Change ensembles trainer to work with ITrainerEstimators instead of ITrainers - #3796

Merged
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles
Jul 1, 2019
Merged

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers#3796
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles

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@yaeldekel

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This is needed for using ensembles with non-default values for the sub-trainers.
Fixes#3709 .

var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
Run_TrainTest(pa, TestDatasets.iris);
Done();
}

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I guess that these tests were taken from TLC. Did you have to regenerate the results or were they the same?

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Good question. I regenerated all the results, but I went back and compared them to the old baselines, and all but one were identical. The different one was for the CV case of the EnsemblesDefaultTest. The differences in the scores were something like this:

7.057208
-0.569736
-3.265584
-2.8438797
-3.42607021
-3.27301645
4.12974262
3.61101723
3.70798635
0.8509629

(the new scores) vs.:

7.346347
-0.308689833
-3.056211
-2.46506
-3.10131264
-2.99300337
4.336238
3.53593183
4.37107658
0.862161636

Do you think we can attribute these changes to a random seed change? Or should we investigate this further?


In reply to: 290953192 [](ancestors = 290953192)

@artidoroartidoroJun 10, 2019

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I think so! They look quite similar.


In reply to: 292166898 [](ancestors = 292166898,290953192)

@yaeldekelyaeldekel reopened this Jun 10, 2019

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:shipit:

@codemzs
codemzs requested review from codemzs, ganik and wschin and removed request for Ivanidzo4kaJune 17, 2019 17:14

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:shipit:

@codemzs
codemzs merged commit 4b0fa53 into dotnet:masterJul 1, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
…Trainers (dotnet#3796)
* Change ensembles trainer to work with ITrainerEstimators instead of ITrainers
* Use NumberParseOptions.UseSingle when comparing baselines
* Decrease number of digits of precision
* Decrease number of digits of precision in some tests
* Disable some tests on netcoreapp3.0
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Ensembles don't work

4 participants

@yaeldekel@codemzs@artidoro@yaeldMS
, '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" + '
Skip to content

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers - #3796

Merged
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles
Jul 1, 2019
Merged

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers#3796
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles

Conversation

@yaeldekel

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This is needed for using ensembles with non-default values for the sub-trainers.
Fixes#3709 .

var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
Run_TrainTest(pa, TestDatasets.iris);
Done();
}

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I guess that these tests were taken from TLC. Did you have to regenerate the results or were they the same?

Copy link
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Author

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Good question. I regenerated all the results, but I went back and compared them to the old baselines, and all but one were identical. The different one was for the CV case of the EnsemblesDefaultTest. The differences in the scores were something like this:

7.057208
-0.569736
-3.265584
-2.8438797
-3.42607021
-3.27301645
4.12974262
3.61101723
3.70798635
0.8509629

(the new scores) vs.:

7.346347
-0.308689833
-3.056211
-2.46506
-3.10131264
-2.99300337
4.336238
3.53593183
4.37107658
0.862161636

Do you think we can attribute these changes to a random seed change? Or should we investigate this further?


In reply to: 290953192 [](ancestors = 290953192)

@artidoroartidoroJun 10, 2019

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I think so! They look quite similar.


In reply to: 292166898 [](ancestors = 292166898,290953192)

@yaeldekelyaeldekel reopened this Jun 10, 2019

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:shipit:

@codemzs
codemzs requested review from codemzs, ganik and wschin and removed request for Ivanidzo4kaJune 17, 2019 17:14

@codemzscodemzs left a comment

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:shipit:

@codemzs
codemzs merged commit 4b0fa53 into dotnet:masterJul 1, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
…Trainers (dotnet#3796)
* Change ensembles trainer to work with ITrainerEstimators instead of ITrainers
* Use NumberParseOptions.UseSingle when comparing baselines
* Decrease number of digits of precision
* Decrease number of digits of precision in some tests
* Disable some tests on netcoreapp3.0
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Ensembles don't work

4 participants

@yaeldekel@codemzs@artidoro@yaeldMS
, '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('^' + ".*" + '
Skip to content

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers - #3796

Merged
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles
Jul 1, 2019
Merged

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers#3796
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles

Conversation

@yaeldekel

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This is needed for using ensembles with non-default values for the sub-trainers.
Fixes#3709 .

var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
Run_TrainTest(pa, TestDatasets.iris);
Done();
}

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I guess that these tests were taken from TLC. Did you have to regenerate the results or were they the same?

