Metadata-Version: 2.1
Name: automl-tools
Version: 0.1.0
Summary: automl_tools
Home-page: https://github.com/jonaqp/automl_tools/
Author: Jonathan Quiza
Author-email: jony327@gmail.com
License: UNKNOWN
Download-URL: https://github.com/jonaqp/automl_tools/archive/main.zip
Description: # Automl_tools: automl binary classification
        
        [![Github License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
        
        
        Automl_tools is a Python library that implements Gradient Boosting
        ## Installation
        
        ```sh
        pip install automl-tools
        ```
        
        ## Usage
        
        Probabilistic binary example on the Boston housing dataset:
        
        ```python
        import pandas as pd
        from automl_tools.main import automl_run
        
        train = pd.read_csv("https://raw.githubusercontent.com/jonaqp/automl_tools/main/automl_tools/examples/train.csv?token=AAN2ZBGCYYR7PATAMC6NIKDABSDCQ", sep=";")
        test = pd.read_csv("https://raw.githubusercontent.com/jonaqp/automl_tools/main/automl_tools/examples/test.csv?token=AAN2ZBBD63PDQLGJNUWVHOLABSC4O", sep=";")
        
        automl_run(train=train,
                   test=test,
                   target_col="Survived",
                   imp_num="knn",
                   imp_cat="knn",
                   processing="binding",
                   mutual_information=False,
                   correlation_drop=False,
                   model_feature_selection=None,
                   model_run="LR",
                   augmentation=True,
                   Stratified=True)
        
        ```
        
        
        ## License
        
        [Apache License 2.0](https://github.com/stanfordmlgroup/ngboost/blob/master/LICENSE).
        
        
        ## New features v2.1
         * multiclass
         * regression
        
        ## Reference
        Jonathan Quiza binary automl.
        
        
Keywords: banking
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.6
Description-Content-Type: text/markdown
