Trying to reduce white space for saved matplotlib images

This commit is contained in:
2024-04-19 16:00:37 +02:00
parent 2680973baf
commit afa70fc3b3
17 changed files with 345 additions and 269 deletions

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@@ -319,6 +319,26 @@ Comparing the results from the autoregressive and non-autoregressive linear mode
% TODO: Is this reasoning correct? + Explain the results more we see in the table (Weird results :( )
Because of error propagation in the autoregressive model, the outputted quantiles also contain more error which leads to a higher CRPS. The non-autoregressive model does not suffer from this problem.
\\\\
% figure with 2 models compared (left with 4 row examples and right with 4 row examples), autoregressive vs non-autoregressive
\begin{figure}[ht]
\centering
\begin{adjustbox}{width=1.3\textwidth,center}
\begin{subfigure}[b]{0.7\textwidth}
\includegraphics[width=\textwidth]{images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png}
\caption{Autoregressive model}
\label{fig:linear_model_sample_comparison_autoregressive}
\end{subfigure}
\hfill
\begin{subfigure}[b]{0.7\textwidth}
\includegraphics[width=\textwidth]{images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png}
\caption{Non-autoregressive model}
\label{fig:linear_model_sample_comparison_non_autoregressive}
\end{subfigure}
\end{adjustbox}
\caption{Comparison of the autoregressive and non-autoregressive linear models. The plots show the confidence intervals calculated from 1000 generated full-day NRV samples. The samples were generated using input features NRV, Load, Wind, PV, Net Position and the quarter embedding.}
\label{fig:linear_model_sample_comparison}
\end{figure}

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@@ -16,6 +16,7 @@
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\@outlinefile=\write4
\openout4 = `verslag.out'.
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File: ugent-en.pdf Graphic file (type pdf)
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@@ -1397,17 +1432,21 @@ File: images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV
<use images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Sample_7008.png>
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File: images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png Graphic file (type png)
<use images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png>
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<use images/quantile_regression/naqr_linear_model_samples/NAQR_NRV_Load_Wind_PV_NP-Example_864_samples.png>
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@@ -24,6 +24,10 @@
\usepackage{bbm}
\usepackage{booktabs}
\usepackage{subcaption}
\usepackage{adjustbox}
\usepackage{caption}
\usepackage{subcaption}
\newcolumntype{C}{>{\centering\arraybackslash}X}

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@@ -71,7 +71,7 @@ class AutoRegressiveTrainer(Trainer):
)
else:
fig.savefig(f"sample_{actual_idx}_plot.png")
fig.savefig(f"sample_{actual_idx}_plot.png", bbox_inches="tight")
task.get_logger().report_image(
title="Final Training Plot",
series=f"Sample {actual_idx}",
@@ -79,7 +79,9 @@ class AutoRegressiveTrainer(Trainer):
local_path=f"sample_{actual_idx}_plot.png",
)
fig2.savefig(f"sample_{actual_idx}_samples_plot.png")
fig2.savefig(
f"sample_{actual_idx}_samples_plot.png", bbox_inches="tight"
)
task.get_logger().report_image(
title="Final Training Samples Plot",
series=f"Sample {actual_idx} samples",

View File

@@ -670,7 +670,7 @@ class NonAutoRegressiveQuantileRegression(Trainer):
else:
print("Saving figs")
# fig to PIL image
fig.savefig(f"sample_{actual_idx}_plot.png")
fig.savefig(f"sample_{actual_idx}_plot.png", bbox_inches="tight")
task.get_logger().report_image(
title="Final Training Plot",
series=f"Sample {actual_idx}",
@@ -678,7 +678,9 @@ class NonAutoRegressiveQuantileRegression(Trainer):
local_path=f"sample_{actual_idx}_plot.png",
)
fig2.savefig(f"sample_{actual_idx}_samples_plot.png")
fig2.savefig(
f"sample_{actual_idx}_samples_plot.png", bbox_inches="tight"
)
task.get_logger().report_image(
title="Final Training Samples Plot",
series=f"Sample {actual_idx} samples",

View File

@@ -362,7 +362,7 @@ class Trainer:
else:
print("Saving final plots")
# fig to PIL image
fig.savefig(f"sample_{actual_idx}_plot.png")
fig.savefig(f"sample_{actual_idx}_plot.png", bbox_inches="tight")
task.get_logger().report_image(
title="Final Training Plot",
series=f"Sample {actual_idx}",
@@ -370,7 +370,9 @@ class Trainer:
local_path=f"sample_{actual_idx}_plot.png",
)
fig2.savefig(f"sample_{actual_idx}_samples_plot.png")
fig2.savefig(
f"sample_{actual_idx}_samples_plot.png", bbox_inches="tight"
)
task.get_logger().report_image(
title="Final Training Samples Plot",
series=f"Sample {actual_idx} samples",