Using Machine Learning to learn how to Compress
Project description
Try it live at https://shrynk.ai
Usage
Installation:
pip install shrynk
Then in Python:
from shrynk.pandas import save, load
file_path = save(my_df, "mypath")
# e.g. mypath.csv.bz2
loaded_df = load(file_path)
Add your own data
If you want more control you can do the following:
import pandas as pd
from shrynk.pandas import PandasCompressor
df = pd.DataFrame({"a": [1, 2, 3]})
pdc = PandasCompressor("default")
pdc.run_benchmarks([df], save=False) # adds data to the default
pdc.train_model(size=3, write=1, read=1)
pdc.infer(df)
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