Metadata-Version: 2.1
Name: ml-experiment
Version: 0.0.7
Summary: Machine Learning Experiment Framework
Home-page: https://github.com/stephenhky/ml-experiment
Author: Kwan-Yuet Ho
Author-email: stephenhky@yahoo.com.hk
License: MIT
Description: ## Introduction
        
        This Python package facilitates the fast prototyping of
        machine learning model with great scalability and flexibility.
        
        Characteristics of this package:
        
        * Flexibility of Feature Engineering: it is convenient to define a function to 
        put to feature-processing pipeline;
        * Flexibility of Models: there is no restriction about whether you have to use
        scikit-learn, TensorFlow, or PyTorch;
        * Few Specifications on Models: user only need to worry about the `fit`
        and `predict_proba`;
        * Training Job Specifications: features, data locations, model specifications can
        be specified in a Python dictionary or JSON, facilitating potential
        MapReduce or parallelism;
        * Scalability: data is stored temporarily in disks in batch
        to save memory space;
        * Statistics: statistical measures of the performance of the models and
        their class labels are calculated;
        * Cross Validation: cross validation option is available.
        * Ready Adaptation to Production: data pipelines and algorithms can be adapted into
        production codes with little changes.
        
        There will be tutorials and documentations.
        
        ## News
        
        * 04/11/2021: `0.0.7` released.
        * 06/24/2020: `0.0.6` released.
        * 05/31/2020: `0.0.5` released.
        * 05/12/2020: `0.0.4` released.
        * 05/03/2020: `0.0.3` released.
        * 04/29/2020: `0.0.2` released.
        * 04/24/2020: `0.0.1` released.
        
Keywords: machine learning
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Topic :: Software Development :: Version Control :: Git
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Description-Content-Type: text/markdown
