xgbc | Game Boy emulator written in Kotlin using libGDX | Game Engine library

by kotcrab Kotlin Version: Current License: Apache-2.0

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | xgbc Summary

xgbc is a Kotlin library typically used in Gaming, Game Engine applications. xgbc has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Game Boy emulator written in Kotlin using libGDX and VisUI. Running Tetris (without sprites support).

Support

Quality

Security

License

Reuse

Support

xgbc has a low active ecosystem.

It has 45 star(s) with 5 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

xgbc has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xgbc is current.

Quality

xgbc has no bugs reported.

Security

xgbc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

xgbc is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

xgbc releases are not available. You will need to build from source code and install.

Installation instructions are not available. Examples and code snippets are available.

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xgbc Key Features

No Key Features are available at this moment for xgbc.

xgbc Examples and Code Snippets

No Code Snippets are available at this moment for xgbc.

Community Discussions

Trending Discussions on xgbc

Partial dependence/ALE/ICE plots XgBoost in r

Is their any sklearn module like voting classifier for regression?

QUESTION

Partial dependence/ALE/ICE plots XgBoost in r

Asked 2021-Apr-16 at 10:23

I am trying to plot pdp, ale and ICE plots for a regression Xgboost model in r built using the Xgboost library. I have tried this using the pdp library:

...

ANSWER

Answered 2021-Apr-16 at 10:23

You need to specify the type. If ICP is continuous, try

p1xv <- partial(xgbc, pred.var = "za1", ice = TRUE, center = TRUE, plot = TRUE, rug = TRUE, alpha = 0.1, plot.engine = "ggplot2", train = xv, type = "regression")

Source https://stackoverflow.com/questions/66016542

QUESTION

Is their any sklearn module like voting classifier for regression?

Asked 2018-Dec-02 at 12:07

I used to use VotingClassifier(from sklearn) like below. And now I want to find ensemble for regression model.

...

ANSWER

Answered 2018-Dec-02 at 12:07

I found the way. Someone answered in Kaggle.

Solution :

Simply make predictions and take an average of them.

https://scikit-learn.org/stable/modules/ensemble.html#voting-classifier

For classification there are two ways:

hard voting - class which was predicted by most models is selectes;

soft voting - each model predicts probabilities, classes with the highest probability are chosen.

Source https://stackoverflow.com/questions/53578815

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install xgbc

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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