Copy link
Copy Markdown
Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good question. I regenerated all the results, but I went back and compared them to the old baselines, and all but one were identical. The different one was for the CV case of the EnsemblesDefaultTest. The differences in the scores were something like this:

7.057208
-0.569736
-3.265584
-2.8438797
-3.42607021
-3.27301645
4.12974262
3.61101723
3.70798635
0.8509629

(the new scores) vs.:

7.346347
-0.308689833
-3.056211
-2.46506
-3.10131264
-2.99300337
4.336238
3.53593183
4.37107658
0.862161636

Do you think we can attribute these changes to a random seed change? Or should we investigate this further?


In reply to: 290953192 [](ancestors = 290953192)

@artidoroartidoroJun 10, 2019

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I think so! They look quite similar.


In reply to: 292166898 [](ancestors = 292166898,290953192)

@yaeldekelyaeldekel reopened this Jun 10, 2019

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:shipit:

@codemzs
codemzs requested review from codemzs, ganik and wschin and removed request for Ivanidzo4kaJune 17, 2019 17:14

@codemzscodemzs left a comment

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:shipit:

@codemzs
codemzs merged commit 4b0fa53 into dotnet:masterJul 1, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
…Trainers (dotnet#3796)
* Change ensembles trainer to work with ITrainerEstimators instead of ITrainers
* Use NumberParseOptions.UseSingle when comparing baselines
* Decrease number of digits of precision
* Decrease number of digits of precision in some tests
* Disable some tests on netcoreapp3.0
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Ensembles don't work

4 participants

@yaeldekel@codemzs@artidoro@yaeldMS
, '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('^' + ".*" + '
Skip to content

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers - #3796

Merged
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles
Jul 1, 2019
Merged

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers#3796
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles

Conversation

@yaeldekel

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This is needed for using ensembles with non-default values for the sub-trainers.
Fixes#3709 .

var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
Run_TrainTest(pa, TestDatasets.iris);
Done();
}

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I guess that these tests were taken from TLC. Did you have to regenerate the results or were they the same?

Copy link
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Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good question. I regenerated all the results, but I went back and compared them to the old baselines, and all but one were identical. The different one was for the CV case of the EnsemblesDefaultTest. The differences in the scores were something like this:

7.057208
-0.569736
-3.265584
-2.8438797
-3.42607021
-3.27301645
4.12974262
3.61101723
3.70798635
0.8509629

(the new scores) vs.:

7.346347
-0.308689833
-3.056211
-2.46506
-3.10131264
-2.99300337
4.336238
3.53593183
4.37107658
0.862161636

Do you think we can attribute these changes to a random seed change? Or should we investigate this further?


In reply to: 290953192 [](ancestors = 290953192)

@artidoroartidoroJun 10, 2019

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I think so! They look quite similar.


In reply to: 292166898 [](ancestors = 292166898,290953192)

@yaeldekelyaeldekel reopened this Jun 10, 2019

@artidoroartidoro left a comment

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:shipit:

@codemzs
codemzs requested review from codemzs, ganik and wschin and removed request for Ivanidzo4kaJune 17, 2019 17:14

@codemzscodemzs left a comment

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:shipit:

@codemzs
codemzs merged commit 4b0fa53 into dotnet:masterJul 1, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
…Trainers (dotnet#3796)
* Change ensembles trainer to work with ITrainerEstimators instead of ITrainers
* Use NumberParseOptions.UseSingle when comparing baselines
* Decrease number of digits of precision
* Decrease number of digits of precision in some tests
* Disable some tests on netcoreapp3.0
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Successfully merging this pull request may close these issues.

Ensembles don't work

4 participants

@yaeldekel@codemzs@artidoro@yaeldMS
, '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" + '
Skip to content

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers - #3796

Merged
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles
Jul 1, 2019
Merged

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers#3796
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles

Conversation

@yaeldekel

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This is needed for using ensembles with non-default values for the sub-trainers.
Fixes#3709 .

var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
Run_TrainTest(pa, TestDatasets.iris);
Done();
}

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I guess that these tests were taken from TLC. Did you have to regenerate the results or were they the same?

