8000 Improve speed plot_permutation_tests_for_classification.py · Pull Request #21649 · scikit-learn/scikit-learn · GitHub
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Improve speed plot_permutation_tests_for_classification.py #21649

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Merged
merged 2 commits into from Nov 16, 2021
Merged

Improve speed plot_permutation_tests_for_classification.py #21649

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5306ed4
Changed the number of features in real and dummy example for increase…
Nov 12, 2021
5146630
Update plot_permutation_tests_for_classification.py
Nov 13, 2021
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6 changes: 3 additions & 3 deletions examples/model_selection/plot_permutation_tests_for_classification.py
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Expand Up @@ -27,14 +27,14 @@
y = iris.target

# %%
# We will also generate some random feature data (i.e., 2200 features),
# We will also generate some random feature data (i.e., 20 features),
# uncorrelated with the class labels in the iris dataset.

import numpy as np

n_uncorrelated_features = 2200
n_uncorrelated_features = 20
rng = np.random.RandomState(seed=0)
# Use same number of samples as in iris and 2200 features
# Use same number of samples as in iris and 20 features
X_rand = rng.normal(size=(X.shape[0], n_uncorrelated_features))

# %%
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