aresy 0.0.8

## 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