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I have make a script that imputes the missing data (NA) in the file but i want to send this imputed data to another R.script from this script my_code:

I have a form with mandatory inputs and added a onClick event listener on the submit button to display a loading git when the program is charging. The problem is that the onClick function is triggered every time the button is clicked and I want it to be only if the form is complete and sent.

How can I put a condition in my jQuery function for that ?

Here is the HTML and JS:

I use targets as a pipelining tool for an ML project with H2O. The main uniqueness of using H2O here is that it creates a new "cluster" (basically a new local process/server which communicates via Rest APIs as far as I understand).

The issue I am having is two-fold.

1. How can I stop/operate the cluster within the targets framework in a smart way
2. How can I save & load the data/models within the targets framework

A minimum working example I came up with looks like this (being the _targets.R file):

I have a sample dataframe that looks like below. Y columns all contain 0,1 binary outcomes. X is the columns that start from x_1 to x_13.

suppose I have an object "database" out of an rfsrc(..) (randomForestSRC package) call. Calling database gives me (in my particular case)

I trained a simple randomforest classifier, then when I test the prediction with the same test input:

I am trying to get the second last value in each row of a data frame, meaning the first job a person has had. (Job1_latest is the most recent job and people had a different number of jobs in the past and I want to get the first one). I managed to get the last value per row with the code below:

first_job <- function(x) tail(x[!is.na(x)], 1)

first_job <- apply(data, 1, first_job)

When we have a random forest, we have n-inputs and m-features e.g for 3 observations and 2 features we have

The Weka RandomForest class provides various setters, like setNumIterations(), setNumFeatures(), setMaxDepth(), etc. Is there also a setter to set the minimum number of instances per leaf option of a RandomForest?

I am currently setting it indirectly via setOptions() using -M, but that triggers the "Can't find a permissible class" error (see Weka - Can't find a permissible class) when running the program from the command-line java -jar target/MyApp.jar. However, running from it within the Apache Netbeans IDE does work without any errors, so perhaps some classpath/Maven change might also help?