Manu Zhang

No.2 and No.3 could be caused by No.1 https://github.com/lightbend/genjavadoc/issues/133

Cluster configurations can be set in `conf/gear.conf`. User configurations can be loaded from any file and set to `UserConfig`

Akka message is at most once.

@imarios `TypedOneHotEncoder` is a `TypedEstimator` which generates a type-safe `TypedTransformer` with `fit`. The transformer from `TypedOneHotEncoder` requires `Int` as inputs and appended `Vector` in outputs which are checked at compile...

Any updates on this issue ?

The format is `tfrecords` and both `spark.read.format("tfrecords").load("path/to/*file.tfrecord")` and `spark.read.format("tfrecords").load("path/to/one-file.tfrecord,path/to/another-file.tfrecord")` work for me

How did you build your image dataset ? The reading code doesn't seem to use spark-tensorflow-connector

Can you load it back with `df.read` ?

Unless I don't know the schema and want to find out with `printSchema`

You can wrap request in a `Future` block