Metadata-Version: 2.1
Name: lale
Version: 0.5.2
Summary: Library for Semi-Automated Data Science
Home-page: UNKNOWN
Author: 
License: UNKNOWN
Description: # Lale
        
        [![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
        <br />
        
        Lale is a Python library for semi-automated data science.
        Lale makes it easy to automatically select algorithms and tune
        hyperparameters of pipelines that are compatible with
        [scikit-learn](https://scikit-learn.org), in a type-safe fashion.  If
        you are a data scientist who wants to experiment with automated
        machine learning, this library is for you!
        Lale adds value beyond scikit-learn along three dimensions:
        automation, correctness checks, and interoperability.
        For *automation*, Lale provides a consistent high-level interface to
        existing pipeline search tools including Hyperopt, GridSearchCV, and SMAC.
        For *correctness checks*, Lale uses JSON Schema to catch mistakes when
        there is a mismatch between hyperparameters and their type, or between
        data and operators.
        And for *interoperability*, Lale has a growing library of transformers
        and estimators from popular libraries such as scikit-learn, XGBoost,
        PyTorch etc.
        Lale can be installed just like any other Python package and can be
        edited with off-the-shelf Python tools such as Jupyter notebooks.
        
        The name Lale, pronounced *laleh*, comes from the Persian word for
        tulip. Similarly to popular machine-learning libraries such as
        scikit-learn, Lale is also just a Python library, not a new stand-alone
        programming language. It does not require users to install new tools
        nor learn new syntax.
        
        Lale is distributed under the terms of the Apache 2.0 License, see
        [LICENSE.txt].
        It is currently in an **Alpha release**, without warranties of any
        kind.
        
Platform: UNKNOWN
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: full
Provides-Extra: dev
Provides-Extra: test
