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b/dev/notebooks/0.1-Theory.html index 65050aae4..723a6efb7 100644 --- a/dev/notebooks/0.1-Theory.html +++ b/dev/notebooks/0.1-Theory.html @@ -917,10 +917,10 @@

System configuration diff --git a/dev/notebooks/0.2-Creating_networks.html b/dev/notebooks/0.2-Creating_networks.html index 1e6861cb1..68060881c 100644 --- a/dev/notebooks/0.2-Creating_networks.html +++ b/dev/notebooks/0.2-Creating_networks.html @@ -740,7 +740,7 @@
Continuous value coupling -../_images/a571258fb6beda325b75ecbadcaa32b873df7dfd8f26e210f26ec346c783d4c2.png +../_images/e4040d97f7d89d27ce7209da2556826dbd6687aff48c728c27aa5cea068cfe34.png
@@ -1080,10 +1080,10 @@

System configuration

diff --git a/dev/notebooks/1.1-Binary_HGF.html b/dev/notebooks/1.1-Binary_HGF.html index 37a2a5ae9..d17a93a29 100644 --- a/dev/notebooks/1.1-Binary_HGF.html +++ b/dev/notebooks/1.1-Binary_HGF.html @@ -51,7 +51,7 @@ - + @@ -796,14 +796,14 @@

Sampling self.pid = os.fork() -
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
+
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
   self.pid = os.fork()
 

 

 

 
 

-
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 5 seconds.
+
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 6 seconds.
 

 

 
We recommend running at least 4 chains for robust computation of convergence diagnostics
@@ -819,7 +819,7 @@ 
Sampling
 

 

 

-../_images/4b06cdfa3d8e1990336371b372109b76fb04515c4bddc1ee7eecdc4ed77df7a7.png
+../_images/e9cc412ab4a43f26334a3afd915d9dd0dc6aa4c83ee4d79c0c2c9d24cbf7ae4f.png
 

 

 
@@ -857,7 +857,7 @@ 
Using the learned parameters
-../_images/c44665cef3f23e2cc9af05b7a8d0532cf64d61efb19f62260ce6c3e311f91a30.png
+../_images/b4e4bd0781cd41dce47cebc6fae04492e255a65b40ea3b953e8fa312860988dd.png
 

 

 

@@ -867,7 +867,7 @@ 
Using the learned parameters
-
Array(202.5299, dtype=float32)
+
Array(202.5298, dtype=float32)
 

 

 

@@ -919,7 +919,7 @@ 
Visualizing the model
-../_images/e3093df40c606a365fce51328bb90c832e9b204e89fed0d0688e3e2fdb1677dd.svg

+../_images/906f003ac3c62510821da40b51513f921c716a616f423184ce543353e719929c.svg

 
 
 

@@ -948,14 +948,14 @@ 
Sampling#
   self.pid = os.fork()
 
 
-
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
+
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
   self.pid = os.fork()
 

 

 

 
 

-
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 7 seconds.
+
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 8 seconds.
 

 

 
We recommend running at least 4 chains for robust computation of convergence diagnostics
@@ -971,7 +971,7 @@ 
Sampling#
 

 

 

-../_images/e5979126a01caa285b21ea8197b18cc2be6202cd2675a0c6098935d333a3d400.png
+../_images/ebb0c2c65b42d84711f4e880148c23d0ffe13f471c34059d78f2302c5bd4f462.png
 

 

 

@@ -1010,7 +1010,7 @@ 
Using the learned parameters
-../_images/8d30c1c1d684348db5a134c4f5d3c2515478bb32fe557f5d999735567ad4836e.png
+../_images/df8d627443eebe63b5a73daeb10397b31ebbe4a5c8f5c0eb501a56c34fec68ea.png
 
 
 

@@ -1020,7 +1020,7 @@ 
Using the learned parameters
-
Array(203.00668, dtype=float32)
+
Array(203.00781, dtype=float32)
 

 

 

