From 7bb90cf6047ba2a053da08a1f2b8e1c91e16c9c9 Mon Sep 17 00:00:00 2001
From: Danilo Ferreira de Lima <danilo.enoque.ferreira.de.lima@xfel.de>
Date: Tue, 28 Feb 2023 17:54:51 +0100
Subject: [PATCH] Removed Z.
---
pes_to_spec/__init__.py | 2 +-
pes_to_spec/model.py | 3 ---
2 files changed, 1 insertion(+), 4 deletions(-)
diff --git a/pes_to_spec/__init__.py b/pes_to_spec/__init__.py
index ddad2de..fb5f5ab 100644
--- a/pes_to_spec/__init__.py
+++ b/pes_to_spec/__init__.py
@@ -2,4 +2,4 @@
Estimate high-resolution photon spectrometer data from low-resolution non-invasive measurements.
"""
-VERSION = "0.1.3"
+VERSION = "0.1.4"
diff --git a/pes_to_spec/model.py b/pes_to_spec/model.py
index 396138f..2276bac 100644
--- a/pes_to_spec/model.py
+++ b/pes_to_spec/model.py
@@ -991,8 +991,6 @@ class Model(TransformerMixin, BaseEstimator):
low_res_pre = self.x_select.transform(low_res_data)
low_pca = self.x_model.transform(low_res_pre)
high_pca, high_pca_unc = self.fit_model.predict(low_pca, return_std=True)
- intensity = np.sum(high_pca, axis=1, keepdims=True)
- Z_intensity = (intensity - self.mu_intensity)/self.sigma_intensity
#high_pca = self.fit_model.predict(low_pca)
#high_pca_unc = 0
n_trains = high_pca.shape[0]
@@ -1021,7 +1019,6 @@ class Model(TransformerMixin, BaseEstimator):
pca=pca_unc,
total_unc=total_unc,
deconvolved=deconvolved,
- Z_intensity=Z_intensity
)
def save(self, filename: str):
--
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