Convert X to array in kernels

Teichlab · Oct 31, 2020 · 87b908b · 87b908b
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commit 87b908b
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diff --git a/Analysis/MouseOB/MOB_clusters.pdf b/Analysis/MouseOB/MOB_clusters.pdf
diff --git a/Analysis/MouseOB/MOB_significance_comparison.pdf b/Analysis/MouseOB/MOB_significance_comparison.pdf
diff --git a/Analysis/MouseOB/PCA_MOB.pdf b/Analysis/MouseOB/PCA_MOB.pdf
diff --git a/Analysis/MouseOB/mob-gmm-weights.pdf b/Analysis/MouseOB/mob-gmm-weights.pdf
diff --git a/Python-module/SpatialDE/base.py b/Python-module/SpatialDE/base.py
@@ -36,6 +36,7 @@ def get_l_limits(X):
 ## Kernels ##
 
 def SE_kernel(X, l):
+    X = np.array(X)
     Xsq = np.sum(np.square(X), 1)
     R2 = -2. * np.dot(X, X.T) + (Xsq[:, None] + Xsq[None, :])
     R2 = np.clip(R2, 1e-12, np.inf)
@@ -52,6 +53,7 @@ def cosine_kernel(X, p):
 
     Easier interpretable composability with SE?
     '''
+    X = np.array(X)
     Xsq = np.sum(np.square(X), 1)
     R2 = -2. * np.dot(X, X.T) + (Xsq[:, None] + Xsq[None, :])
     R2 = np.clip(R2, 1e-12, np.inf)