Metadata-Version: 2.1
Name: aresy
Version: 0.0.7
Summary: An industrial-strength data science toolkits
Home-page: https://github.com/tangzhy/aresy
Author: Zhengyang Tang
Author-email: zytang7@gmail.com
License: UNKNOWN
Description: ## Home
        Built on popular scientific computing toolkits, aresy aims to make it easy to process large-scale data on a single server. aresy treats the whole data flow as a computation graph, where the input data will be put into placeholders, and you can perform nearly any python-based transformation by extending the graph. aresy was designed with the following principles:
        
        - Compatible with python data science ecosystem, such as numpy, pytorch, tensorflow modules.
        - Able to process cross-type, cross-domain, cross-granularity data simultaneously.
        - Easy to build a large feature generator, a transformer or even a data loader to feed preprocessed data into deep learning models.
        
        ## Installation
        ```shell
        python setup.py install
        ```
        
        ## Package Reference
        
        - aresy.formatting
            - aresy.formatting.TSVDataLoader
            - aresy.formatting.TSVPlaceholder
        
        - aresy.preprocessing
            - aresy.preprocessing.WrangleFloat
            - aresy.preprocessing.WrangleStr
            - aresy.preprocessing.WrangleNormalDatetime
        
        - aresy.aggregating
            - aresy.aggregating.Sum
            - aresy.aggregating.Mean
            - aresy.aggregating.Std
            - aresy.aggregating.Max
            - aresy.aggregating.Min
            - aresy.aggregating.Quantile
        
        - aresy.utils
            - aresy.wrap\_outputs\_to\_json
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
