The Beam portability framework will enable this in Java too; not sure we
can do much sooner than that!
On Fri, Feb 24, 2017 at 3:33 PM, Amit Sela wrote:
> That's great! many people have asked me about that and I'm glad to see this
> happening.
> Anyone know if there's something at work for the J
That's great! many people have asked me about that and I'm glad to see this
happening.
Anyone know if there's something at work for the Java SDK (assuming I don't
want to wait for Fn API support) ?
On Fri, Feb 24, 2017 at 8:44 AM Jean-Baptiste Onofré
wrote:
> Fantastic !
>
> That's a great addit
Fantastic !
That's a great addition and awesome to see that with Beam !
Regards
JB
On 02/24/2017 02:51 AM, Robert Bradshaw wrote:
One thing I'm really excited about this library is that it allows one to
more easily express transforms on columnar data (which is useful beyond
just ML). For examp
One thing I'm really excited about this library is that it allows one to
more easily express transforms on columnar data (which is useful beyond
just ML). For example, if your input elements have two fields "x" and "y"
then you can write functions like
def preprocessing_fn(inputs):
x_centered
Beam and TensorFlow coming together -- a big deal for us!
On Thu, Feb 23, 2017 at 3:49 PM, Ahmet Altay
wrote:
> Hi all,
>
> Yesterday, there was an announcement from TensorFlow community about the
> new tf.Transform library [1]. It is a library that allows users to define
> pre-processing pipeli
Hi all,
Yesterday, there was an announcement from TensorFlow community about the
new tf.Transform library [1]. It is a library that allows users to define
pre-processing pipelines and run using large scale data processing
frameworks. It is a library specifically designed to work with Apache Beam.
