Jo-fai Chow woobe

🏡

WFH

Civil Engineer turned Data Scientist

woobe / h2o_save_load_model.R

Last active June 14, 2017 15:39

An example of saving and loading H2O model in R

	# Example: Saving and loading H2O models

	# Using Iris for this example
	d_train <- iris

	# Initialize H2O
	library(h2o)
	h2o.init(nthreads = -1)

	# Train a DRF model

woobe / split_airline_sentiment.py

Created September 11, 2018 18:25

A simple script to split airline sentiment dataset into train and test set

	import numpy as np
	import pandas as pd
	from sklearn import model_selection

	al = pd.read_csv("Airline-Sentiment-2-w-AA.csv", encoding='ISO-8859-1')
	train_al, test_al = model_selection.train_test_split(al, test_size=0.2, random_state=2018)
	train_al.to_csv("train_airline_sentiment.csv", index=False)
	test_al.to_csv("test_airline_sentiment.csv", index=False)

woobe / airline_sentiment_python_api.ipynb

Created September 11, 2018 19:27

Example notebook for Airline Sentiment using Driverless AI's Python API

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woobe / app.py

Created March 17, 2022 09:23

Tutorial - Setup for HAIC App Developers

	from h2o_wave import main, app, Q, ui


	@app('/demo')
	async def serve(q: Q):

	q.page["my_form_card"] = ui.form_card(
	box='1 1 -1 -1',
	items=[
	ui.text("My first app!")