From 86ac83dbe6ebba18fa963b14b5c05f7996ede89c Mon Sep 17 00:00:00 2001
From: DIANE <abderrahim.diane@cefe.cnrs.fr>
Date: Mon, 2 Dec 2024 16:55:25 +0100
Subject: [PATCH] joblib dump
---
src/report/report.py | 21 +++++++++++----------
src/shared_imports.py | 2 +-
2 files changed, 12 insertions(+), 11 deletions(-)
diff --git a/src/report/report.py b/src/report/report.py
index 1bd06b2..0a3a171 100644
--- a/src/report/report.py
+++ b/src/report/report.py
@@ -320,7 +320,7 @@ def report(*args):
latex_report += r"""
\begin{figure}[H]
\centering
- \includegraphics[width=1\linewidth]{Histogram.png}
+ \includegraphics[width=1\linewidth]{kdeplot.png}
\caption{Kde plot visualizing the distribution of the target variable, a subset of training, and testing sets}
\label{fig:Histogram}
\end{figure}
@@ -351,16 +351,17 @@ def report(*args):
latex_report += df1.style.format("${:.2f}$").to_latex(position_float = 'centering', hrules = True, caption = 'Model performances summary', label= 'table:reg_perf')
if "PLS" in to_report:
- latex_report += r"""To identify the most important and influential spectral regions in the model, Selectivity ratio (SR) \cite{kvalheim2020variable, farres2015comparison} test applied, and the important variables in the model were
- visualized in \cref{fig:importance}. \par
+ # latex_report += r"""To identify the most important and influential spectral regions in the model, Selectivity ratio (SR) \cite{kvalheim2020variable, farres2015comparison} test applied, and the important variables in the model were
+ # visualized in \cref{fig:importance}. \par
- \begin{figure}[h]
- \centering
- \includegraphics[width=1\linewidth]{Variable_importance.png}
- \caption{Visualizing important spectral regions identified in the PLS model on the raw and preprocessed average spectrum}
- \label{fig:importance}
- \end{figure}
- """
+ # \begin{figure}[h]
+ # \centering
+ # \includegraphics[width=1\linewidth]{Variable_importance.png}
+ # \caption{Visualizing important spectral regions identified in the PLS model on the raw and preprocessed average spectrum}
+ # \label{fig:importance}
+ # \end{figure}
+ # """
+ pass
elif "LW-PLS" in to_report:
latex_report += r"""The average of raw and preprocessed spectra is visualized in \cref{fig:importance}. \par
diff --git a/src/shared_imports.py b/src/shared_imports.py
index 2b8745e..a6e0ccf 100644
--- a/src/shared_imports.py
+++ b/src/shared_imports.py
@@ -45,7 +45,7 @@ import pyodbc
import json
# save models
-from joblib import dump, load, hash
+from joblib import load, hash
st.set_option('deprecation.showPyplotGlobalUse', False)
--
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