FeathersV1 Classification

This repository contains a Jupyter notebooks and scripts for solving sparse classification task based on FeathersV1 Dataset.

Usage

Download FeathersV1 Dataset into data directory. You can use download.sh script for Linux presented in data directory.
Run tensorflow_classification.ipynb to view data loading and model training processes.

We recommend using the versions of packages provided in the requirements.txt file.

Jupyter Notebook also needed for open ipynb example files.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
data		data
meta		meta
results		results
.gitignore		.gitignore
.pre-commit-config.yaml		.pre-commit-config.yaml
AUTHORS		AUTHORS
LICENSE		LICENSE
README.md		README.md
class_normalization.ipynb		class_normalization.ipynb
requirements.txt		requirements.txt
tensorflow_classification.ipynb		tensorflow_classification.ipynb