Metadata-Version: 2.1
Name: signalslite
Version: 0.1a3
Summary: A small package for Numerai Signals locally
Home-page: https://github.com/parmarsuraj99/signalslite
Author: Suraj Parmar
Author-email: parmarsuraj99@gmail.com
License: UNKNOWN
Description: `pip install signalslite`
        
        Why?
        - I wanted a pipeline that can generate features quickly so I can add, remove, build more features whenever needed. So it should be able to do everything from scratch in couple of hours. Myu initial choice for database was a relational database, could have been ideal. However, it would increase workload of setting things up and writing operation of all stages of data pipeline was slow, so I decided to use  parquet files split into daily structure. This is fast.
        - I also wanted it to run on most users' systems, so It should effortlessly run on consumer grade laptops. Consequently, I wanted to automate the whole pipeline on cloud, so makes sense to make it lite, use parallelization when possible, allow for free data sources.
        - It should be able to run in Colab default runtime. One way to setup a pipeline is to save all data to mounted drive with more storage.
        - Under 1000 LoC possible?
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.8
Description-Content-Type: text/markdown
