woobe
/ split_airline_sentiment.py
Created
September 11, 2018 18:25
A simple script to split airline sentiment dataset into train and test set
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| 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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| 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!") |
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