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DOC fix very different results on readthedocs
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examples/plot_pruning.py

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@@ -75,7 +75,6 @@ def _fastcan_pruning(
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X.T, atoms.T, n_samples_to_select, batch_size=batch_size, verbose=0
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)
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pruned_lr = LogisticRegression(max_iter=1000).fit(X[ids_fastcan], y[ids_fastcan])
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print(atoms[-1], ids_fastcan[-10:])
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return pruned_lr.coef_, pruned_lr.intercept_
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pixi.lock

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