@@ -1048,12 +1048,12 @@ 
System configuration

diff --git a/dev/notebooks/1.2-Categorical_HGF.html b/dev/notebooks/1.2-Categorical_HGF.html
index 855c2c461..bbcbd320b 100644
--- a/dev/notebooks/1.2-Categorical_HGF.html
+++ b/dev/notebooks/1.2-Categorical_HGF.html
@@ -579,7 +579,7 @@ 
Simulating a dataset
 

 

-../_images/8810133d7f88de33359c55aedfe4ed03e69cea137980f12241f1540ead2479c6.png
+../_images/3c472ef7847fa5dad6529cb245e6409aab69f0603422e26b20b83c6995b23de1.png
 

 
 

@@ -693,7 +693,7 @@ 
Fitting the model forwards
-../_images/9f8bdb201bc220a7f323291beb6a8fa748c29c49dbbe3306ed77cd881ec6e848.png
+../_images/bd3eb55cc67076225e582b7bd449709b6bf89bdb9c51870b7a8a2fca03996b22.png
 

 
 
@@ -851,14 +851,14 @@ 
System configuration
diff --git a/dev/notebooks/1.3-Continuous_HGF.html b/dev/notebooks/1.3-Continuous_HGF.html
index 58d98849c..514ed1814 100644
--- a/dev/notebooks/1.3-Continuous_HGF.html
+++ b/dev/notebooks/1.3-Continuous_HGF.html
@@ -51,7 +51,7 @@
     
     
     
-    
+    
     
     
     
@@ -821,7 +821,7 @@ 
Visualizing the model
 
 

-../_images/276f245ebd9fd4bcae5e926f51a69ac0c4a8b7994776641b7ca80207aba0e073.svg

+../_images/0747ca4d2db1d73075db0036fa2d7adb40e86a06d3c587c73103c1d2a5698bb6.svg
 
 
 

@@ -850,7 +850,7 @@ 
Sampling
   self.pid = os.fork()
 
 
-
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
+
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
   self.pid = os.fork()
 

 

@@ -873,7 +873,7 @@ 
Sampling
 

 

 

-../_images/41192e6dbbfd90a80c5cf2532181687c500524e20030a09383f65ac63109dc3e.png
+../_images/8b4fbc266b4a9953bc5630494130791c3769e0f640b2d71c33c19cac071cbf2d.png
 

 
 

@@ -908,7 +908,7 @@ 
Using the learned parameters
-../_images/6baff1c48b8c4845bd357d8a06572668ecb5f508d9e053a43688185a0ef4e8c6.png
+../_images/56ab5731e7a6f86a3f885cd176136b5aa31fb92ce091d315e6e66961268546fc.png
 
 
 

@@ -918,7 +918,7 @@ 
Using the learned parameters
-
Array(-1106.1034, dtype=float32)
+
Array(-1106.1139, dtype=float32)
 

 

 

@@ -968,7 +968,7 @@ 
Visualizing the model
-../_images/276f245ebd9fd4bcae5e926f51a69ac0c4a8b7994776641b7ca80207aba0e073.svg

+../_images/0747ca4d2db1d73075db0036fa2d7adb40e86a06d3c587c73103c1d2a5698bb6.svg

 
 
 

@@ -997,14 +997,14 @@ 
Sampling#
   self.pid = os.fork()
 
 
-
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
+
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
   self.pid = os.fork()
 

 

 

 
 

-
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 9 seconds.
+
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 10 seconds.
 

 

 
We recommend running at least 4 chains for robust computation of convergence diagnostics
@@ -1020,7 +1020,7 @@ 
Sampling#
 

 

 

-../_images/4f4949364c0e795c83e2f0892acd72e0c722302cfdd1e3ecfec78fab9d458359.png
+../_images/f57d48e04f76bf04ea38be0c55cd0c946232480821428bafe60124ad8e5ce32b.png
 

 

 

@@ -1054,7 +1054,7 @@ 
Using the learned parameters
-../_images/e10eedbd2209a5c8f2b5534d497cccb5e7e22884cbb0f6c34b72b7d74a6e5f71.png
+../_images/036da91ae089f35007fdaa44e2c1929309f9c55ad98fe3e5d107b24ec47194ea.png
 
 
 

