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Fixes #542

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Fixes #542

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1 change: 0 additions & 1 deletion ddmc/figures/figureM5.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,6 @@ def makeFigure():
hue_loadings_title="p < 0.01",
)

print(is_tumor)
plot_p_signal_across_clusters_and_binary_feature(
is_tumor, centers, "is_tumor", axes[3]
)
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4 changes: 2 additions & 2 deletions ddmc/logistic_regression.py
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Expand Up @@ -71,8 +71,8 @@ def plot_roc(
mean_fpr = np.linspace(0, 1, 100)

for _, (train, test) in enumerate(cv.split(X, y)):
classifier.fit(X[train], y[train])
viz = RocCurveDisplay.from_estimator(classifier, X[test], y[test])
classifier.fit(X.iloc[train], y.iloc[train])
viz = RocCurveDisplay.from_estimator(classifier, X.iloc[test], y.iloc[test])
plt.close()
interp_tpr = np.interp(mean_fpr, viz.fpr, viz.tpr)
interp_tpr[0] = 0.0
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