This guide documents how we set up an easy workflow for using the IPython Notebook on our compute cluster managed with Sun Grid Engine (SGE).
Summary: We provide a script to the cluster users that runs qrsh to schedule an ipython notebook job using SSL and password protection.
| from sklearn.datasets import load_iris | |
| from sklearn.ensemble import RandomForestClassifier | |
| import pandas as pd | |
| import numpy as np | |
| iris = load_iris() | |
| df = pd.DataFrame(iris.data, columns=iris.feature_names) | |
| df['is_train'] = np.random.uniform(0, 1, len(df)) <= .75 | |
| df['species'] = pd.Factor(iris.target, iris.target_names) | |
| df.head() |