@@ -1064,7 +1064,7 @@ 
Using the learned parameters
-
Array(-1118.0819, dtype=float32)
+
Array(-1118.0731, dtype=float32)
 

 

 

@@ -1092,12 +1092,12 @@ 
System configuration

diff --git a/dev/notebooks/2-Using_custom_response_functions.html b/dev/notebooks/2-Using_custom_response_functions.html
index 8ee2d5f0e..afee1633c 100644
--- a/dev/notebooks/2-Using_custom_response_functions.html
+++ b/dev/notebooks/2-Using_custom_response_functions.html
@@ -51,7 +51,7 @@
     
     
     
-    
+    
     
     
     
@@ -892,16 +892,16 @@ 
Recovering HGF parameters from the observed behaviors
NUTS: [tonic_volatility_2]
 

 

-

+

 
 

-

+

 
 

-

+

 
 

-

+

 
 

 
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 9 seconds.
@@ -950,19 +950,19 @@ 
Recovering HGF parameters from the observed behaviors
     
       tonic_volatility_2
-      -3.943
-      0.504
-      -4.886
-      -3.022
+      -3.949
+      0.493
+      -4.841
+      -2.977
       0.012
       0.009
-      1670.0
-      2500.0
+      1642.0
+      2368.0
       1.0
     
   
 
-
../_images/fdaca79df56a269d6f63768bbbc162a18e7f66828e45e574101e3d3bbc7751ca.png
+
../_images/09e8518401c0aeecdc0098ec736461ba5f5bd1d52a6b87cf21653773d20a5170.png
 
 
 
The results above indicate that given the responses provided by the participant, the most likely values for the parameter \(\omega_2\) are between -4.9 and -3.1, with a mean at -3.9 (you can find slightly different values if you sample different actions from the decisions function). We can consider this as an excellent estimate given the sparsity of the data, and the complexity of the model.

@@ -1000,12 +1000,12 @@ 
System configuration
diff --git a/dev/notebooks/3-Multilevel_HGF.html b/dev/notebooks/3-Multilevel_HGF.html
index 2a2cca64a..ebacd3085 100644
--- a/dev/notebooks/3-Multilevel_HGF.html
+++ b/dev/notebooks/3-Multilevel_HGF.html
@@ -51,7 +51,7 @@
     
     
     
-    
+    
     
     
     
@@ -711,7 +711,7 @@ 
Plot the computational graph
-../_images/7395ed9f5328e5db8d43340f971f5bc801d7f16aaf0e5c58bb3078121d6d53a9.svg
+../_images/0e86faf68a9a7b0c3d137a7e5e4a9874bbe4327cb55faece3296e9fb6dbb9f4b.svg
 
 
 

@@ -736,15 +736,18 @@ 
Sampling
 
NUTS: [mu_volatility, sigma_volatility, volatility, mu_temperature, sigma_temperature, inverse_temperature]
 

 

-

+

 
 

-

+

 
 

 
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 59 seconds.
 

 

+
There were 1 divergences after tuning. Increase `target_accept` or reparameterize.
+

+

 
We recommend running at least 4 chains for robust computation of convergence diagnostics
 

 

@@ -761,7 +764,7 @@ 
Visualization of the posterior distributions
-../_images/e582a6b11445634d77c7d16dddb828ddd0c34e5a78f2a978e366ca8af02be2d6.png
+../_images/23ce0c008b292950aeadd53b2a0174b9512f318feea41467e7db6d03465e5be6.png
 

 
 
The reference values on both posterior distributions indicate the mean of the distribution used for simulation.

@@ -787,14 +790,14 @@ 
System configuration
diff --git a/dev/notebooks/4-Parameter_recovery.html b/dev/notebooks/4-Parameter_recovery.html
index a65ec5e25..cadc47ca9 100644
--- a/dev/notebooks/4-Parameter_recovery.html
+++ b/dev/notebooks/4-Parameter_recovery.html
@@ -49,7 +49,7 @@
     
     
     
-    
+    
     
     
     
@@ -668,16 +668,16 @@ 
Inference from the simulated behaviours
NUTS: [censored_volatility, inverse_temperature]
 

 
-

+

 
 

-

+

 
 

-
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 106 seconds.
+
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 112 seconds.
 

