AutoML Alex

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State-of-the art Automated Machine Learning python library for Tabular Data

Installation

pip install automl-alex

🚀 Examples

Classifier:

from automl_alex import AutoMLClassifier

model = AutoMLClassifier(X_train, y_train, X_test,)
predict_test, predict_train = model.fit_predict(timeout=2000,)

Regression:

from automl_alex import AutoMLRegressor

model = AutoMLRegressor(X_train, y_train, X_test,)
predict_test, predict_train = model.fit_predict(timeout=2000,)

More examples in the folder ./examples:

Features

  • Data preprocessing
  • Categorical feature Encoding
  • Target Encoding with cross validation
  • Cross Validation
  • Search for the best solving library
  • Smart Optimization of Hyperparameters (TPE)
  • Timelimit and EarlyStoping
  • Stacking

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (2023.3.11)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for Alex-Lekov from gravatar.com Alex-Lekov

Credits

Author: Alex Lekov

License

MIT License (MIT)

Requires

Python >=3.6.*

Tags

machine learning data science automated machine learning automl hyperparameter optimization artificial intelligence ensembling stacking blending deep learning tensorflow deeplearning lightgbm gradient boosting gbm keras

Classifiers

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Release history Release notifications | RSS feed

2023.3.11

2 files

2023.3.10

2 files

Yanked

2023.3.9

2 files

Yanked reason: numpy version

1.6.10

2 files

1.3.10

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1.3.9

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1.3.8

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1.3.7

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1.3.6

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1.3.5

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1.3.4

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1.3.1

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1.2.28

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1.2.25

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1.2.24

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1.2.23

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1.2.15

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1.1.11

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0.11.24

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0.10.7

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0.10.6

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0.10.5

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0.10.4

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0.8.5

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0.7.26

2 files

0.7.25

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0.7.21

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0.7.20

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0.7.18

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0.7.4

2 files

This release

0.5.19 This release

2 files

0.5.16

2 files

0.5.10.2

2 files

0.5.10.1

2 files

0.5.9

2 files

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