[docs] Changed links to diagrams

docs/source/al_description.rst

@@ -7,7 +7,7 @@ The relevant functions are contained in the class :any:`bayesvalidrox.surrogate_
 .. warning::
    Exploration with 'voronoi' is disabled for release v1.1.0!
 
-.. image:: ./docs/diagrams/active_learning_reduced.png
+.. image:: ./diagrams/active_learning_reduced.png
    :width: 550
    :alt: UML diagram for the classes and functions used in active learning in BayesValidRox.
    

docs/source/bayes_description.rst

@@ -19,7 +19,7 @@ Bayesian inference
 	  
    .. container:: rightside
    
-      .. image:: ./docs/diagrams/bayesian_validation.png
+      .. image:: ./diagrams/bayesian_validation.png
          :width: 300
          :alt: UML diagram for classes related to Bayesian inference.
 
@@ -115,11 +115,11 @@ For inference with MCMC, chain diagnostics are also written out in the console.
 		 
    .. container:: rightside
 
-      .. image:: ./examples/user_guide/Outputs_Bayes_model_Calib/Posterior_Dist_model_emulator.pdf
+      .. image:: ../examples/user_guide/Outputs_Bayes_model_Calib/Posterior_Dist_model_emulator.pdf
          :width: 400
          :alt: Posterior distribution of the input parameter
 		 
-      .. image:: ./examples/user_guide/Outputs_Bayes_model_Calib/Post_Prior_Perd_model_emulator_A.pdf
+      .. image:: ../examples/user_guide/Outputs_Bayes_model_Calib/Post_Prior_Perd_model_emulator_A.pdf
          :width: 400
          :alt: Comparison of posterior prediction to the observation
 		 
\ No newline at end of file

docs/source/bmc_description.rst

@@ -10,7 +10,7 @@ Bayesian multi-model comparison
       
    .. container:: rightside
    
-      .. image:: ./docs/diagrams/bayesian_model_comparison.png
+      .. image:: ./diagrams/bayesian_model_comparison.png
          :width: 400
          :alt: UML diagram for classes related to Bayesian multi-model comparison.
 

docs/source/input_description.rst

@@ -18,7 +18,7 @@ This uncertainty can be described as probability distributions over possible val
 
    .. container:: rightside
    
-      .. image:: ./docs/diagrams/input_classes.png
+      .. image:: ./diagrams/input_classes.png
          :width: 300
          :alt: UML diagram for input-related classes in bayesvalidrox
    
@@ -76,6 +76,6 @@ The generated samples can be visualized against their marginal distributions.
 
 The results will be saved in the folder ``Outputs_Priors``.
 
-.. image:: ./examples/user_guide/Outputs_Priors/prior_$X$.png
+.. image:: ../examples/user_guide/Outputs_Priors/prior_$X$.png
    :width: 400
    :alt: Generated samples against their marginal distribution

docs/source/model_description.rst

@@ -13,7 +13,7 @@ Models
 
    .. container:: rightside
    
-      .. image:: ./docs/diagrams/model.png
+      .. image:: ./diagrams/model.png
          :width: 150
          :alt: UML diagram for the bayesvalidrox class :any:`bayesvalidrox.pylink.pylink.PyLinkForwardModel`.
    

docs/source/packagedescription.rst

@@ -34,7 +34,7 @@ Overview
 This package is split into multiple aspects corresponding to its folder structure.
 
 
-.. image:: ./docs/diagrams/folder_structure.png
+.. image:: ./diagrams/folder_structure.png
    :width: 600
    :alt: Folder structure of **bayesvalidrox**
 

docs/source/post_description.rst

@@ -12,7 +12,7 @@ Postprocessing
 		 
    .. container:: rightside
 
-      .. image:: ./docs/diagrams/postprocessing.png
+      .. image:: ./diagrams/postprocessing.png
          :width: 300
          :alt: UML diagram for the classes and functions used in active learning in BayesValidRox.
 		
@@ -60,7 +60,7 @@ The visual comparison of model and metamodel results is saved in the folder ``Ou
 		 
    .. container:: rightside
 
-      .. image:: ./examples/user_guide/Outputs_PostProcessing_calib/Model_vs_PCEModel_y_1.pdf
+      .. image:: ../examples/user_guide/Outputs_PostProcessing_calib/Model_vs_PCEModel_y_1.pdf
          :width: 400
          :alt: Visual comparison of model and metamodel outputs
 		 
\ No newline at end of file

docs/source/surrogate_description.rst

@@ -8,7 +8,7 @@ We call this dataset the training data, with training samples :math:`(x_i)_{i=1,
 BayesValidRox creates surrogate models as objects of the class :any:`bayesvalidrox.surrogate_models.surrogate_models.MetaModel`.
 Training is performed by the class :any:`bayesvalidrox.surrogate_models.engine.Engine`.
 
-.. image:: ./docs/diagrams/metamod_training_reduced.png
+.. image:: ./diagrams/metamod_training_reduced.png
    :width: 800
    :alt: UML diagram for metamodel-related classes in bayesvalidrox
    
@@ -49,7 +49,7 @@ Other available training methods in BayesValidRox are presented in :any:`al_desc
 	  
    .. container:: rightside
    
-      .. image:: ../diagrams/engine_train_normal.png
+      .. image:: ./diagrams/engine_train_normal.png
          :width: 800
          :alt: Diagram of main steps in ``Engine.train_normal()``