From 69f3039b3b9c2b75288c4bf79719002c8e77940d Mon Sep 17 00:00:00 2001 From: Nathanael Perraudin Date: Wed, 3 Jan 2018 17:46:44 +0100 Subject: [PATCH] update doc and test bugs --- pygsp/graphs/nngraphs/sensorlarge.py | 2 +- pygsp/tests/test_learning.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/pygsp/graphs/nngraphs/sensorlarge.py b/pygsp/graphs/nngraphs/sensorlarge.py index 55fba812..9a8f7f07 100644 --- a/pygsp/graphs/nngraphs/sensorlarge.py +++ b/pygsp/graphs/nngraphs/sensorlarge.py @@ -24,7 +24,7 @@ class SensorLarge(NNGraph): -------- >>> import matplotlib.pyplot as plt >>> G = graphs.SensorLarge(N=3000, seed=42) - >>> plt.spy(G.W, markersize=2) + >>> _ = plt.spy(G.W, markersize=2) """ diff --git a/pygsp/tests/test_learning.py b/pygsp/tests/test_learning.py index ad74157b..543a6924 100644 --- a/pygsp/tests/test_learning.py +++ b/pygsp/tests/test_learning.py @@ -80,7 +80,7 @@ def filt(x): measurements[M == False] = 0 L = G.L.toarray() - recovery = np.linalg.inv(np.diag(1*M) + tau * L) @ (M * measurements.T).T + recovery = np.matmul(np.linalg.inv(np.diag(1*M) + tau * L), (M * measurements.T).T) # Solve the problem recovery0 = learning.regression_tik(G, measurements, M, tau=tau)