I also published a minimal boilerplate example on github for using
tf.Transform with Apache Beam & ML Engine
https://github.com/Fematich/tftransform-demo
with an accompanying blogpost:
https://cloud.google.com/blog/products/ai-machine-learning/pre-processing-tensorflow-pipelines-tftransform-google-cloud

Happy to share somewhere else, so that more people can start using
tf.Transform :-)!

Op do 6 sep. 2018 om 19:39 schreef David Cavazos <[email protected]>:

> There are several examples on using TFT on the cloudml-samples repo
> <https://github.com/GoogleCloudPlatform/cloudml-samples>. Particularly,
> I've been working on an end-to-end sample
> <https://github.com/GoogleCloudPlatform/cloudml-samples/tree/master/molecules>
> using Beam+TFT to do the preprocessing. I recently added another Beam
> pipeline to do both batch predictions and streaming predictions. It's not
> merged yet, but here's the PR
> <https://github.com/GoogleCloudPlatform/cloudml-samples/pull/240> for the
> new version if anyone is interested.
>
> I'll be updating the README to include links to our existing samples as
> well as external samples.
>
> On Wed, Sep 5, 2018 at 1:59 AM Alexey Romanenko <[email protected]>
> wrote:
>
>> +1
>> Perhaps, it would be also helpful to add a small “get started” example to
>> attract user attention.
>>
>>
>> On 5 Sep 2018, at 02:16, Ahmet Altay <[email protected]> wrote:
>>
>> +1
>>
>> It would be nice to showcase other tools built on top of Beam.
>>
>> On Mon, Aug 20, 2018 at 1:02 PM, Ankur Goenka <[email protected]> wrote:
>>
>>> +1
>>> Adding to Thomas's suggestion, we can also add the future plans to keep
>>> people excited about what's in store.
>>>
>>>
>>> On Mon, Aug 20, 2018 at 11:09 AM Thomas Weise <[email protected]> wrote:
>>>
>>>> +1
>>>>
>>>> It would also be helpful to mention important current restrictions wrt
>>>> availability on runners, etc.
>>>>
>>>> On Mon, Aug 20, 2018 at 10:45 AM Pascal Gula <[email protected]>
>>>> wrote:
>>>>
>>>>> fully agree!
>>>>>
>>>>> On Mon, Aug 20, 2018 at 7:23 PM, Rui Wang <[email protected]> wrote:
>>>>>
>>>>>> +1 to add it on Beam website.
>>>>>>
>>>>>>
>>>>>>
>>>>>> -Rui
>>>>>>
>>>>>> On Mon, Aug 20, 2018 at 10:15 AM Pablo Estrada <[email protected]>
>>>>>> wrote:
>>>>>>
>>>>>>> Other projects mention their ML / Graph / misc tooling libraries in
>>>>>>> their websites.
>>>>>>> It may be good for Beam to direct people to use Tensorflow
>>>>>>> Transform[1] if they want to use beam for ML?
>>>>>>> What do people think?
>>>>>>>
>>>>>>> Best
>>>>>>> -P.
>>>>>>>
>>>>>>> [1] https://www.tensorflow.org/tfx/transform/
>>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> --
>>>>>
>>>>> Pascal Gula
>>>>> Senior Data Engineer / Scientist+49 (0)176 34232684 
>>>>> <+49%20176%2034232684>www.plantix.net <http://plantix.net/>
>>>>>  PEAT GmbHKastanienallee 4
>>>>> 10435 Berlin // Germany 
>>>>> <https://maps.google.com/?q=Kastanienallee+4%0D%0A10435+Berlin+//+Germany&entry=gmail&source=g>
>>>>>  
>>>>> <https://play.google.com/store/apps/details?id=com.peat.GartenBank>Download
>>>>>  the App! 
>>>>> <https://play.google.com/store/apps/details?id=com.peat.GartenBank>
>>>>>
>>>>>
>>
>> --

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