Mercurial > repos > bgruening > run_jupyter_job
view test-data/scikit-script.py @ 2:bf2963c9bcdc draft default tip
planemo upload for repository https://github.com/bgruening/galaxytools/tree/master/tools/jupyter_job commit c21261bb8373090c26cf5195134b30538b5bc714
author | bgruening |
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date | Fri, 20 Jan 2023 10:49:03 +0000 |
parents | f4619200cb0a |
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# Train a model. from sklearn.datasets import load_iris from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import train_test_split iris = load_iris() X, y = iris.data, iris.target X, y = X[:20], y[:20] loss = list() X_train, X_test, y_train, y_test = train_test_split(X, y) clr = RandomForestClassifier(n_estimators=5) clr.fit(X_train, y_train) clr.score(X_test, y_test)