Copy link
Copy Markdown
Author

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Good question. I regenerated all the results, but I went back and compared them to the old baselines, and all but one were identical. The different one was for the CV case of the EnsemblesDefaultTest. The differences in the scores were something like this:

7.057208
-0.569736
-3.265584
-2.8438797
-3.42607021
-3.27301645
4.12974262
3.61101723
3.70798635
0.8509629

(the new scores) vs.:

7.346347
-0.308689833
-3.056211
-2.46506
-3.10131264
-2.99300337
4.336238
3.53593183
4.37107658
0.862161636

Do you think we can attribute these changes to a random seed change? Or should we investigate this further?


In reply to: 290953192 [](ancestors = 290953192)

@artidoroartidoroJun 10, 2019

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I think so! They look quite similar.


In reply to: 292166898 [](ancestors = 292166898,290953192)

@yaeldekelyaeldekel reopened this Jun 10, 2019

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:shipit:

@codemzs
codemzs requested review from codemzs, ganik and wschin and removed request for Ivanidzo4kaJune 17, 2019 17:14

@codemzscodemzs left a comment

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:shipit:

@codemzs
codemzs merged commit 4b0fa53 into dotnet:masterJul 1, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
…Trainers (dotnet#3796)
* Change ensembles trainer to work with ITrainerEstimators instead of ITrainers
* Use NumberParseOptions.UseSingle when comparing baselines
* Decrease number of digits of precision
* Decrease number of digits of precision in some tests
* Disable some tests on netcoreapp3.0
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Successfully merging this pull request may close these issues.

Ensembles don't work

4 participants

@yaeldekel@codemzs@artidoro@yaeldMS
, '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('^' + ".*" + '
Skip to content

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers - #3796

Merged
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles
Jul 1, 2019
Merged

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers#3796
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles

Conversation

@yaeldekel

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This is needed for using ensembles with non-default values for the sub-trainers.
Fixes#3709 .

var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
Run_TrainTest(pa, TestDatasets.iris);
Done();
}

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I guess that these tests were taken from TLC. Did you have to regenerate the results or were they the same?

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Good question. I regenerated all the results, but I went back and compared them to the old baselines, and all but one were identical. The different one was for the CV case of the EnsemblesDefaultTest. The differences in the scores were something like this:

7.057208
-0.569736
-3.265584
-2.8438797
-3.42607021
-3.27301645
4.12974262
3.61101723
3.70798635
0.8509629

(the new scores) vs.:

7.346347
-0.308689833
-3.056211
-2.46506
-3.10131264
-2.99300337
4.336238
3.53593183
4.37107658
0.862161636

Do you think we can attribute these changes to a random seed change? Or should we investigate this further?


In reply to: 290953192 [](ancestors = 290953192)

@artidoroartidoroJun 10, 2019

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I think so! They look quite similar.


In reply to: 292166898 [](ancestors = 292166898,290953192)

@yaeldekelyaeldekel reopened this Jun 10, 2019

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:shipit:

@codemzs
codemzs requested review from codemzs, ganik and wschin and removed request for Ivanidzo4kaJune 17, 2019 17:14

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:shipit:

@codemzs
codemzs merged commit 4b0fa53 into dotnet:masterJul 1, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
…Trainers (dotnet#3796)
* Change ensembles trainer to work with ITrainerEstimators instead of ITrainers
* Use NumberParseOptions.UseSingle when comparing baselines
* Decrease number of digits of precision
* Decrease number of digits of precision in some tests
* Disable some tests on netcoreapp3.0
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
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Ensembles don't work

4 participants

@yaeldekel@codemzs@artidoro@yaeldMS
, '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('^' + ".*" + '
Skip to content

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers - #3796

Merged
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles
Jul 1, 2019
Merged

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers#3796
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles

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@yaeldekel

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This is needed for using ensembles with non-default values for the sub-trainers.
Fixes#3709 .

var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
Run_TrainTest(pa, TestDatasets.iris);
Done();
}

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I guess that these tests were taken from TLC. Did you have to regenerate the results or were they the same?

