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+ + + + +mu_volatility + +mu_volatility +~ +Normal + + + +mu_volatility->volatility + + + + + +sigma_temperature + +sigma_temperature +~ +HalfNormal + + + +inverse_temperature + +inverse_temperature +~ +LogNormal + + + +sigma_temperature->inverse_temperature + + + + + +hgf_loglike + +hgf_loglike +~ +Potential + + + +mu_temperature + +mu_temperature +~ +Normal + + + +mu_temperature->inverse_temperature + + + + + +volatility->hgf_loglike + + + + + +inverse_temperature->hgf_loglike + + + + + \ No newline at end of file diff --git a/dev/_images/4cf9072c471d766836a0532da0b468fb9d9cfd18ad76f5563fa322b14be65852.png b/dev/_images/4cf9072c471d766836a0532da0b468fb9d9cfd18ad76f5563fa322b14be65852.png new file mode 100644 index 000000000..b5c822faf Binary files /dev/null and b/dev/_images/4cf9072c471d766836a0532da0b468fb9d9cfd18ad76f5563fa322b14be65852.png differ diff --git a/dev/_images/4fe87e8aa106dd523b6fd7380d4489e610397f907a9df51e349d0bfcdea2422e.png 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68eff87ef..c2c08a935 100644 --- a/dev/generated/pyhgf.distribution/pyhgf.distribution.hgf_logp.html +++ b/dev/generated/pyhgf.distribution/pyhgf.distribution.hgf_logp.html @@ -8,7 +8,7 @@ - pyhgf.distribution.hgf_logp — pyhgf 0.0.19 documentation + pyhgf.distribution.hgf_logp — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.math/pyhgf.math.MultivariateNormal.html b/dev/generated/pyhgf.math/pyhgf.math.MultivariateNormal.html index 788f58db8..f1cb11f3b 100644 --- a/dev/generated/pyhgf.math/pyhgf.math.MultivariateNormal.html +++ b/dev/generated/pyhgf.math/pyhgf.math.MultivariateNormal.html @@ -8,7 +8,7 @@ - pyhgf.math.MultivariateNormal — pyhgf 0.0.19 documentation + pyhgf.math.MultivariateNormal — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.math/pyhgf.math.Normal.html b/dev/generated/pyhgf.math/pyhgf.math.Normal.html index 79989f0c0..6a98b932f 100644 --- a/dev/generated/pyhgf.math/pyhgf.math.Normal.html +++ 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pyhgf.math.gaussian_density — pyhgf 0.0.19 documentation + pyhgf.math.gaussian_density — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.math/pyhgf.math.gaussian_predictive_distribution.html b/dev/generated/pyhgf.math/pyhgf.math.gaussian_predictive_distribution.html index efb9fcde2..981d6212b 100644 --- a/dev/generated/pyhgf.math/pyhgf.math.gaussian_predictive_distribution.html +++ b/dev/generated/pyhgf.math/pyhgf.math.gaussian_predictive_distribution.html @@ -8,7 +8,7 @@ - pyhgf.math.gaussian_predictive_distribution — pyhgf 0.0.19 documentation + pyhgf.math.gaussian_predictive_distribution — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.math/pyhgf.math.gaussian_surprise.html b/dev/generated/pyhgf.math/pyhgf.math.gaussian_surprise.html index 4eec96823..84db54592 100644 --- a/dev/generated/pyhgf.math/pyhgf.math.gaussian_surprise.html +++ b/dev/generated/pyhgf.math/pyhgf.math.gaussian_surprise.html @@ -8,7 +8,7 @@ - pyhgf.math.gaussian_surprise — pyhgf 0.0.19 documentation + pyhgf.math.gaussian_surprise — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.math/pyhgf.math.sigmoid.html b/dev/generated/pyhgf.math/pyhgf.math.sigmoid.html index b2f1a1e0b..4d5ff68cb 100644 --- a/dev/generated/pyhgf.math/pyhgf.math.sigmoid.html +++ b/dev/generated/pyhgf.math/pyhgf.math.sigmoid.html @@ -8,7 +8,7 @@ - pyhgf.math.sigmoid — pyhgf 0.0.19 documentation + pyhgf.math.sigmoid — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.model/pyhgf.model.HGF.html b/dev/generated/pyhgf.model/pyhgf.model.HGF.html index d5337d5ed..4ab4ba7d8 100644 --- a/dev/generated/pyhgf.model/pyhgf.model.HGF.html +++ b/dev/generated/pyhgf.model/pyhgf.model.HGF.html @@ -8,7 +8,7 @@ - pyhgf.model.HGF — pyhgf 0.0.19 documentation + pyhgf.model.HGF — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.plots/pyhgf.plots.plot_correlations.html