Add release notes for ML.NET 0.1 - #37

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Add release notes for ML.NET 0.1#37
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@GalOshriGalOshri commented May 6, 2018

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This adds the release notes for ML.NET 0.1.

This fixes#36 .

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Comment threadDocumentation/release-notes/0.1/release-0.1.md Outdated
This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)

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text [](start = 34, length = 4)

from a delimited text file #Resolved

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Comment threadDocumentation/release-notes/0.1/release-0.1.md Outdated
* Binary classification: `FastTreeBinaryClassifier`, `StochasticDualCoordinateAscentBinaryClassifier`, `AveragedPerceptronBinaryClassifier`, `BinaryLogisticRegressor`, `FastForestBinaryClassifier`, `LinearSvmBinaryClassifier`, and `GeneralizedAdditiveModelBinaryClassifier`
* Multiclass classification: `StochasticDualCoordinateAscentClassifier`, `LogisticRegressor`, and`NaiveBayesClassifier`
* Regression: `FastTreeRegressor`, `FastTreeTweedieRegressor`, `StochasticDualCoordinateAscentRegressor`, `OrdinaryLeastSquaresRegressor`, `OnlineGradientDescentRegressor`, `PoissonRegressor`, and `GeneralizedAdditiveModelRegressor`
* Evaluators (to check the model works well):

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to check the model works well [](start = 14, length = 29)

To check how well does the model perform #Resolved

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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Install-Package Microsoft.ML
```

### Release Notes

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Release Notes [](start = 3, length = 14)

Please add pointers to samples, documentation and known issues. #Pending

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Comment threadDocumentation/release-notes/0.1/release-0.1.md

You can install ML.NET NuGet from the CLI using:
```
dotnet add package Microsoft.ML

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e Microsoft.ML [](start = 17, length = 14)

mention prerequisites and supported platforms #Resolved

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LGTM, I left some nits.

Comment threadDocumentation/release-notes/0.1/release-0.1.md Outdated
This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)

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Comment threadDocumentation/release-notes/0.1/release-0.1.md Outdated
@@ -0,0 +1,39 @@
# ML.NET 0.1 Release Notes

ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback!

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Maybe add statements about what we want people to try? E.g. try to use one of our samples to solve a problem you have, and then tell us how it went?

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:shipit:

@danmoseley

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I attempted to address the minor feedback and pushed an update. Does this look OK?

I did not address Please add pointers to samples, documentation and known issues. but this seems enough to commit as a start?

BTW @GalOshri your PR was against your fork's master. That is almost certainly not what you intended 😺 Generally once you fork, the master of your fork is not used.

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LGTM

In reply to: 386952126 [](ancestors = 386952126)

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Add release notes for ML.NET 0.1 - #37
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Add release notes for ML.NET 0.1#37
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This adds the release notes for ML.NET 0.1.
This fixes#36 .
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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text [](start = 34, length = 4)
from a delimited text file #Resolved
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

 * Binary classification: `FastTreeBinaryClassifier`, `StochasticDualCoordinateAscentBinaryClassifier`, `AveragedPerceptronBinaryClassifier`, `BinaryLogisticRegressor`, `FastForestBinaryClassifier`, `LinearSvmBinaryClassifier`, and `GeneralizedAdditiveModelBinaryClassifier`
 * Multiclass classification: `StochasticDualCoordinateAscentClassifier`, `LogisticRegressor`, and`NaiveBayesClassifier`
 * Regression: `FastTreeRegressor`, `FastTreeTweedieRegressor`, `StochasticDualCoordinateAscentRegressor`, `OrdinaryLeastSquaresRegressor`, `OnlineGradientDescentRegressor`, `PoissonRegressor`, and `GeneralizedAdditiveModelRegressor`
* Evaluators (to check the model works well):
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to check the model works well [](start = 14, length = 29)
To check how well does the model perform #Resolved
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Install-Package Microsoft.ML
```

### Release Notes
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Release Notes [](start = 3, length = 14)
Please add pointers to samples, documentation and known issues. #Pending
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md

You can install ML.NET NuGet from the CLI using:
```
dotnet add package Microsoft.ML
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e Microsoft.ML [](start = 17, length = 14)
mention prerequisites and supported platforms #Resolved
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LGTM, I left some nits.
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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TextLoader
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

