For migration from ray 0.x to ray 1.x, ray.rllib.models.Model must be replaced with ray.rllib.models.ModelV2.
Are there any migration guidelines describing how to do this properly?
Thank you.
There are none.
https://github.com/ray-project/ray/issues/29724#issuecomment-1292777342
However, specific questions can be asked on the forum.
Related
in the current Documentation of Optaplanner (7.40.0.Final) it says:
"The easiest way to explain the score during development is to print the return value of explainScore()"
When I create a scoreManager it doesn't have the method explainScore()
How do I get the explanation of the score in the Terminal? Where do I have to call the scoreManager?
I am working with Quarkus and my problem is very similar to the TimeTabling Problem.
Best regards and thank you in advance
Justin
Are you using the version coming with the Quarkus Platform BOM? Because in this case, it's 7.39.0.Final and that could explain your issue.
You can define the version yourself and upgrade to 7.40.0.Final. It might work, Geoffrey would be able to confirm.
He will also be able to tell you if he plans to upgrade Quarkus to 7.40.0.Final for 1.7.
That method was introduce recently. OptaPlanner 7.40.0.Final, the same version as the docs you're reading, definitely has it:
https://github.com/kiegroup/optaplanner/blob/7.40.0.Final/optaplanner-core/src/main/java/org/optaplanner/core/api/score/ScoreManager.java#L81
I am studying unit testing for quasar framework now.
But I have not clear about vue-jest and jest-vue.
Please help me what the difference is? thank you.
These packages are from the same author. jest-vue was deprecated in favour of vue-jest.
As the description states,
DEPRECATED
this package has been renamed to vue-jest
Since it's older, jest-vue may not have all features of vue-jest.
I am new to tensorflow. While I was reading the CNN tutorial, I found a broken link to a deprecated method image_summary.
What is the best practice to follow in such situation?
Shall I try to inform the tensorflow team about the broken links in their tutorials?
if so, what is the best channel to do so?
How shall I find the best alternative to the deprecated method in their latest release?
The safest way might be a quick search into the Tensorflow Github repo. E.g. https://github.com/tensorflow/tensorflow/search?utf8=%E2%9C%93&q=image+summary, where you'll see it's been renamed to tf.summary.image.
Surely it'll be much appreciated if you let the team know. I think the best way is to raise an issue here: https://github.com/tensorflow/tensorflow/issues
Wow, this is totally confusing and the dojo 1.8 documentation seems a complete clusterf**k around build layers. Anybody have a clue what's going on there?
In the build script example profiles, the example amd.profile.js has profile.layers["dojo/dojo"] and the tutorial follows this same syntax.
Besides the tutorial, in the 1.8 build documentation there is no mention of this kind of structure, but of profile.dependencies.layers[n].
The documentation also references non-AMD syntax and, just to add another "layer" of confusion, there's also a profile.dependencies.layers[n].dependencies.
Which should I be using? Is this actually documented anywhere with any consistency or clarity?
I have learned that the Dojo 1.8 Reference Guide contains obsolete information regarding build profiles, but that the Dojo 1.8 Build tutorial is current:
http://dojotoolkit.org/documentation/tutorials/1.8/build/
That tutorial recommends this blog post for more information about layers and build optimization: http://www.sitepen.com/blog/2012/06/11/dgrid-and-dojo-nano-build/
I've tried the wiki that comes with DotNetNuke and we don't like it at all. Can anyone suggest a better wiki that we could use with DNN 5?
You could try Canam Wiki 1.5. Here is a features list:
http://marketplace.dotnetnuke.com/p-875-canam-wiki100.aspx
I agree. The DNN wiki is pretty klunky. We're trying Dokuwiki, Screwturn, and Mediawiki.
EDIT:
No, these are not DNN modules. So they don't integrate directly. We're going to implement it as wiki.MySite.com rather than www.MySite.com/wiki. Good comment, #Robert Harvey.
Here is an updated link for Canam Wiki:http://www.snowcovered.com/Snowcovered2/Default.aspx?tabid=242&PackageID=20507