Github user mengxr commented on the issue:
https://github.com/apache/spark/pull/22328
That doesn't work for Java, if I remember the issue correctly.
On Tue, Sep 4, 2018, 10:31 PM Wenchen Fan <notificati...@github.com> wrote:
> *@cloud-fan* commented on this pull request.
> ------------------------------
>
> In
>
mllib/src/main/scala/org/apache/spark/ml/source/image/ImageDataSource.scala
> <https://github.com/apache/spark/pull/22328#discussion_r215140040>:
>
> > + *
> + * // Java
> + * Dataset<Row> df = spark.read().format("image")
> + * .option("dropImageFailures", "true")
> + * .load("data/mllib/images/imagesWithPartitions");
> + * }}}
> + *
> + * IMAGE data source supports the following options:
> + * - "dropImageFailures": Whether to drop the files that are not valid
images from the result.
> + *
> + * @note This IMAGE data source does not support "write".
> + *
> + * @note This class is public for documentation purpose. Please don't
use this class directly.
> + * Rather, use the data source API as illustrated above.
> + */
> +class ImageDataSource private() {}
>
> Is this a convention? AFAIK in the scala world we usually put document in
> package object.
>
> â
> You are receiving this because you were mentioned.
> Reply to this email directly, view it on GitHub
> <https://github.com/apache/spark/pull/22328#discussion_r215140040>, or
mute
> the thread
>
<https://github.com/notifications/unsubscribe-auth/AAyozMfwWO72FJuY89Yvq1Yl3L-oAOW6ks5uX2GtgaJpZM4WYrQ2>
> .
>
--
Xiangrui Meng
Software Engineer
Databricks Inc. [image: http://databricks.com] <http://databricks.com/>
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