 

-
There were 1999 divergences after tuning. Increase `target_accept` or reparameterize.
+
There were 2000 divergences after tuning. Increase `target_accept` or reparameterize.
 

 

 
We recommend running at least 4 chains for robust computation of convergence diagnostics
@@ -745,7 +745,7 @@ 
Visualizing parameters recovery
-../_images/24340639e974a698d67ab62119a3ff0be2c205e99dad70d318e4ee0245824ee9.png
+../_images/eb5a64e7c4bb5d9dbde4d05150d29129e9442aadd1c4504774df12e698b60e63.png
 

 

 

@@ -770,12 +770,12 @@ 
System configurationvar togglebuttonSelector = '.toggle, .admonition.dropdown';
     
     
-    
+    
     
     
     
@@ -559,16 +559,16 @@ 
Loading and preprocessing physiological recording
Downloading ECG channel:   0%|          | 0/2 [00:00<?, ?it/s]
 

 
-
Downloading ECG channel:  50%|█████     | 1/2 [00:01<00:01,  1.04s/it]
+
Downloading ECG channel:  50%|█████     | 1/2 [00:00<00:00,  3.09it/s]
 

 

-
Downloading Respiration channel:  50%|█████     | 1/2 [00:01<00:01,  1.04s/it]
+
Downloading Respiration channel:  50%|█████     | 1/2 [00:00<00:00,  3.09it/s]
 

 

-
Downloading Respiration channel: 100%|██████████| 2/2 [00:02<00:00,  1.21s/it]
+
Downloading Respiration channel: 100%|██████████| 2/2 [00:00<00:00,  2.47it/s]
 

 

-
Downloading Respiration channel: 100%|██████████| 2/2 [00:02<00:00,  1.19s/it]
+
Downloading Respiration channel: 100%|██████████| 2/2 [00:00<00:00,  2.55it/s]
 

 

 

@@ -642,7 +642,7 @@ 
Model#<
 

 

 

-../_images/8fc9c210ab62f5dd9a3be3ce533d3c8c7ee05351b66a0f94da4f8a26be10ae39.svg

+../_images/8f02834ccc45a1fbb4bd4aabfac2d75a89a86b3ef90438ded772ac7bf43de688.svg

 

 

 

@@ -668,7 +668,7 @@ 
Model#<
   self.pid = os.fork()
 

 

-
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
+
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
   self.pid = os.fork()
 

 

@@ -691,7 +691,7 @@ 
Model#<
 

 

 

-../_images/63232e4bba9997d37c6bb77253b9976e6cd7fc0bbd8eb56e242c8e7943d5e60d.png
+../_images/e58dfeeaa32d408d4dd3e9e5cae8b675fb1f0a87038de766c7a09f0be344b42f.png
 

 

 

@@ -723,7 +723,7 @@ 
Model#<
 

 

 

-../_images/62a2318a6a862a397e546b65bba8584576bd3cd17d8c6b934d326bdee85c2225.png
+../_images/ad616a16fc466156f95d1bbc973a973925f05f524521b5bcbf6cc659a2f20bb1.png
 

 

 
@@ -748,12 +748,12 @@ 
System configuration

diff --git a/dev/notebooks/Example_2_Input_node_volatility_coupling.html b/dev/notebooks/Example_2_Input_node_volatility_coupling.html
index 347e214d0..ccd767471 100644
--- a/dev/notebooks/Example_2_Input_node_volatility_coupling.html
+++ b/dev/notebooks/Example_2_Input_node_volatility_coupling.html
@@ -695,12 +695,12 @@ 
System configuration
diff --git a/dev/notebooks/Example_3_Multi_armed_bandit.html b/dev/notebooks/Example_3_Multi_armed_bandit.html
index 0db4b2dbe..25185f54f 100644
--- a/dev/notebooks/Example_3_Multi_armed_bandit.html
+++ b/dev/notebooks/Example_3_Multi_armed_bandit.html
@@ -51,7 +51,7 @@
     
     
     
-    
+    
     
     
     
@@ -1085,15 +1085,18 @@ 
Bayesian inference
NUTS: [omega]
 

 
-

+

 
 

-

+

 
 

 
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 9 seconds.
 