@@ -0,0 +1,39 @@
# ML.NET 0.1 Release Notes

ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback!
@markusweimermarkusweimerMay 7, 2018

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Maybe add statements about what we want people to try? E.g. try to use one of our samples to solve a problem you have, and then tell us how it went?
glebuk
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:shipit:
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I attempted to address the minor feedback and pushed an update. Does this look OK?
I did not address Please add pointers to samples, documentation and known issues. but this seems enough to commit as a start?
BTW @GalOshri your PR was against your fork's master. That is almost certainly not what you intended 😺 Generally once you fork, the master of your fork is not used.
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LGTM
In reply to: 386952126 [](ancestors = 386952126)
@shauheen
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Add release notes for ML.NET 0.1 - #37
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Add release notes for ML.NET 0.1#37
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This adds the release notes for ML.NET 0.1.
This fixes#36 .
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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text [](start = 34, length = 4)
from a delimited text file #Resolved
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

 * Binary classification: `FastTreeBinaryClassifier`, `StochasticDualCoordinateAscentBinaryClassifier`, `AveragedPerceptronBinaryClassifier`, `BinaryLogisticRegressor`, `FastForestBinaryClassifier`, `LinearSvmBinaryClassifier`, and `GeneralizedAdditiveModelBinaryClassifier`
 * Multiclass classification: `StochasticDualCoordinateAscentClassifier`, `LogisticRegressor`, and`NaiveBayesClassifier`
 * Regression: `FastTreeRegressor`, `FastTreeTweedieRegressor`, `StochasticDualCoordinateAscentRegressor`, `OrdinaryLeastSquaresRegressor`, `OnlineGradientDescentRegressor`, `PoissonRegressor`, and `GeneralizedAdditiveModelRegressor`
* Evaluators (to check the model works well):
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to check the model works well [](start = 14, length = 29)
To check how well does the model perform #Resolved
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Install-Package Microsoft.ML
```

### Release Notes
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Release Notes [](start = 3, length = 14)
Please add pointers to samples, documentation and known issues. #Pending
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md

You can install ML.NET NuGet from the CLI using:
```
dotnet add package Microsoft.ML
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e Microsoft.ML [](start = 17, length = 14)
mention prerequisites and supported platforms #Resolved
markusweimer
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LGTM, I left some nits.
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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TextLoader
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

@@ -0,0 +1,39 @@
# ML.NET 0.1 Release Notes

ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback!
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Maybe add statements about what we want people to try? E.g. try to use one of our samples to solve a problem you have, and then tell us how it went?
glebuk
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:shipit:
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I attempted to address the minor feedback and pushed an update. Does this look OK?
I did not address Please add pointers to samples, documentation and known issues. but this seems enough to commit as a start?
BTW @GalOshri your PR was against your fork's master. That is almost certainly not what you intended 😺 Generally once you fork, the master of your fork is not used.
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LGTM
In reply to: 386952126 [](ancestors = 386952126)
@shauheen
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Add release notes for ML.NET 0.1 - #37
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Add release notes for ML.NET 0.1#37
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This adds the release notes for ML.NET 0.1.
This fixes#36 .
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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text [](start = 34, length = 4)
from a delimited text file #Resolved
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

 * Binary classification: `FastTreeBinaryClassifier`, `StochasticDualCoordinateAscentBinaryClassifier`, `AveragedPerceptronBinaryClassifier`, `BinaryLogisticRegressor`, `FastForestBinaryClassifier`, `LinearSvmBinaryClassifier`, and `GeneralizedAdditiveModelBinaryClassifier`
 * Multiclass classification: `StochasticDualCoordinateAscentClassifier`, `LogisticRegressor`, and`NaiveBayesClassifier`
 * Regression: `FastTreeRegressor`, `FastTreeTweedieRegressor`, `StochasticDualCoordinateAscentRegressor`, `OrdinaryLeastSquaresRegressor`, `OnlineGradientDescentRegressor`, `PoissonRegressor`, and `GeneralizedAdditiveModelRegressor`
* Evaluators (to check the model works well):
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to check the model works well [](start = 14, length = 29)
To check how well does the model perform #Resolved
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Install-Package Microsoft.ML
```

### Release Notes
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Release Notes [](start = 3, length = 14)
Please add pointers to samples, documentation and known issues. #Pending
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Comment threadDocumentation/release-notes/0.1/release-0.1.md

You can install ML.NET NuGet from the CLI using:
```
dotnet add package Microsoft.ML
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e Microsoft.ML [](start = 17, length = 14)
mention prerequisites and supported platforms #Resolved
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LGTM, I left some nits.
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

