
rogancarr:1850_tree_featuregain_docs

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@rogancarr

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This PR clarifies the documentation for GetFeatureWeights() in TreeEnsembleModelParameters. Since IHaveFeatureWeights has become internal, the TreeEnsembleModelParameters are now the only place where this method is visible, and it is unclear from the API what this returns. This PR adds documentation to specify that the "weights" returned are the cumulative split gains for all the trees in the ensemble.

Fixes#1850

/// <param name="weights">a <see cref="VBuffer{T}"/> where feature weights would be assigned to.
/// The i-th element in <paramref name="weights"/> stores the weight of the i-th feature.</param>
/// <param name="weights">A <see cref="VBuffer{T}"/> to hold the cumulative split gain value for each feature.
/// The i-th element in <paramref name="weights"/> stores the cumulative split gain of the i-th feature.</param>

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Thank you @rogancarr! As discussed "weights" is a bit of an unfortunate word for "cumulative split gains," but it's probably too late to change the API at this point.

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Thank you @rogancarr !

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Codecov Report

Merging #3339 into master will decrease coverage by <.01%.
The diff coverage is n/a.

@@ Coverage Diff @@## master #3339 +/- ##
==========================================
- Coverage 72.66% 72.66% -0.01% 
==========================================
Files 807 807 Lines 145191 145191 Branches 16223 16223 ==========================================
- Hits 105503 105502 -1 
Misses 35268 35268 - Partials 4420 4421 +1
FlagCoverage Δ
#Debug72.66% <ø> (-0.01%)⬇️
#production68.19% <ø> (-0.01%)⬇️
#test88.97% <ø> (ø)⬆️
Impacted FilesCoverage Δ
src/Microsoft.ML.FastTree/FastTree.cs80.71% <ø> (ø)⬆️
...ML.Transforms/Text/StopWordsRemovingTransformer.cs86.1% <0%> (-0.16%)⬇️

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:shipit:

@rogancarr
rogancarr merged commit 0bb8163 into dotnet:masterApr 15, 2019
@rogancarr
rogancarr deleted the 1850_tree_featuregain_docs branch April 15, 2019 21:59
rogancarr added a commit to rogancarr/machinelearning that referenced this pull request Apr 15, 2019
@ghostghost locked as resolved and limited conversation to collaborators Mar 22, 2022
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Successfully merging this pull request may close these issues.

OLS FeatureWeights are not the model weights

3 participants

@rogancarr@Ivanidzo4ka@TomFinley