 

+
There were 1 divergences after tuning. Increase `target_accept` or reparameterize.
+

+

 
We recommend running at least 4 chains for robust computation of convergence diagnostics
 

 

@@ -1109,7 +1112,7 @@ 
Bayesian inference
-../_images/92535a682b2c3bff9bec88cf5342c4e749e845278108e496082e3566445ab5b9.png
+../_images/bc1e3644c7ff74c9985f58a89954b60bd66eef77421d5e6b4aa24f9c0bbd721d.png
 

 
 
@@ -1134,13 +1137,13 @@ 
System configurationvar togglebuttonSelector = '.toggle, .admonition.dropdown';
     
     
-    
+    
     
     
     
@@ -763,7 +763,7 @@ 
Parameters optimization
 
-
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
+
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
   self.pid = os.fork()
 

 

@@ -773,7 +773,7 @@ 
Parameters optimization
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 11 seconds.
 

 

-
There were 2 divergences after tuning. Increase `target_accept` or reparameterize.
+
There were 1 divergences after tuning. Increase `target_accept` or reparameterize.
 

 

 

@@ -785,7 +785,7 @@ 
Parameters optimization
 

 

-../_images/94a30b6fbe759264cd8af37bcfde27954232471a3aa7bb7cac60337bbc232af4.png
+../_images/b0424965b81f4a963cb871563cbdc5a19a1e94b47577b815274004dcda1e44fe.png
 

 

 

@@ -827,13 +827,13 @@ 
Parameters optimization
     
       tonic_volatility_1
-      -5.953
-      0.937
-      -7.726
-      -4.191
-      0.035
-      0.025
-      772.0
+      -5.949
+      0.924
+      -7.597
+      -4.215
+      0.031
+      0.022
+      1011.0
       787.0
       1.0
     
@@ -1175,7 +1175,7 @@ 
Biased random{"version_major": 2, "version_minor": 0, "model_id": "727cf022aa674a6fb50d0e21d6a3525f"}
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
+
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
   self.pid = os.fork()
 

 

@@ -1194,7 +1194,7 @@ 
Biased random
-../_images/14d7ddc5e042d4e10bfa2100aca8f8ca556db58d54c259fab7368f4b3c3c52af.png
+../_images/0040b9860a31a68fbff0a82fb5cf89bf63e82ef1059b555307e006fba4f478e5.png
 

 

 
Assess model fitting, here using leave-one-out cross-validation from the Arviz library.

@@ -1209,15 +1209,17 @@ 
Biased random
Computed from 4000 posterior samples and 1.0 observations log-likelihood matrix.
 
          Estimate       SE
-elpd_loo  -222.25     0.00
-p_loo        0.51        -
+elpd_loo  -222.53     0.00
+p_loo        0.79        -
+
+There has been a warning during the calculation. Please check the results.
 ------
 
 Pareto k diagnostic values:
                          Count   Pct.
-(-Inf, 0.5]   (good)        1  100.0%
+(-Inf, 0.5]   (good)        0    0.0%
  (0.5, 0.7]   (ok)          0    0.0%
-   (0.7, 1]   (bad)         0    0.0%
+   (0.7, 1]   (bad)         1  100.0%
    (1, Inf)   (very bad)    0    0.0%
 

 

@@ -1317,14 +1319,14 @@ 
Rescorla-Wagner{"version_major": 2, "version_minor": 0, "model_id": "0c2efa3f228c4962a5e7a4dbbbeba713"}
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
+
/opt/hostedtoolcache/Python/3.12.4/x64/lib/python3.12/multiprocessing/popen_fork.py:66: RuntimeWarning: os.fork() was called. os.fork() is incompatible with multithreaded code, and JAX is multithreaded, so this will likely lead to a deadlock.
   self.pid = os.fork()
 

 

 

 
 

-
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 57 seconds.
+
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 56 seconds.
 

