Metadata-Version: 2.1
Name: evalml
Version: 0.12.0
Summary: EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.
Home-page: https://www.alteryx.com/innovation-labs
Author: Alteryx, Inc.
Author-email: support@featurelabs.com
License: UNKNOWN
Description: <p align="center">
        <img width=50% src="https://evalml-web-images.s3.amazonaws.com/evalml_horizontal.svg" alt="Featuretools" />
        </p>
        
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        EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.
        
        **Key Functionality**
        
        * **Automation** - Makes machine learning easier. Avoid training and tuning models by hand. Includes data quality checks, cross-validation and more.
        * **Data Checks** - Catches and warns of problems with your data and problem setup before modeling.
        * **End-to-end** - Constructs and optimizes pipelines that include state-of-the-art preprocessing, feature engineering, feature selection, and a variety of modeling techniques.
        * **Model Understanding** - Provides tools to understand and introspect on models, to learn how they'll behave in your problem domain.
        * **Domain-specific** - Includes repository of domain-specific objective functions and an interface to define your own.
        
        ## Install [from PyPI](https://pypi.org/project/evalml/)
        ```shell
        pip install evalml
        ```
        
        ## Start
        
        #### Run AutoML
        ```python
        from evalml.automl import AutoMLSearch
        automl = AutoMLSearch(problem_type='binary')
        automl.search(X_train, y_train)
        ```
        
        #### View pipeline rankings
        ```python
        automl.rankings
        ```
        
        #### Get best pipeline and predict on new data
        ```python
        pipeline = automl.best_pipeline
        pipeline.fit(X_train, y_train)
        pipeline.predict(X_test)
        ```
        
        ## Next Steps
        
        Read more about EvalML on our [documentation page](https://evalml.alteryx.com/):
        
        * [Installation](https://evalml.alteryx.com/en/stable/install.html) and [getting started](https://evalml.alteryx.com/en/stable/start.html).
        * [Tutorials](https://evalml.alteryx.com/en/stable/tutorials.html) on how to use EvalML.
        * [User guide](https://evalml.alteryx.com/en/stable/user_guide.html) which describes EvalML's features.
        * Full [API reference](https://evalml.alteryx.com/en/stable/api_reference.html)
        
        ## Built at Alteryx Innovation Labs
        <a href="https://www.alteryx.com/innovation-labs">
            <img src="https://evalml-web-images.s3.amazonaws.com/alteryx_innovation_labs.png" alt="Alteryx Innovation Labs" />
        </a>
        
Platform: UNKNOWN
Description-Content-Type: text/markdown
