[krish240574]

I was able to  pip install pykx without credentials and it works fine. (I guess maybe because pykx was recently opensourced).
That leaves the mystery of the pip install kxi…

 

[krish240574]

Thanks,  !

Krishna

[krish240574]

Just a quick clarification, can I use the docker images if I’m using the KDB Insights Personal Edition? Or is it only for commercial licenses? I’m confused by the following :

https://code.kx.com/insights/1.5/insights-freetrial.html

Krishna

[krish240574]

Nope, I’m not – how do I sign up? I can only see a sign in link.
Thanks for the prompt response !

Krishna

[krish240574]

Yup, I’ve received my license via email and have q installed. I received the link to download l64.zip in an email.
When I click the Nexus link on the download instruction page at :

https://code.kx.com/insights/1.5/core/install.html#license , I get a popup message saying :
undefined (kx-insights-package) not found. Is this because I’m not signed in?

How do I sign up for Nexus access?

Thanks,

Krishna

[krish240574]

I have a new error now:
when I run $QHOME/l64/q, I get the following :

KDB+ 4.0 Cloud Edition 2023.01.20 Copyright (C) 1993-2023 Kx Systems
l64/ 2(24)core 5847MB root ubuntu 127.0.1.1 EXPIRE *****************************************************.com

‘type
[2] (/root/q/q.k:261)

What could be causing this? This q came from the l64.zip that I downloaded from the link I got in an email.

Krishna

[krish240574]

Never mind, I think I got it running, there was a import from the gsutil distribute that was messing up things.
Lucky find !
Thank you for the kind advice.

Krishna

[krish240574]

Thanks a ton for the detailed replies, @rocuinneagain. I see that I was making a couple of errors:

1. Using all the tensorflow function calls with “<” included, i.e intending to get them to return q. I’m much better off leaving them without the “<“, – using them as a default embedpy  , as mentioned here :

https://code.kx.com/q/ml/embedpy/userguide/#function-calls

2. Doing a .p.eval”Time2Vec(2)” – causes the following warning:

WARNING:tensorflow:AutoGraph could not transform <bound method Time2Vec.call of <__main__.Time2Vec object at 0x7fbf09ad6160>> and will run it as-is.
Cause: Unable to locate the source code of <bound method Time2Vec.call of <__main__.Time2Vec object at 0x7fbf09ad6160>>. Note that functions defined in certain environments, like the interactive Python shell, do not expose their source code. If that is the case, you should define them in a .py source file. If you are certain the code is graph-compatible, wrap the call using @tf.autograph.experimental.do_not_convert. Original error: source code not available
To silence this warning, decorate the function with @tf.autograph.experimental.do_not_convert

 

Which I avoided using the following:(

(.p.get`Time2Vec)[2] – seems strange, that the .p.eval should cause that warning, which the .p.get `Time2Vec does not.

I

I’ll read the documentation again.

 

Cheers,

Krishna