ATOM

(★ 165)

Automated Tool for Optimized Modelling

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Download Latest Version (.zip)

- - bug_report.yml
  - config.yml
  - doc_improvement.yml
  - feature_request.yml
- - config.yml
  - release.yml
  - stale.yml
- CODE_OF_CONDUCT.md
- codecov.yml
- CONTRIBUTING.md
- pull_request_template.md
- - __init__.py
  - branch.py
  - branchmanager.py
  - dataengines.py
- - __init__.py
  - classreg.py
  - custom.py
  - ensembles.py
  - ts.py
- - __init__.py
  - basefigure.py
  - baseplot.py
  - dataplot.py
  - hyperparametertuningplot.py
  - predictionplot.py
  - shapplot.py
- - __init__.py
  - constants.py
  - patches.py
  - types.py
  - utils.py
- __init__.py
- _show_versions.py
- api.py
- atom.py
- basemodel.py
- baserunner.py
- basetracker.py
- basetrainer.py
- basetransformer.py
- data_cleaning.py
- feature_engineering.py
- integrations.py
- nlp.py
- pipeline.py
- training.py
- - v4.x.x.md
  - v5.x.x.md
  - v6.x.x.md
- - accelerating_cuml.ipynb
  - accelerating_sklearnex.ipynb
  - advanced_plotting.ipynb
  - automated_feature_scaling.ipynb
  - binary_classification.ipynb
  - bootstrapping.ipynb
  - calibration.ipynb
  - data_engines.ipynb
  - deep_learning.ipynb
  - ensembles.ipynb
  - feature_engineering.ipynb
  - getting_started.ipynb
  - holdout_set.ipynb
  - hyperparameter_tuning.ipynb
  - imbalanced_datasets.ipynb
  - in_training_validation.ipynb
  - memory_considerations.ipynb
  - metadata.ipynb
  - multi_metric.ipynb
  - multiclass_classification.ipynb
  - multilabel_classification.ipynb
  - multioutput_regression.ipynb
  - multivariate_forecast.ipynb
  - nlp.ipynb
  - pruning.ipynb
  - ray_backend.ipynb
  - regression.ipynb
  - successive_halving.ipynb
  - train_sizing.ipynb
  - univariate_forecast.ipynb
  - utilities.ipynb
- - dagshub.png
  - diagram_branch
  - diagram_branch.png
  - diagram_pipeline
  - diagram_pipeline.png
  - favicon.ico
  - icon.png
  - icon_white.png
  - jetbrains.png
  - logo.png
  - mlflow.png
  - pycharm.png
- - home.html
  - main.html
- - __init__.py
  - autodocs.py
  - autorun.py
- - extra.css
  - extra.js
- - accelerating.md
  - data_cleaning.md
  - data_management.md
  - feature_engineering.md
  - introduction.md
  - logging.md
  - models.md
  - nlp.md
  - nomenclature.md
  - plots.md
  - predicting.md
  - time_series.md
  - training.md
- about.md
- contributing.md
- dependencies.md
- faq.md
- getting_started.md
- index.md
- license.md
- - abalone.csv
  - credit_card.csv
  - credit_card_eval.csv
  - houses.csv
  - houses_eval.csv
  - weatherAUS.csv
  - weatherAUS_small.csv
- - __init__.py
  - requirements.txt
  - webapp.py
- accelerating_cuml.ipynb
- accelerating_sklearnex.ipynb
- advanced_plotting.ipynb
- automated_feature_scaling.ipynb
- binary_classification.ipynb
- bootstrapping.ipynb
- calibration.ipynb
- data_engines.ipynb
- deep_learning.ipynb
- ensembles.ipynb
- feature_engineering.ipynb
- getting_started.ipynb
- holdout_set.ipynb
- hyperparameter_tuning.ipynb
- imbalanced_datasets.ipynb
- in_training_validation.ipynb
- memory_considerations.ipynb
- metadata.ipynb
- multi_metric.ipynb
- multiclass_classification.ipynb
- multilabel_classification.ipynb
- multioutput_regression.ipynb
- multivariate_forecast.ipynb
- nlp.ipynb
- pruning.ipynb
- ray_backend.ipynb
- regression.ipynb
- successive_halving.ipynb
- train_sizing.ipynb
- univariate_forecast.ipynb
- utilities.ipynb
- diagram_branch
- diagram_branch.png
- diagram_pipeline
- diagram_pipeline.png
- favicon.ico
- icon.png
- icon_white.png
- logo.png
- __init__.py
- conftest.py
- test_api.py
- test_atom.py
- test_basemodel.py
- test_baserunner.py
- test_basetrainer.py
- test_basetransformer.py
- test_data.py
- test_data_cleaning.py
- test_feature_engineering.py
- test_models.py
- test_nlp.py
- test_pipeline.py
- test_plots.py
- test_training.py
- test_utils.py
.gitignore
.pre-commit-config.yaml
LICENSE
mkdocs.yml
pdm.lock
pyproject.toml
README.md

# Installation Guide

1. Get the code

git clone https://github.com/tvdboom/ATOM

Downloads the entire project code from GitHub to your computer.

cd ATOM

Moves into the project folder you just downloaded.

2. Python

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

$ pip install -U atom-ml

Installs the Python libraries listed in requirements.txt (or similar).

✅ If it runs without errors and prints output in the terminal, it worked.

Pulled directly from this repo's README.

ATOM

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# Installation Guide

2. Python

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ATOM

File Explorer

# Installation Guide

2. Python

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Recent Feedback

Download README