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np.float to float #12

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np.float to float #12

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10 changes: 5 additions & 5 deletions compare_auc_delong_xu.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,15 +14,15 @@ def compute_midrank(x):
J = np.argsort(x)
Z = x[J]
N = len(x)
T = np.zeros(N, dtype=np.float)
T = np.zeros(N, dtype=float)
i = 0
while i < N:
j = i
while j < N and Z[j] == Z[i]:
j += 1
T[i:j] = 0.5*(i + j - 1)
i = j
T2 = np.empty(N, dtype=np.float)
T2 = np.empty(N, dtype=float)
# Note(kazeevn) +1 is due to Python using 0-based indexing
# instead of 1-based in the AUC formula in the paper
T2[J] = T + 1
Expand Down Expand Up @@ -58,9 +58,9 @@ def fastDeLong(predictions_sorted_transposed, label_1_count):
negative_examples = predictions_sorted_transposed[:, m:]
k = predictions_sorted_transposed.shape[0]

tx = np.empty([k, m], dtype=np.float)
ty = np.empty([k, n], dtype=np.float)
tz = np.empty([k, m + n], dtype=np.float)
tx = np.empty([k, m], dtype=float)
ty = np.empty([k, n], dtype=float)
tz = np.empty([k, m + n], dtype=float)
for r in range(k):
tx[r, :] = compute_midrank(positive_examples[r, :])
ty[r, :] = compute_midrank(negative_examples[r, :])
Expand Down