xfeat | Flexible Feature Engineering & Exploration Library | Machine Learning library

by pfnet-research Python Version: Current License: MIT

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

kandi X-RAY | xfeat Summary

xfeat is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning applications. xfeat has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However xfeat has 1 bugs. You can download it from GitHub.

Slides | Tutorial | Document | Installation. Flexible Feature Engineering & Exploration Library using GPUs and Optuna. xfeat provides sklearn-like transformation classes for feature engineering and exploration. Unlike sklearn API, xfeat provides a dataframe-in, dataframe-out interface. xfeat supports both pandas and cuDF dataframes. By using cuDF and CuPy, xfeat can generate features 10 ~ 30 times faster than a naive pandas operation.

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Quality

Security

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Support

xfeat has a low active ecosystem.

It has 246 star(s) with 11 fork(s). There are 37 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of xfeat is current.

Quality

xfeat has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 45 code smells.

Security

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

xfeat code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

xfeat is licensed under the MIT License. This license is Permissive.

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

Reuse

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

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

Installation instructions, examples and code snippets are available.

xfeat saves you 1194 person hours of effort in developing the same functionality from scratch.

It has 2691 lines of code, 204 functions and 56 files.

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

Top functions reviewed by kandi - BETA

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

Performs feature selection on the dataframe
Fit the model
Set threshold from trial
Return list of selected columns
Set the trial s selection flag
Dynamically loads a model class
Feature engineering
Fit the transformer to the input data
Transform X
Return whether the CUDF is available
Size of grid search space
Create a feature selector
Loads all transforms from trial
Initialize from trial
Return install requirements
Returns the search space for each group
Compress the data
Fit the model to the input data
Set the trial s threshold
Return list of selected cols
Returns the selected columns
Perform aggregation on input data
Set options from trial
Evaluate a dataframe
Plot the benchmark groupby aggregation
Load the anatomy dataset

Get all kandi verified functions for this library.

xfeat Key Features

No Key Features are available at this moment for xfeat.

xfeat Examples and Code Snippets

No Code Snippets are available at this moment for xfeat.

Community Discussions

Trending Discussions on xfeat

TypeError: 'NoneType' object is not subscriptable (PYTHON)

QUESTION

TypeError: 'NoneType' object is not subscriptable (PYTHON)

Asked 2020-Oct-04 at 17:14

I'm trying to write a python code for multivariate linear regression using mini-batch gradient descent. And there is an issue when running the predict function. xFeat is a nd-array with shape n x d. beta is an array of coefficients. yHat is the predicted value.

...

ANSWER

Answered 2020-Oct-04 at 17:14

Your beta list is set to None in someplace. None always has no data and can not be subscriptable.

The error means that you attempted to index an object whose type is None. NoneType is the type of the None object - it represents a lack of value.

Source https://stackoverflow.com/questions/64196275

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

Vulnerabilities

No vulnerabilities reported

Install xfeat

xfeat provides a dataframe-in, dataframe-out interface:.
If you want to use GPUs, cuDF and CuPy are required. See the cuDF installation guide.

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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