wolpert | stacked generalization framework | Machine Learning library

by caioaao Python Version: 0.1b2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | wolpert Summary

wolpert is a Python library typically used in Artificial Intelligence, Machine Learning applications. wolpert has no bugs, it has no vulnerabilities, it has build file available and it has low support. However wolpert has a Non-SPDX License. You can install using 'pip install wolpert' or download it from GitHub, PyPI.

A stacked generalization framework. Built on top of scikit learn

Support

Quality

Security

License

Reuse

Support

wolpert has a low active ecosystem.

It has 56 star(s) with 1 fork(s). There are 4 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 7 have been closed. On average issues are closed in 5 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of wolpert is 0.1b2

Quality

wolpert has 0 bugs and 0 code smells.

Security

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

wolpert code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

wolpert has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

wolpert releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

It has 1430 lines of code, 139 functions and 20 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Resolve the linkcode
Split the training data
Create a pipeline
Name of the estimators
Construct a FeatureUnion
Fit the model to the given data
Returns an iterator over the transformer
Update the transformer list
Validate Xs
Blend the fit
Fit the estimator
Print scores
Wrap text t with line width
Fit the final estimator
Fit the transformer
Blend the layers
Fit transformers
Fit the model
Fit the model to the data
Blend fit method
Apply transformers
Blend the model
Evaluate the model
Return a function to resolve linkcode
Inverse of transforms
Fit a transformer

Get all kandi verified functions for this library.

wolpert Key Features

No Key Features are available at this moment for wolpert.

wolpert Examples and Code Snippets

No Code Snippets are available at this moment for wolpert.

Community Discussions

Trending Discussions on wolpert

Error in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = urlSuffix, : Unexpected CURL error: getaddrinfo() thread failed to start

QUESTION

Error in .h2o.doSafeREST(h2oRestApiVersion = h2oRestApiVersion, urlSuffix = urlSuffix, : Unexpected CURL error: getaddrinfo() thread failed to start

Asked 2022-Jan-27 at 19:14

I am experiencing a persistent error while trying to use H2O's h2o.automl function. I am trying to repeatedly run this model. It seems to completely fail after 5 or 10 runs.

...

ANSWER

Answered 2022-Jan-27 at 19:14

I think I also experienced this issue, although on macOS 12.1. I tried to debug it and found out that sometimes I also get another error:

Source https://stackoverflow.com/questions/69485936

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

Vulnerabilities

No vulnerabilities reported

Install wolpert

You can install using 'pip install wolpert' or download it from GitHub, PyPI.
You can use wolpert like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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 .

Find more information at: