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Loss Func on Windows Pc

Developed By: Jaime Muñoz-Flores

License: Free

Rating: 1,0/5 - 1 votes

Last Updated: December 26, 2023

Download on Windows PC

Compatible with Windows 10/11 PC & Laptop

App Details

Version 1.0
Size 4.1 MB
Release Date March 12, 18
Category Productivity Apps

App Permissions:
Allows an application to write to external storage. [see more (5)]

Description from Developer:
In the field of economic and administrative sciencies, decisions are always surrounded by uncertainty factors. In any decision under conditions of uncertainty, the first step to co... [read more]

App preview ([see all 5 screenshots])

App preview

About this app

On this page you can download Loss Func and install on Windows PC. Loss Func is free Productivity app, developed by Jaime Muñoz-Flores. Latest version of Loss Func is 1.0, was released on 2018-03-12 (updated on 2023-12-26). Estimated number of the downloads is more than 1,000. Overall rating of Loss Func is 1,0. Generally most of the top apps on Android Store have rating of 4+. This app had been rated by 1 users, 1 users had rated it 5*, 1 users had rated it 1*.

How to install Loss Func on Windows?

Instruction on how to install Loss Func on Windows 10 Windows 11 PC & Laptop

In this post, I am going to show you how to install Loss Func on Windows PC by using Android App Player such as BlueStacks, LDPlayer, Nox, KOPlayer, ...

Before you start, you will need to download the APK/XAPK installer file, you can find download button on top of this page. Save it to easy-to-find location.

[Note] You can also download older versions of this app on bottom of this page.

Below you will find a detailed step-by-step guide, but I want to give you a fast overview of how it works. All you need is an emulator that will emulate an Android device on your Windows PC and then you can install applications and use it - you see you're playing it on Android, but this runs not on a smartphone or tablet, it runs on a PC.

If this doesn't work on your PC, or you cannot install, comment here and we will help you!

  1. Install using BlueStacks
  2. Install using NoxPlayer

Step By Step Guide To Install Loss Func using BlueStacks

  1. Download and Install BlueStacks at: https://www.bluestacks.com. The installation procedure is quite simple. After successful installation, open the Bluestacks emulator. It may take some time to load the Bluestacks app initially. Once it is opened, you should be able to see the Home screen of Bluestacks.
  2. Open the APK/XAPK file: Double-click the APK/XAPK file to launch BlueStacks and install the application. If your APK/XAPK file doesn't automatically open BlueStacks, right-click on it and select Open with... Browse to the BlueStacks. You can also drag-and-drop the APK/XAPK file onto the BlueStacks home screen
  3. Once installed, click "Loss Func" icon on the home screen to start using, it'll work like a charm :D

[Note 1] For better performance and compatibility, choose BlueStacks 5 Nougat 64-bit read more

[Note 2] about Bluetooth: At the moment, support for Bluetooth is not available on BlueStacks. Hence, apps that require control of Bluetooth may not work on BlueStacks.

How to install Loss Func on Windows PC using NoxPlayer

  1. Download & Install NoxPlayer at: https://www.bignox.com. The installation is easy to carry out.
  2. Drag the APK/XAPK file to the NoxPlayer interface and drop it to install
  3. The installation process will take place quickly. After successful installation, you can find "Loss Func" on the home screen of NoxPlayer, just click to open it.

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Download older versions

Other versions available: 1.0.

Download Loss Func 1.0 on Windows PC – 4.1 MB

In the field of economic and administrative sciencies, decisions are always surrounded by uncertainty factors. In any decision under conditions of uncertainty, the first step to construct an analytical scheme that allows to delimit the possible economic losses is to define what is known as the loss function; in the decision, the best possible option will always depend on the way in which the different types of errors that an individual can commit are weighted; that is why the construction of the loss function is the ideal resource for this purpose.
In general terms, it can be said that in the loss function there are two basic arguments: the true class and the predicted class; both can be represented in a matrix.

L(y,y_1 )
Where L is the loss function, y is the true class and y1 is the predicted class.
If one thinks, for example, of undertaking in the field of technological innovation and in doing so happens that there is not enough market for the new products, this wrong decision will have a cost; however, if there is indeed a market for the new product and the decision of undertaking had not been taken - despite that there were indicators about that it was advisable - then the entrepreneur would realize that he lost millions because he did not want to launch their products at the right time , while the competition did.
This type of reasoning can be used to weigh different errors and guide decision making. Because it is the simplest, a binary loss function is normally used for such purposes; that is, a function that can assume only the values of 0 and 1. Thus, the decision can be made in the following terms: nothing is added to the cost if the correct decision is made and the unit is added in case of having made the wrong decision. This app facilitates the construction of loss functions for all kinds of decision problems.
Allows an application to write to external storage.
Allows applications to open network sockets.
Allows applications to access information about Wi-Fi networks.
Allows applications to access information about networks.
Allows an application to read from external storage.