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I am trying to schedule a data-quality monitoring job in AWS SageMaker by following steps mentioned in this AWS documentation page. I have enabled data-capture for my endpoint. Then, trained a baseline on my training csv file and statistics and constraints are available in S3 like this:

I have a bunch of Cloudfront distributions scattered across a number of AWS accounts. I'd like to get the Usage Reports for all Cloudfront distros across all AWS accounts.

Now, I have the change-account bit already automated, but I'm not sure how to get the CSV report via the AWS CLI.

I know I can do some ClickOps and download the report via the Cloudfront Console, like here:

but I can't find the command to get the report with the AWS CLI.

I know I can get the Cloudfront metrics via the Cloudwatch API but the documentation doesn't mention the API endpoint I should be querying.

Also, there's aws cloudwatch get-metric-statistics, but I'm not sure how to use that to download the Cloudfront Usage CSV Report.

Question: How can I get the Cloudfront Usage Report for all distributions in an AWS account using the AWS CLI?

I am learning how to write a Maximum Likelihood implementation in Julia and currently, I am following this material (highly recommended btw!). So the thing is I do not fully understand what a closure is in Julia nor when should I actually use it. Even after reading the official documentation the concept still remain a bit obscure to me.

For instance, in the tutorial, I mentioned the author defines the log-likelihood function as:

In a R Notebook there is a function that makes many plots and print summary statistics in the console. I would like to get the plot and the console output (i.e. summary statistics) side by side on the HTML output.

Here is a very simple example:

For my site admin panel, i need to show statistics for payments between two date

My payments table fields:

I'm working on a statistics project involving cards and shuffling, and I've run across an issue with random number generation.

From a simple bit of math there are 52! possible deck permutations, which is approximately 2^226. I believe this means that I need a random number generator with a minimum of 226 bits of entropy, and possibly more (I'm not certain of this concept so any help would be great).

From a quick google search, the Math.random() generator in Java has a maximum of 48 bits of entropy, meaning that the vast majority of possible deck combinations would not be represented. So this does not seem to be the way to go in Java.

I was linked to this generator but it doesn't have a java implementation yet. Also for a bit of context here is one of my shuffling algorithms (it uses the Fisher-Yates method). If you have any suggestions for better code efficiency that would be fantastic as well.

I have created different bins for each column and grouped the DataFrame based on these.

• Save a program that writes data to disk from vain attempts of writing to a full filesystem;
• Save bandwidth (don't download if nowhere to store);
• Save user's and programmer's time and nerves (notify them of the problem instead of having them tearing out their hair with reading misleading error messages and "why the heck this software is not working!").

1. Reporting storage space statistics (available, used, total etc.), either of all filesystems or of the filesystem that path in question belongs to.
2. Reporting a filesystem error on running out of space.

Share please NATIVE Raku alternative(s) (TIMTOWTDIBSCINABTE "Tim Toady Bicarbonate") to:

I've built a small bot in Kotlin.

It's finished and I can run it from my developer tools. I am using the application plugin to attempt distribution but I keep failing.

./gradlew run runs the bot as expected.

I was looking for something like ./gradlew installDist and then just running installationDir/bin/App (similar to Ktor apps) and running the app. But it just exits successfully with no output when I should see a lot of logging output.

What am I doing wrong?