ML to Web

Make a quick demo website for your sklearn models

Installation

pip install git+https://github.com/theSage21/mltoweb

Usage

import mltoweb
import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier


est = RandomForestClassifier()
X = pd.DataFrame(np.random.random((10, 3)), columns=['x', 'y', 'z'])
y = (X < 0.5).astype(int)


mltoweb.make_web(est, X, y, 'web')

This creates 2 files in a directory called web, namely:

• estimator.pickle: This is the pickle of the estimator used to create predictions
• website.py: A bottle app which provides a form to start getting predictions from your data