@@ -0,0 +1,39 @@
# ML.NET 0.1 Release Notes

ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback!
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Maybe add statements about what we want people to try? E.g. try to use one of our samples to solve a problem you have, and then tell us how it went?
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:shipit:
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I attempted to address the minor feedback and pushed an update. Does this look OK?
I did not address Please add pointers to samples, documentation and known issues. but this seems enough to commit as a start?
BTW @GalOshri your PR was against your fork's master. That is almost certainly not what you intended 😺 Generally once you fork, the master of your fork is not used.
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LGTM
In reply to: 386952126 [](ancestors = 386952126)
@shauheen
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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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Add release notes for ML.NET 0.1 - #37
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Add release notes for ML.NET 0.1#37
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This adds the release notes for ML.NET 0.1.
This fixes#36 .
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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text [](start = 34, length = 4)
from a delimited text file #Resolved
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

 * Binary classification: `FastTreeBinaryClassifier`, `StochasticDualCoordinateAscentBinaryClassifier`, `AveragedPerceptronBinaryClassifier`, `BinaryLogisticRegressor`, `FastForestBinaryClassifier`, `LinearSvmBinaryClassifier`, and `GeneralizedAdditiveModelBinaryClassifier`
 * Multiclass classification: `StochasticDualCoordinateAscentClassifier`, `LogisticRegressor`, and`NaiveBayesClassifier`
 * Regression: `FastTreeRegressor`, `FastTreeTweedieRegressor`, `StochasticDualCoordinateAscentRegressor`, `OrdinaryLeastSquaresRegressor`, `OnlineGradientDescentRegressor`, `PoissonRegressor`, and `GeneralizedAdditiveModelRegressor`
* Evaluators (to check the model works well):
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to check the model works well [](start = 14, length = 29)
To check how well does the model perform #Resolved
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Install-Package Microsoft.ML
```

### Release Notes
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Release Notes [](start = 3, length = 14)
Please add pointers to samples, documentation and known issues. #Pending
glebuk
glebuk
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May 7, 2018
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Comment threadDocumentation/release-notes/0.1/release-0.1.md

You can install ML.NET NuGet from the CLI using:
```
dotnet add package Microsoft.ML
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e Microsoft.ML [](start = 17, length = 14)
mention prerequisites and supported platforms #Resolved
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LGTM, I left some nits.
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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TextLoader
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

@@ -0,0 +1,39 @@
# ML.NET 0.1 Release Notes

ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback!
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Maybe add statements about what we want people to try? E.g. try to use one of our samples to solve a problem you have, and then tell us how it went?
glebuk
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:shipit:
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I attempted to address the minor feedback and pushed an update. Does this look OK?
I did not address Please add pointers to samples, documentation and known issues. but this seems enough to commit as a start?
BTW @GalOshri your PR was against your fork's master. That is almost certainly not what you intended 😺 Generally once you fork, the master of your fork is not used.
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LGTM
In reply to: 386952126 [](ancestors = 386952126)
@shauheen
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, '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
Add release notes for ML.NET 0.1 - #37
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dotnet:masterfrom 
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Add release notes for ML.NET 0.1#37
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This adds the release notes for ML.NET 0.1.
This fixes#36 .
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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text [](start = 34, length = 4)
from a delimited text file #Resolved
glebuk
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

