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Clean metadata for ML Server articles
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‎docs/includes/machine-learning-server-retirement.md‎

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ms.date: 10/06/2022
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ms.prod: mlserver
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ms.prod: sql
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‎docs/machine-learning/r/reference/microsoftml/categorical.md‎

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---
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# required metadata
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title: "categorical function (MicrosoftML) "
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description: " Categorical transform that can be performed on data before training a model. "
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keywords: "(MicrosoftML), categorical, transform"
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---
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title: "categorical function (MicrosoftML)"
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description: "Categorical transform that can be performed on data before training a model."
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author: "rothja"
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ms.author: "jroth"
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manager: "cgronlun"
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ms.author: "jroth"
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ms.date: 07/15/2019
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ms.topic: "reference"
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ms.prod: "mlserver"
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ms.service: ""
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# optional metadata
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ROBOTS: ""
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audience: ""
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keywords: (MicrosoftML), categorical, transform
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# categorical: Machine Learning Categorical Data Transform

‎docs/machine-learning/r/reference/microsoftml/categoricalhash.md‎

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# required metadata
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title: "categoricalHash function (MicrosoftML) "
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description: " Categorical hash transform that can be performed on data before training a model. "
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keywords: "(MicrosoftML), categoricalHash, transform"
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---
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title: "categoricalHash function (MicrosoftML)"
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description: "Categorical hash transform that can be performed on data before training a model."
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author: "rothja"
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manager: "cgronlun"
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ms.author: "jroth"
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ms.date: 07/15/2019
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ms.prod: "mlserver"
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ms.service: ""
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audience: ""
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keywords: (MicrosoftML), categoricalHash, transform
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# categoricalHash: Machine Learning Categorical HashData Transform

‎docs/machine-learning/r/reference/microsoftml/concat.md‎

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title: "concat function (MicrosoftML) "
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description: " Combines several columns into a single vector-valued column. "
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keywords: "(MicrosoftML), concat, transform"
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---
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title: "concat function (MicrosoftML)"
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description: "Combines several columns into a single vector-valued column (MicrosoftML)."
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author: "rothja"
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audience: ""
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keywords: (MicrosoftML), concat, transform
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# concat: Machine Learning Concat Transform

‎docs/machine-learning/r/reference/microsoftml/dropcolumns.md‎

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title: "dropColumns function (MicrosoftML) "
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description: " Specified columns to drop from the dataset. "
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keywords: "(MicrosoftML), dropColumns, transform"
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---
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title: "dropColumns function (MicrosoftML)"
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description: "Specified columns to drop from the dataset (MicrosoftML)."
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author: "rothja"
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keywords: (MicrosoftML), dropColumns, transform
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# dropColumns: Drops columns from the dataset

‎docs/machine-learning/r/reference/microsoftml/ensemblecontrol.md‎

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title: "ensembleControl function (MicrosoftML) "
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description: " Control the parameters used to create an ensemble. "
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keywords: "(MicrosoftML), ensembleControl"
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---
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title: "ensembleControl function (MicrosoftML)"
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description: "Control the parameters used to create an ensemble."
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# ensembleControl: ensembleControl

‎docs/machine-learning/r/reference/microsoftml/extractpixels.md‎

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title: "extractPixels function (MicrosoftML) "
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description: " Extracts the pixel values from an image. "
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keywords: "(MicrosoftML), extractPixels, image, transform"
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---
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title: "extractPixels function (MicrosoftML)"
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description: "Extracts the pixel values from an image (MicrosoftML)."
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# extractPixels: Machine Learning Extract Pixel Data Transform

‎docs/machine-learning/r/reference/microsoftml/fastforest.md‎

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title: "fastForest function (MicrosoftML) "
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description: " Creates a list containing the function name and arguments to train a FastForest model with [rxEnsemble](rxEnsemble.md). "
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keywords: "(MicrosoftML), fastForest"
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---
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title: "fastForest function (MicrosoftML)"
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description: "Creates a list containing the function name and arguments to train a FastForest model with rxEnsemble."
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keywords: (MicrosoftML), fastForest
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# fastForest: fastForest

‎docs/machine-learning/r/reference/microsoftml/fastlinear.md‎

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title: "fastLinear function (MicrosoftML) "
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description: " Creates a list containing the function name and arguments to train a Fast Linear model with [rxEnsemble](rxEnsemble.md). "
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keywords: "(MicrosoftML), fastLinear"
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---
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title: "fastLinear function (MicrosoftML) "
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description: "Creates a list containing the function name and arguments to train a Fast Linear model with rxEnsemble."
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keywords: (MicrosoftML), fastLinear
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# fastLinear: fastLinear

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