tree-classifier | A class for decision trees | Machine Learning library

by devtronic PHP Version: v1.0.1 License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | tree-classifier Summary

tree-classifier is a PHP library typically used in Artificial Intelligence, Machine Learning applications. tree-classifier has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. You can download it from GitHub.

A class for decision trees

Support

Quality

Security

License

Reuse

Support

tree-classifier has a low active ecosystem.

It has 10 star(s) with 2 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

tree-classifier has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tree-classifier is v1.0.1

Quality

tree-classifier has no bugs reported.

Security

tree-classifier has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tree-classifier is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

tree-classifier releases are available to install and integrate.

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

Top functions reviewed by kandi - BETA

kandi has reviewed tree-classifier and discovered the below as its top functions. This is intended to give you an instant insight into tree-classifier implemented functionality, and help decide if they suit your requirements.

Classify the nodes .
Add one or more subjects
Add sub - nodes to this node
Adds a subject to the mail
Add sub node .
Return the list of subjects .

Get all kandi verified functions for this library.

tree-classifier Key Features

No Key Features are available at this moment for tree-classifier.

tree-classifier Examples and Code Snippets

No Code Snippets are available at this moment for tree-classifier.

Community Discussions

Trending Discussions on tree-classifier

Why does cross_val_score return several scores?

Cannot import parquet data in PySpark

Error in xy.coords(x, y, xlabel, ylabel, log) while knitting the file

QUESTION

Why does cross_val_score return several scores?

Asked 2020-Oct-15 at 16:27

I have the following code

...

ANSWER

Answered 2020-Oct-15 at 16:17

sklearn.model_selection.cross_val_score gives you the score evaluated by cross validation, which means that it uses K-fold cross validation to fit and predict using the input data. The result is hence an array of k scores, resulting from each of the folds. You have an array of 5 values because cv defaults to that value, but you can modify it to others.

Here's an example using the iris dataset:

Source https://stackoverflow.com/questions/64375374

QUESTION

Cannot import parquet data in PySpark

Asked 2020-Jul-17 at 21:38

I saved a pandas DataFrame in parquet format. Since it's huge and I need to perform gradient boosting classification I'd like to use PySpark to speed up the process. My pandas df is like this

...

ANSWER

Answered 2020-Jul-17 at 13:50

Looks like there is a space or \t in your column name Y.

Please check and remove that.

Source https://stackoverflow.com/questions/62955265

QUESTION

Error in xy.coords(x, y, xlabel, ylabel, log) while knitting the file

Asked 2020-Apr-02 at 04:09

I have everything working when I run the chunks but an error occurs when I decide to knit my .rmd file

...

ANSWER

Answered 2020-Apr-02 at 04:09

I suppose your problematic line should be

Source https://stackoverflow.com/questions/60982554

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

Vulnerabilities

No vulnerabilities reported

Install tree-classifier

You can download it from GitHub.
PHP requires the Visual C runtime (CRT). The Microsoft Visual C++ Redistributable for Visual Studio 2019 is suitable for all these PHP versions, see visualstudio.microsoft.com. You MUST download the x86 CRT for PHP x86 builds and the x64 CRT for PHP x64 builds. The CRT installer supports the /quiet and /norestart command-line switches, so you can also script it.

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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