Metadata-Version: 2.1
Name: automl_alex
Version: 0.5.10.2
Summary: State-of-the art Automated Machine Learning python library for Tabular Data
Home-page: UNKNOWN
Author: Alex Lekov
Author-email: itslek@yandex.ru
License: MIT
Project-URL: Bug Reports, https://github.com/Alex-Lekov/AutoML_Alex/issues
Project-URL: Source, https://github.com/Alex-Lekov/AutoML_Alex/
Description: 
        
        <h3 align="center">AutoML Alex</h3>
        
        <div align="center">
        
        [![License](https://img.shields.io/badge/license-MIT-blue.svg)](/LICENSE)
        [![Python](https://img.shields.io/badge/python-v3.7-blue.svg)]()
        
        </div>
        
        ---
        
        <p align="center"> State-of-the art Automated Machine Learning python library for Tabular Data</p>
        
        
        ## Installation
        
        ```python
        pip install automl-alex
        ```
        
        
        ## 🚀 Examples
        
        Classifier:
        ```python
        from automl_alex import AutoMLClassifier
        
        model = AutoMLClassifier(X_train, y_train, X_test,)
        predict_test, predict_train = model.fit_predict(timeout=1000,)
        ```
        
        Regression:
        ```python
        from automl_alex import AutoMLRegressor
        
        model = AutoMLRegressor(X_train, y_train, X_test,)
        predict_test, predict_train = model.fit_predict(timeout=1000,)
        ```
        
        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
        
        
Keywords: machine learning,data science,automated machine learning,automl,hyperparameter optimization,artificial intelligence,ensembling,stacking,blending,deep learning,tensorflow,deeplearning,lightgbm,gradient boosting,gbm,keras
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Information Technology
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6.*
Description-Content-Type: text/markdown
