Skip to main content

A DataFrame-focused Solution for Tabular Dataset

Project description

Camel: A DataFrame-focused Solution for Tabular Dataset

Prepare the environment

# Create a new conda environment

conda create -n tabular-data-test python=3.10
conda activate tabular-data-test

# Make conda faster

conda install -n base conda-libmamba-solver
conda config --set solver libmamba

# Install mamba, which is faster and ully compatible with conda commands

conda install -c conda-forge mamba

# Install AutoGluon

mamba install -c conda-forge autogluon "pytorch=_=cuda_"

# Install ray for faster training

mamba install -c conda-forge "ray-tune >=2.6.3,<2.7" "ray-default >=2.6.3,<2.7"

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tabular-camel-2024.11.12.tar.gz (17.1 kB view details)

Uploaded Source

File details

Details for the file tabular-camel-2024.11.12.tar.gz.

File metadata

  • Download URL: tabular-camel-2024.11.12.tar.gz
  • Upload date:
  • Size: 17.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for tabular-camel-2024.11.12.tar.gz
Algorithm Hash digest
SHA256 32a72668272e2df5903e5bf8f2bdb88b860d386d2e892801917317010b6da214
MD5 e1ec74f70edf9cad3fe5996b18247606
BLAKE2b-256 674eb185adaf05efb23a5f62fa87a69e0a16fb6b6f78f314f5afaa7ecc23d730

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page