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AdaReader

PyPI

A versatile library for reading datasets from multiple formats and generating synthetic datasets.

Versions collected1
Direct dependencies4From release 0.0.2
Last observed20 Oct, 19:09 UTC

README

Version 0.0.2 documentation

Flexi DataReader

Flexi DataReader is a powerful and versatile Python library for working with datasets in multiple formats. It simplifies the process of reading files, generating synthetic datasets, and loading predefined datasets from scikit-learn.


🌟 Features

  • Automatically detects and processes files in various formats:
    • CSV
    • JSON
    • Excel (.xlsx)
    • MATLAB (.mat)
    • Parquet
  • Generates synthetic datasets for machine learning using scikit-learn:
    • Classification
    • Regression
    • Clustering
  • Loads predefined datasets from scikit-learn:
    • Iris, Digits, California Housing, and more.
  • Robust error handling for missing files, invalid data, and unsupported formats.

🚀 Installation

Install the library directly from PyPI:

pip install flexi-datareader

To install the latest development version from GitHub

pip install git+https://github.com/YousofLHC/flexi-datareader.git

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Versions 1

Collected releases
VersionPublishedDirect dependenciesOpen version
0.0.215 Jan 20254

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yousoflhc/flexi_datareader

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Observed since 20 Oct, 19:09 UTC

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package:fcef7feb6de5c423741c15bebce297212fa24193816dd364ee6aa2c4621e7a56