SCoRe | sequential recommendation model with dual side neighbor | Recommender System library

You should separate creating your menu from your content. Please review the following example. I decoupled your menu, component, and event logic into meaningful phases.

I received an official response for the reCAPTCHA Enterprise support team:

Thanks for reaching out here. We recommend not putting a checkbox behind a score. More details are available on this here: https://cloud.google.com/recaptcha-enterprise/docs/faq#id_like_to_use_the_score_from_to_show_a_challenge_checkbox_widget_how_can_i_do_this

Not only are there concerns listed in that FAQ point about the efficacy of a checkbox widget when placed behind a score, but it also over simplifies how the checkbox widget works. We perform "adversarial challenging" on our checkbox widget (essentially, we show harder challenges to known attackers), but we're unable to do so when placed behind a score reCAPTCHA.

All of this being said, if you do wish to do it anyway, you would have to include the JS file twice.

And this is from the link posted in their email:

I'd like to use the score from reCAPTCHA Enterprise to show a challenge / checkbox widget. How can I do this?

We recommend that you do not do this. reCAPTCHA Enterprise expects to see both good and bad user behavior on implementation. If you trigger a reCAPTCHA Enterprise checkbox widget based on a reCAPTCHA Enterprise score, the checkbox widget is only being exposed to bad traffic. Due to this, the widget can have a more difficult time determining whether to show a challenge or not. This can result in issuing NO CAPTCHAs (no challenge shown at all) to fraudulent users or bots due to trouble making that differentiation.

In these cases, we recommend just using a challenge-based site key upfront (like reCAPTCHA Enterprise with a CHECKBOX Site Key) instead, but installing a SCORE Site Key on every page, as well as issuing grecaptcha.enterprise.execute to train the model, but foregoing assessments on the SCORE tokens. Essentially, this achieves the goal by training the reCAPTCHA Enterprise CHECKBOX site keys on user behavior, resulting in less challenges shown to legitimate users and more challenges to fraudulent ones.

Because HappyTransformer does not support multi class probabilities I suggest to use another library. The library flair provides even more functionality and can give you your desired multi class probabilities, with something like this:

sort_values with ascending one side descending other side:

Insert the outputs in a fluidRow; they will be placed better in the bootstrapp grid:

You mistype the recycler_style.xml, the id must be specified in the android:id property and not in android:layout_width

Regarding the code structure question, it's fine, especially initially, to pass props down one or two levels.

In terms of code, something like that (note the convention is to start variable names with lowercase):

Collision detection depends on your needs.

• Bounding boxes are simple and can detect if the x, y edges of each object are not within one another. This is fine for fast moving games and things where you don't necessarily require point precision.
• Distance vectors are also simple and perfect solution for circle collisions. They calculate the difference in distance between two objects according to a radius prescribed with the hypotenuse of distX^2 + distY^2.
• Compound bounding objects are harder to calculate, especially for concave areas on objects of arbitrary shape. There are too many notable and novel approaches to collision detection beyond these to remark on here.

They're also increasingly complex depending on things like variability (if they're deformable objects, if they have particle seams, etc and 2d vs 3d object collision can be vastly different worlds as well. There are tons of articles, but I'll post one with implementation here