From 7f42e57c61beac0803d3a0f1123590a7e56860c7 Mon Sep 17 00:00:00 2001
From: Danilo Ferreira de Lima <danilo.enoque.ferreira.de.lima@xfel.de>
Date: Mon, 27 Feb 2023 15:42:00 +0100
Subject: [PATCH] Fixed intensity sigma.
---
pes_to_spec/model.py | 3 +--
1 file changed, 1 insertion(+), 2 deletions(-)
diff --git a/pes_to_spec/model.py b/pes_to_spec/model.py
index 91bfa8a..fa1d949 100644
--- a/pes_to_spec/model.py
+++ b/pes_to_spec/model.py
@@ -811,7 +811,7 @@ class Model(TransformerMixin, BaseEstimator):
self.kde_intensity = KernelDensity()
self.kde_intensity.fit(intensity.reshape(-1, 1))
self.mu_intensity = np.mean(intensity, axis=0)
- self.sigma_intensity = np.mean(intensity, axis=0)
+ self.sigma_intensity = np.std(intensity, axis=0)
#self.fit_model.set_params(fex__gamma=1.0/float(x_t.shape[0]))
print("Fitting outlier detection")
self.ood['full'].fit(x_t)
@@ -916,7 +916,6 @@ class Model(TransformerMixin, BaseEstimator):
unc=unc,
pca=pca_unc,
total_unc=total_unc,
- inlier=self.ood['full'].predict(low_pca),
Z_intensity=Z_intensity
)
--
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