 * Binary classification: `FastTreeBinaryClassifier`, `StochasticDualCoordinateAscentBinaryClassifier`, `AveragedPerceptronBinaryClassifier`, `BinaryLogisticRegressor`, `FastForestBinaryClassifier`, `LinearSvmBinaryClassifier`, and `GeneralizedAdditiveModelBinaryClassifier`
 * Multiclass classification: `StochasticDualCoordinateAscentClassifier`, `LogisticRegressor`, and`NaiveBayesClassifier`
 * Regression: `FastTreeRegressor`, `FastTreeTweedieRegressor`, `StochasticDualCoordinateAscentRegressor`, `OrdinaryLeastSquaresRegressor`, `OnlineGradientDescentRegressor`, `PoissonRegressor`, and `GeneralizedAdditiveModelRegressor`
* Evaluators (to check the model works well):
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to check the model works well [](start = 14, length = 29)
To check how well does the model perform #Resolved
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Install-Package Microsoft.ML
```

### Release Notes
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Release Notes [](start = 3, length = 14)
Please add pointers to samples, documentation and known issues. #Pending
glebuk
glebuk
reviewed
May 7, 2018
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Comment threadDocumentation/release-notes/0.1/release-0.1.md

You can install ML.NET NuGet from the CLI using:
```
dotnet add package Microsoft.ML
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e Microsoft.ML [](start = 17, length = 14)
mention prerequisites and supported platforms #Resolved
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LGTM, I left some nits.
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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TextLoader
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

@@ -0,0 +1,39 @@
# ML.NET 0.1 Release Notes

ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback!
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Maybe add statements about what we want people to try? E.g. try to use one of our samples to solve a problem you have, and then tell us how it went?
glebuk
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:shipit:
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I attempted to address the minor feedback and pushed an update. Does this look OK?
I did not address Please add pointers to samples, documentation and known issues. but this seems enough to commit as a start?
BTW @GalOshri your PR was against your fork's master. That is almost certainly not what you intended 😺 Generally once you fork, the master of your fork is not used.
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LGTM
In reply to: 386952126 [](ancestors = 386952126)
@shauheen
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, '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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Add release notes for ML.NET 0.1 - #37
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dotnet:masterfrom 
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Add release notes for ML.NET 0.1#37
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This adds the release notes for ML.NET 0.1.
This fixes#36 .
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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text [](start = 34, length = 4)
from a delimited text file #Resolved
glebuk
glebuk
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View reviewed changes
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

 * Binary classification: `FastTreeBinaryClassifier`, `StochasticDualCoordinateAscentBinaryClassifier`, `AveragedPerceptronBinaryClassifier`, `BinaryLogisticRegressor`, `FastForestBinaryClassifier`, `LinearSvmBinaryClassifier`, and `GeneralizedAdditiveModelBinaryClassifier`
 * Multiclass classification: `StochasticDualCoordinateAscentClassifier`, `LogisticRegressor`, and`NaiveBayesClassifier`
 * Regression: `FastTreeRegressor`, `FastTreeTweedieRegressor`, `StochasticDualCoordinateAscentRegressor`, `OrdinaryLeastSquaresRegressor`, `OnlineGradientDescentRegressor`, `PoissonRegressor`, and `GeneralizedAdditiveModelRegressor`
* Evaluators (to check the model works well):
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to check the model works well [](start = 14, length = 29)
To check how well does the model perform #Resolved
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Install-Package Microsoft.ML
```

### Release Notes
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Release Notes [](start = 3, length = 14)
Please add pointers to samples, documentation and known issues. #Pending
glebuk
glebuk
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May 7, 2018
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Comment threadDocumentation/release-notes/0.1/release-0.1.md

You can install ML.NET NuGet from the CLI using:
```
dotnet add package Microsoft.ML
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e Microsoft.ML [](start = 17, length = 14)
mention prerequisites and supported platforms #Resolved
markusweimer
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LGTM, I left some nits.
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
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TextLoader
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

@@ -0,0 +1,39 @@
# ML.NET 0.1 Release Notes

ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback!
@markusweimermarkusweimerMay 7, 2018

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Maybe add statements about what we want people to try? E.g. try to use one of our samples to solve a problem you have, and then tell us how it went?
glebuk
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:shipit:
@danmoseley
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I attempted to address the minor feedback and pushed an update. Does this look OK?
I did not address Please add pointers to samples, documentation and known issues. but this seems enough to commit as a start?
BTW @GalOshri your PR was against your fork's master. That is almost certainly not what you intended 😺 Generally once you fork, the master of your fork is not used.
@glebuk
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LGTM
In reply to: 386952126 [](ancestors = 386952126)
@shauheen
shauheen
merged commit 0ba22f1
into
dotnet:masterMay 7, 2018
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Mar 31, 2022
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Add release notes for ML.NET 0.1


