MOD3 | JavaScript port of AS3DMod ActionScript 3D Modifier Library | Game Engine library

I was wondering how can I reformat a string that looks like this:

"Fun_MOD3_s_MOD3_text_ui16_type;"

To become like this using Java

"Fun_MOD_3_s_MOD_text_ui16_type;"

I tried attempting using the Replace and ReplaceAll member functions of the String Class but with no avail. I'm not sure but is it possible to do this with regular expressions?

This is the required format I was given so the text always comes with both of them having the number and then afterword it becomes like the second string. I found it confusing too the way the strings were being transformed. But yes for some reason instead of the second MOD3 becoming MOD_3 it becomes just MOD. The rule that needs to be done is that the first word between "Fun_" and "s" needs to be transformed from WORD(NUMBER) to -> Word(NUMBER) and the second string needs to be transformed from WORD(NUMBER) to -> Word

Any help would be greatly appreciated.

I currently have my flask running static where I run the ETL job independently and then use the result dataset in my Flask to display chartjs line charts.

However, I'd like to integrate the ETL piece in my web framework where my users can login and submit the input parameter(locations of the input files and an added version id) using HTML form, which will then be used by my ETL job to run and use the resultant data directly to display the charts on same page.

Current Setup:

My custom ETL module has submodules that act together to form a simple pipeline process:

globals.py - has my globals such as location of the s3 and the etc. ideally i'd like my user's form inputs to be stored here so that they can be used directly in all my submodules wherever necessary.

I am trying to implement with Keras a multi input model for a multiclass classification problem with 3 possible outputs, but i can't understand if it's correct to leave any layers as the last one, or if it should respect the restrictions of the number of class.
So what is the correct (if is possible to define a correct one) architecture between these 2 below?

1)

I have created a Maven (Java) project with three Maven subprojects, module1-3. module2 depends on module1, and module3 depends on both module2 and module1.

In the original build, module1 and module2 are common modules shared between multiple projects, and module3 is the end program which incorporates the other two. All the modules are ultimately compiled into an uber-jar to be distributed to the end customer.

From the command line this builds and runs just fine, but after importing to IntelliJ it's not able to properly resolve the local dependencies. It appears that IntelliJ uses the idea:idea goal for its importing, and running idea:idea on my testcase gives the following output, where it clearly has problems resolving despite ultimately giving a build success.

After importing the project into IntelliJ, all of the cross module references show as unresolved symbols.

Complete source code for this testcase is at: https://github.com/hutch31/maven-intellij-plugin-dep

Is there a missing/extra step required to get IntelliJ to figure out these references across Maven subprojects?

I am using Maven 3.6.3, and IntelliJ 2021.1. IntelliJ's integrated Maven is also version 3.6.3.

Edit: I have tried changing the order of the modules in the parent, and adding parent tags to the child modules, which did not affect the operation. I have updated the repository to reflect the state of the original code, in which module3 has a parent tag but module1 and module2 do not (as they are common code).

On the command line, I build and run using 'mvn clean test'. I have also added a Maven 'compile' configuration, which builds correctly despite the reported errors.

Please, how do I assign the N, Log-likelihood, AIC, and BIC values to each of the multivariate regression models in a merged gtsummary table output?

I am a Rmerteur trying to fit additive multivariate models adding higher-level variables to subsequent models (see below example). Meanwhile, I could not retain the N, Log-likelihood, AIC, and BIC values for each model fit once I merge the separate models. I need the estimates to compare the fit across the models.

Is there an easy way to get this done?

Thank you for your help!

I'm creating an illustration of how loess works. My two queries are at the end of this question. First, setup:

Is there a way of supressing the labels of "Dependent Variables" in a plot like the following?

It is a simple regression plot made with the following code:

I'm new to R and I'm trying to create a loop in R with a string mod and a variable x

my code so far looks like this m=1 and b=1 at the start of the code

I'm trying to plot a quadratic regression line in a scatterplot using the following code:

• bmi is body mass index and pbfm is "percentage body fat content"