Vaex sample code for Iris data

vaex_iris_sample.py

import vaex
import vaex.ml

# load iris data
df = vaex.ml.datasets.load_iris()

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

# apply standardization transformation
features = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width']
std_scale = vaex.ml.StandardScaler(features=features)
df_train = std_scale.fit_transform(df_train)