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@GalOshri@dnfclas@danmoseley@glebuk@markusweimer@shauheen

, '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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Add release notes for ML.NET 0.1 - #37
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shauheen merged 3 commits into
dotnet:masterfrom 
GalOshri:master
May 7, 2018
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Add release notes for ML.NET 0.1#37
shauheen merged 3 commits into
dotnet:masterfrom 
GalOshri:master
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@GalOshri
@GalOshriGalOshri
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May 6, 2018

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This adds the release notes for ML.NET 0.1.
This fixes#36 .
@dnfclas
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May 6, 2018•

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CLA assistant check
All CLA requirements met.
glebuk
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
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This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
@glebukglebukMay 7, 2018•

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text [](start = 34, length = 4)
from a delimited text file #Resolved
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
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 * Binary classification: `FastTreeBinaryClassifier`, `StochasticDualCoordinateAscentBinaryClassifier`, `AveragedPerceptronBinaryClassifier`, `BinaryLogisticRegressor`, `FastForestBinaryClassifier`, `LinearSvmBinaryClassifier`, and `GeneralizedAdditiveModelBinaryClassifier`
 * Multiclass classification: `StochasticDualCoordinateAscentClassifier`, `LogisticRegressor`, and`NaiveBayesClassifier`
 * Regression: `FastTreeRegressor`, `FastTreeTweedieRegressor`, `StochasticDualCoordinateAscentRegressor`, `OrdinaryLeastSquaresRegressor`, `OnlineGradientDescentRegressor`, `PoissonRegressor`, and `GeneralizedAdditiveModelRegressor`
* Evaluators (to check the model works well):
@glebukglebukMay 7, 2018•

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to check the model works well [](start = 14, length = 29)
To check how well does the model perform #Resolved
glebuk
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md
Install-Package Microsoft.ML
```

### Release Notes
@glebukglebukMay 7, 2018•

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Release Notes [](start = 3, length = 14)
Please add pointers to samples, documentation and known issues. #Pending
glebuk
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Comment threadDocumentation/release-notes/0.1/release-0.1.md

You can install ML.NET NuGet from the CLI using:
```
dotnet add package Microsoft.ML
@glebukglebukMay 7, 2018•

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e Microsoft.ML [](start = 17, length = 14)
mention prerequisites and supported platforms #Resolved
markusweimer
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LGTM, I left some nits.
Comment threadDocumentation/release-notes/0.1/release-0.1.md
Outdated

This initial release contains core ML.NET components for enabling machine learning pipelines:

* ML Data Structures (e.g. `IDataView`, `LearningPipeline`)
* TextLoader (loading data from a text file into a `LearningPipeline`)
@markusweimermarkusweimerMay 7, 2018

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TextLoader
Comment threadDocumentation/release-notes/0.1/release-0.1.md
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@@ -0,0 +1,39 @@
# ML.NET 0.1 Release Notes

ML.NET 0.1 is the first preview release of ML.NET. Thank you for trying it out and we look forward to your feedback!
@markusweimermarkusweimerMay 7, 2018

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Maybe add statements about what we want people to try? E.g. try to use one of our samples to solve a problem you have, and then tell us how it went?
glebuk
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:shipit:
@danmoseley
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May 7, 2018

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I attempted to address the minor feedback and pushed an update. Does this look OK?
I did not address Please add pointers to samples, documentation and known issues. but this seems enough to commit as a start?
BTW @GalOshri your PR was against your fork's master. That is almost certainly not what you intended 😺 Generally once you fork, the master of your fork is not used.
@glebuk
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LGTM
In reply to: 386952126 [](ancestors = 386952126)
@shauheen
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@shauheenshauheenAwaiting requested review from shauheen
@danmoseleydanmoseleyAwaiting requested review from danmoseley

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@markusweimermarkusweimermarkusweimer approved these changes
@glebukglebukglebuk approved these changes
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Add release notes for ML.NET 0.1


6 participants

@GalOshri@dnfclas@danmoseley@glebuk@markusweimer@shauheen