What we can do is get into the habit of compiling the list on LinkedIn but
making sure this list is shared and broadcast here, eh?!
As well, when we broadcast the videos, we can do this using zoom/jitsi/
riverside.fm as well as simulcasting this on LinkedIn. This way you can
view directly on the
Hi Mich, this doesn't seem to be working for me .. the watermark seems to
be getting ignored !
Here is the data put into Kafka :
```
+---++
|value
|key |
Understood Nitin It would be wrong to act against one's conviction. I am
sure we can find a way around providing the contents
Regards
Mich Talebzadeh,
Lead Solutions Architect/Engineering Lead
Palantir Technologies Limited
view my Linkedin profile
Hi Nitin,
Linkedin is more of a professional media. FYI, I am only a member of
Linkedin, no facebook, etc.There is no reason for you NOT to create a
profile for yourself in linkedin :)
https://www.linkedin.com/help/linkedin/answer/a1338223/sign-up-to-join-linkedin?lang=en
see you there as
Great.
A case that I hope can be better documented, especially now that we have
Pandas API on Spark and many potential new users coming from Pandas.
Is how to start Spark with full available memory and CPU.
I use this function to do this in a notebook.
import multiprocessing
import os
import sys
Thanks Mich for tackling this! I encourage everyone to add to the list so
we can have a comprehensive list of topics, eh?!
On Wed, Mar 15, 2023 at 10:27 Mich Talebzadeh
wrote:
> Hi all,
>
> Thanks to @Denny Lee to give access to
>
> https://www.linkedin.com/company/apachespark/
>
> and
Hi all,
Thanks to @Denny Lee to give access to
https://www.linkedin.com/company/apachespark/
and contribution from @asma zgolli
You will see my post at the bottom. Please add anything else on topics to
the list as a comment.
We will then put them together in an article perhaps. Comments
Pickle won't work. But the others should. I think you are specifying an
invalid path in both cases but hard to say without more detail
On Wed, Mar 15, 2023, 9:13 AM Mnisi, Caleb
wrote:
> Good Day
>
>
>
> I am having trouble saving a spark.ml Pipeline model to a pickle file,
> when running
Good Day
I am having trouble saving a spark.ml Pipeline model to a pickle file, when
running locally on my PC.
I've tried a few ways to save the model:
1. mlflow.spark.log_model(artifact_path=experiment.artifact_location,
spark_model= model, registered_model_name="myModel")
* with
