Tabular Learning

Latest version: 0.0.1

Welcome to the Tabular Learning! This repository contains a variety of resources for tackling tabular data tasks using machine learning and deep learning techniques.

Features of this package

• Load tabular datasets
• Tabular classification
• Tabular regression
• Explainable AI
• Placeholder

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Installation

1. Install Python3-tk and python3-dev with the command:

   sudo apt install python3-dev python3-tk

2. Clone the repo using the following command:

   git clone git@github.com:Takaogahara/tab-learning.git

3. Create and activate your virtualenv with Python 3.8, for example as described here.

4. Install packages using:

   pip install -r requirements-gpu.txt

   or

   pip install -r requirements-cpu.txt

   Install aditional dev libs:

   pip install -r requirements-dev.txt

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Configuration

You must define the network model to be used and its parameters using a YAML configuration file.

There is an example configuration file for the Classification and Regression tasks in configs/example_config.yaml.

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