minimise | Minimise app built using kotlin multiplatform | Model View Controller library

Is there a way in JetBrains Compose for Desktop to change the title bar background color or just change it for dark mode? I'm using MacOS, so the bar can be light or dark. It would also be fine to make titlebar itself invisible (but keep the close, minimise and maximise buttons) and create your own view below it.

I was looking in the compose window code, but couldn't find it there.

General terms that I used to search on google such as Localised Accuracy, custom accuracy, biased cost functions all seem wrong, and maybe I am not even asking the right questions.

Imagine I have some data, may it be the:

1. The famous Iris Classification Problem
2. Pictures of felines
3. The Following Dataset that I made up on predicting house prices:

In all these scenario, I am really interested in the accuracy of one set/one regression range of data.

1. For irises, I really need Iris "setosa" to be classified correctly, really don't care if Iris virginica and Iris versicolor are all wrong.

2. for Felines, I really need the model to tell me if you spotted a tiger (for obvious reason), whether it is a Persian or ragdoll or not I dont really care.

3. For the house prices one, i want the accuracy of higher-end houses error to be minimised. Because error in those is costly.

How do I do this? If I want Setosa to be classified correctly, removing virginica or versicolour both seem wrong. Trying different algorithm like Linear/SVM etc are all well and good, but it only improves the OVERALL accuracy. But I really need, for example, "Tigers" to be predicted correctly, even at the expense of the "overall" accuracy of the model.

Is there a way to have a custom cost-function to allow me to have a high accuracy in a localise region in a regression problem, or a specific category in a classification problem?

If this cannot be answered, if you could just point me to some terms that i can search/research that would still be greatly appreciated.

I'm working in an existing JavaScript codebase. There is a class which exposes pre-defined functions (e.g. "copy", "paste") for utility. The class can be instantiated with "extension" functions, which allow users to register other utility functions for later use.

This code isn't typed, so I'm trying to add types to the signatures. But I'm having a lot of trouble with the function that gets a utility function by name (get(name)). A minimised version of the code (with my attempt at adding types) is as follows:

I have code which estimates a parameter beta in an ODE system, given that all parameters are known other than beta and the peak of the 'epidemic' simulation, is 10% of the starting population. However, I realise solving the root might not always work to find the value. Is there any method of using scipy.optimize to find an alternate way of estimating this, by taking the squared difference of sum at the 10% peak, squaring the whole thing, then minimising that? This is the current code:

I'm brand new to Vue so trying to understand the basics so far. I'm using Vue 3.

My intention is to:

• Create a select with the items in the array as options, this works.
• Once the button is clicked, store the value of the select, this also works.
• Push an object using the value of the select as an object's key's value

It's at this final stage that the error occurs, specifically the line getGeneMutationData: () => this.queryConstraints.push({

Error:

I have a function with two input variables we are looking to optimise. The function returns an output and we want to minimise this output. What is the best way to do this in Python?

Presently the functions input variables have been hardcoded, the goal would be to iterate over a range and find the optimal for both parameters.

I've looked into scipy but unsure how to utilise it in my situation.

The output of my code can be seen below.

I have a dataframe containing sensor data. The sensor data has fluctuations in it. I would like to minimise these fluctuations to make it fit for further analysis.

The sample of the data I have looks as below:

I am trying to reformat a DataFrame into a single line item per categorical group, but my fixed format needs to retain all elements of data associated to the category as new columns.

for example I have a DataFrame:

I'm fairly new to ios development. I'm actually coming from Flutter and have to make these native calls myself.

Basically, my app runs a timer/countdown (5-10mins). If the user minimises the app I want to stop the timer (e.g. user starts doing something else with the phone). If the user, however, simply locks their screen, I want the timer to continue.

I tried using some of the lifecycle calls like applicationDidEnterBackground and applicationWillTerminate, however, it seems both are called for minimization and screen off. How do I do it?