 

 

@@ -1336,7 +1338,7 @@ 
Rescorla-Wagner
-../_images/1f5b5c542b12ddf9c3e0048237225a403771aae5bd08a6b3789b7482ac8c2162.png
+../_images/e837eddd01d12ffb3e8729bd79b51823e98c96acfe75d415710e9272b98f1664.png
 

 

 

@@ -1350,17 +1352,15 @@ 
Rescorla-Wagner
Computed from 4000 posterior samples and 1.0 observations log-likelihood matrix.
 
          Estimate       SE
-elpd_loo  -104.07     0.00
-p_loo        0.82        -
-
-There has been a warning during the calculation. Please check the results.
+elpd_loo  -103.90     0.00
+p_loo        0.64        -
 ------
 
 Pareto k diagnostic values:
                          Count   Pct.
 (-Inf, 0.5]   (good)        0    0.0%
- (0.5, 0.7]   (ok)          0    0.0%
-   (0.7, 1]   (bad)         1  100.0%
+ (0.5, 0.7]   (ok)          1  100.0%
+   (0.7, 1]   (bad)         0    0.0%
    (1, Inf)   (very bad)    0    0.0%
 

 

@@ -1407,7 +1407,7 @@ 
Rescorla-Wagner
-../_images/bc1be7a76be91486b2e0eb501afc56bc867cca50181e062a157b486483db559c.png
+../_images/4a29fa1c347597ac1b751ae5fb338df7bead0f2a2508cf3ecc1ccf11b09dd930.png
 

 
 
@@ -1471,16 +1471,16 @@ 
Two-level HGF
NUTS: [tonic_volatility_2]
 

 
-

+

 
 

-

+

 
 

-

+

 
 

-

+

 
 

 
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 9 seconds.
@@ -1495,7 +1495,7 @@ 
Two-level HGF
-../_images/f51b17f1b7e4692205eff9383fb5a938001badc7c6fc7ebb0984e821be59d167.png
+../_images/c7a2c5bdca0d8b9bbcac6490379b7c896a8eea143dbbf9ff48e4e3798873e119.png
 

 

 

@@ -1509,8 +1509,8 @@ 
Two-level HGF
Computed from 4000 posterior samples and 1.0 observations log-likelihood matrix.
 
          Estimate       SE
-elpd_loo  -114.48     0.00
-p_loo        1.16        -
+elpd_loo  -114.33     0.00
+p_loo        1.01        -
 
 There has been a warning during the calculation. Please check the results.
 ------
@@ -1519,8 +1519,8 @@ 
Two-level HGF
NUTS: [tonic_volatility_2]
 

 

-

+

 
 

-

+

 
 

-

+

 
 

-

+

 
 

-
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 11 seconds.
+
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 12 seconds.
 

 

-
There were 8 divergences after tuning. Increase `target_accept` or reparameterize.
+
There were 11 divergences after tuning. Increase `target_accept` or reparameterize.
 

 

 

@@ -1617,7 +1617,7 @@ 
Three-level HGF
-../_images/45ac0c98425f4ee6a5163e579d0971b625978c683efb6300422fe90442f902e0.png
+../_images/eb9f06b849ee52c8649a06bcbb30c913fd421b205514c9ae382cb408fc05e0d4.png
 

 

 

@@ -1631,8 +1631,8 @@ 
Three-level HGF
Computed from 4000 posterior samples and 1.0 observations log-likelihood matrix.
 
          Estimate       SE
-elpd_loo  -113.78     0.00
-p_loo        0.82        -
+elpd_loo  -114.21     0.00
+p_loo        1.25        -
 
 There has been a warning during the calculation. Please check the results.
 ------
@@ -1641,8 +1641,8 @@ 
Three-level HGF
-../_images/90c26f4c57b0643006250eb98c437c5d62298dd907ed806cc06305a6969b6722.png
+../_images/6954098013b96190eba0919371ab55b3f0b88381827853bf2ef461465222bb43.png
 

 

 
@@ -1848,11 +1848,11 @@ 
System configuration