julien-c/wine-quality简介

Wine Quality classification

A Simple Example of Scikit-learn Pipeline

Inspired by https://towardsdatascience.com/a-simple-example-of-pipeline-in-machine-learning-with-scikit-learn-e726ffbb6976 by Saptashwa Bhattacharyya

How to use

from huggingface_hub import hf_hub_url, cached_download
import joblib
import pandas as pd
REPO_ID = "julien-c/wine-quality"
FILENAME = "sklearn_model.joblib"
model = joblib.load(cached_download(
hf_hub_url(REPO_ID, FILENAME)
))
# model is a `sklearn.pipeline.Pipeline`


Get sample data from this repo

data_file = cached_download(
hf_hub_url(REPO_ID, "winequality-red.csv")
)
winedf = pd.read_csv(data_file, sep=";")
X = winedf.drop(["quality"], axis=1)
Y = winedf["quality"]
print(X[:3])
fixed acidity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol 0 7.4 0.7 0 1.9 0.076 11 34 0.9978 3.51 0.56 9.4 1 7.8 0.88 0 2.6 0.098 25 67 0.9968 3.2 0.68 9.8 2 7.8 0.76 0.04 2.3 0.092 15 54 0.997 3.26 0.65 9.8