Vaex sample code to titanic dataset

vaex_titanic_sample.py

import vaex
import vaex.ml

# load titanic data
df_vaex = vaex.ml.datasets.load_titanic()

# perform train test split
df_train, df_test = df_vaex.ml.train_test_split(test_size=0.2)

# One-hot encode some features
encoder = vaex.ml.OneHotEncoder(features=['survived', 'sex', 'pclass'])
df_train = encoder.fit_transform(df_train)