Github user HyukjinKwon commented on a diff in the pull request: https://github.com/apache/spark/pull/22675#discussion_r226164264 --- Diff: docs/ml-datasource.md --- @@ -0,0 +1,90 @@ +--- +layout: global +title: Data sources +displayTitle: Data sources +--- + +In this section, we introduce how to use data source in ML to load data. +Beside some general data sources like Parquet, CSV, JSON and JDBC, we also provide some specific data source for ML. + +**Table of Contents** + +* This will become a table of contents (this text will be scraped). +{:toc} + +## Image data source + +This image data source is used to load image files from a directory, it can load compressed image (jpeg, png, etc.) into raw image representation via ImageIO in Java library. +The loaded DataFrame has one StructType column: "image". containing image data stored as image schema. +The schema of the `image` column is: + - origin: String (represents the file path of the image) --- End diff -- I would use SQL types consistently, for instance, StringType, IntegerType
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