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fix importError of obsolete scipy.interp with scipy.interpolate #120

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fix importError of obsolete scipy.interp with scipy.interpolate #120

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6 changes: 3 additions & 3 deletions scikitplot/metrics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,7 @@
from sklearn.calibration import calibration_curve
from sklearn.utils import deprecated

from scipy import interp
from scipy import interpolate

from scikitplot.helpers import binary_ks_curve, validate_labels
from scikitplot.helpers import cumulative_gain_curve
Expand Down Expand Up @@ -281,7 +281,7 @@ def plot_roc_curve(y_true, y_probas, title='ROC Curves',
# Then interpolate all ROC curves at this points
mean_tpr = np.zeros_like(all_fpr)
for i in range(len(classes)):
mean_tpr += interp(all_fpr, fpr[i], tpr[i])
mean_tpr += interpolate(all_fpr, fpr[i], tpr[i])

# Finally average it and compute AUC
mean_tpr /= len(classes)
Expand Down Expand Up @@ -440,7 +440,7 @@ def plot_roc(y_true, y_probas, title='ROC Curves',
# Then interpolate all ROC curves at this points
mean_tpr = np.zeros_like(all_fpr)
for i in range(len(classes)):
mean_tpr += interp(all_fpr, fpr_dict[i], tpr_dict[i])
mean_tpr += interpolate(all_fpr, fpr_dict[i], tpr_dict[i])

# Finally average it and compute AUC
mean_tpr /= len(classes)
Expand Down