## 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
1 maintainer
Metadata
1 maintainer
Release files for aresy 0.0.8
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