Copy link
Copy Markdown
Author

Choose a reason for hiding this comment

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Good question. I regenerated all the results, but I went back and compared them to the old baselines, and all but one were identical. The different one was for the CV case of the EnsemblesDefaultTest. The differences in the scores were something like this:

7.057208
-0.569736
-3.265584
-2.8438797
-3.42607021
-3.27301645
4.12974262
3.61101723
3.70798635
0.8509629

(the new scores) vs.:

7.346347
-0.308689833
-3.056211
-2.46506
-3.10131264
-2.99300337
4.336238
3.53593183
4.37107658
0.862161636

Do you think we can attribute these changes to a random seed change? Or should we investigate this further?


In reply to: 290953192 [](ancestors = 290953192)

@artidoroartidoroJun 10, 2019

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I think so! They look quite similar.


In reply to: 292166898 [](ancestors = 292166898,290953192)

@yaeldekelyaeldekel reopened this Jun 10, 2019

@artidoroartidoro left a comment

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:shipit:

@codemzs
codemzs requested review from codemzs, ganik and wschin and removed request for Ivanidzo4kaJune 17, 2019 17:14

@codemzscodemzs left a comment

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:shipit:

@codemzs
codemzs merged commit 4b0fa53 into dotnet:masterJul 1, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
…Trainers (dotnet#3796)
* Change ensembles trainer to work with ITrainerEstimators instead of ITrainers
* Use NumberParseOptions.UseSingle when comparing baselines
* Decrease number of digits of precision
* Decrease number of digits of precision in some tests
* Disable some tests on netcoreapp3.0
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
Sign up for freeto subscribe to this conversation on GitHub. Already have an account? Sign in.

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Successfully merging this pull request may close these issues.

Ensembles don't work

4 participants

@yaeldekel@codemzs@artidoro@yaeldMS
, '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

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers - #3796

Merged
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles
Jul 1, 2019
Merged

Change ensembles trainer to work with ITrainerEstimators instead of ITrainers#3796
codemzs merged 5 commits into
dotnet:masterfrom
yaeldekel:ensembles

Conversation

@yaeldekel

Copy link
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This is needed for using ensembles with non-default values for the sub-trainers.
Fixes#3709 .

var pa = new PredictorAndArgs(new SubComponent("WeightedEnsembleMulticlass", "bp=mlr{t-} nm=20 st=BootstrapSelector{} tp=-"), "WE-Bootstrap");
Run_TrainTest(pa, TestDatasets.iris);
Done();
}

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I guess that these tests were taken from TLC. Did you have to regenerate the results or were they the same?

Copy link
Copy Markdown
Author

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Good question. I regenerated all the results, but I went back and compared them to the old baselines, and all but one were identical. The different one was for the CV case of the EnsemblesDefaultTest. The differences in the scores were something like this:

7.057208
-0.569736
-3.265584
-2.8438797
-3.42607021
-3.27301645
4.12974262
3.61101723
3.70798635
0.8509629

(the new scores) vs.:

7.346347
-0.308689833
-3.056211
-2.46506
-3.10131264
-2.99300337
4.336238
3.53593183
4.37107658
0.862161636

Do you think we can attribute these changes to a random seed change? Or should we investigate this further?


In reply to: 290953192 [](ancestors = 290953192)

@artidoroartidoroJun 10, 2019

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I think so! They look quite similar.


In reply to: 292166898 [](ancestors = 292166898,290953192)

@yaeldekelyaeldekel reopened this Jun 10, 2019

@artidoroartidoro left a comment

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:shipit:

@codemzs
codemzs requested review from codemzs, ganik and wschin and removed request for Ivanidzo4kaJune 17, 2019 17:14

@codemzscodemzs left a comment

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:shipit:

@codemzs
codemzs merged commit 4b0fa53 into dotnet:masterJul 1, 2019
Dmitry-A pushed a commit to Dmitry-A/machinelearning that referenced this pull request Jul 24, 2019
…Trainers (dotnet#3796)
* Change ensembles trainer to work with ITrainerEstimators instead of ITrainers
* Use NumberParseOptions.UseSingle when comparing baselines
* Decrease number of digits of precision
* Decrease number of digits of precision in some tests
* Disable some tests on netcoreapp3.0
@ghostghost locked as resolved and limited conversation to collaborators Mar 21, 2022
Sign up for freeto subscribe to this conversation on GitHub. Already have an account? Sign in.

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Successfully merging this pull request may close these issues.

Ensembles don't work

4 participants

@yaeldekel@codemzs@artidoro@yaeldMS