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Add release notes for ML.NET 0.1 #37
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This initial release contains core ML.NET components for enabling machine learning pipelines: | ||
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* 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
* 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
Install-Package Microsoft.ML | ||
``` | ||
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### 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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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.
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
@@ -0,0 +1,39 @@ | |||
# ML.NET 0.1 Release Notes | |||
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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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I attempted to address the minor feedback and pushed an update. Does this look OK? I did not address 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. |
LGTM In reply to: 386952126 [](ancestors = 386952126) |
This adds the release notes for ML.NET 0.1.
This fixes #36 .