b/dev/generated/pyhgf.plots/pyhgf.plots.plot_correlations.html index 6f679b1bc..9750f141f 100644 --- a/dev/generated/pyhgf.plots/pyhgf.plots.plot_correlations.html +++ b/dev/generated/pyhgf.plots/pyhgf.plots.plot_correlations.html @@ -8,7 +8,7 @@ - pyhgf.plots.plot_correlations — pyhgf 0.0.19 documentation + pyhgf.plots.plot_correlations — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.plots/pyhgf.plots.plot_network.html b/dev/generated/pyhgf.plots/pyhgf.plots.plot_network.html index 4df933aed..e3dee0118 100644 --- a/dev/generated/pyhgf.plots/pyhgf.plots.plot_network.html +++ b/dev/generated/pyhgf.plots/pyhgf.plots.plot_network.html @@ -8,7 +8,7 @@ - pyhgf.plots.plot_network — pyhgf 0.0.19 documentation + pyhgf.plots.plot_network — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.plots/pyhgf.plots.plot_nodes.html b/dev/generated/pyhgf.plots/pyhgf.plots.plot_nodes.html index 99a9fe1ee..9cc3958f3 100644 --- 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71de524fd..a99e5dbda 100644 --- a/dev/generated/pyhgf.response/pyhgf.response.first_level_binary_surprise.html +++ b/dev/generated/pyhgf.response/pyhgf.response.first_level_binary_surprise.html @@ -8,7 +8,7 @@ - pyhgf.response.first_level_binary_surprise — pyhgf 0.0.19 documentation + pyhgf.response.first_level_binary_surprise — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.response/pyhgf.response.first_level_gaussian_surprise.html b/dev/generated/pyhgf.response/pyhgf.response.first_level_gaussian_surprise.html index e83283a16..c1e16ffdc 100644 --- a/dev/generated/pyhgf.response/pyhgf.response.first_level_gaussian_surprise.html +++ b/dev/generated/pyhgf.response/pyhgf.response.first_level_gaussian_surprise.html @@ -8,7 +8,7 @@ - pyhgf.response.first_level_gaussian_surprise — pyhgf 0.0.19 documentation + pyhgf.response.first_level_gaussian_surprise — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.response/pyhgf.response.total_gaussian_surprise.html b/dev/generated/pyhgf.response/pyhgf.response.total_gaussian_surprise.html index d3104df94..5d0d289c6 100644 --- a/dev/generated/pyhgf.response/pyhgf.response.total_gaussian_surprise.html +++ b/dev/generated/pyhgf.response/pyhgf.response.total_gaussian_surprise.html @@ -8,7 +8,7 @@ - pyhgf.response.total_gaussian_surprise — pyhgf 0.0.19 documentation + pyhgf.response.total_gaussian_surprise — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.posterior.binary/pyhgf.updates.posterior.binary.binary_node_update_finite.html b/dev/generated/pyhgf.updates.posterior.binary/pyhgf.updates.posterior.binary.binary_node_update_finite.html index ea651f7b1..762f25261 100644 --- a/dev/generated/pyhgf.updates.posterior.binary/pyhgf.updates.posterior.binary.binary_node_update_finite.html +++ b/dev/generated/pyhgf.updates.posterior.binary/pyhgf.updates.posterior.binary.binary_node_update_finite.html @@ -8,7 +8,7 @@ - pyhgf.updates.posterior.binary.binary_node_update_finite — pyhgf 0.0.19 documentation + pyhgf.updates.posterior.binary.binary_node_update_finite — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.posterior.binary/pyhgf.updates.posterior.binary.binary_node_update_infinite.html b/dev/generated/pyhgf.updates.posterior.binary/pyhgf.updates.posterior.binary.binary_node_update_infinite.html index 6bad4f4e1..603a30fad 100644 --- a/dev/generated/pyhgf.updates.posterior.binary/pyhgf.updates.posterior.binary.binary_node_update_infinite.html +++ b/dev/generated/pyhgf.updates.posterior.binary/pyhgf.updates.posterior.binary.binary_node_update_infinite.html @@ -8,7 +8,7 @@ - pyhgf.updates.posterior.binary.binary_node_update_infinite — pyhgf 0.0.19 documentation + pyhgf.updates.posterior.binary.binary_node_update_infinite — pyhgf 0.1.0 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a/dev/generated/pyhgf.updates.posterior.continuous/pyhgf.updates.posterior.continuous.continuous_node_update_ehgf.html +++ b/dev/generated/pyhgf.updates.posterior.continuous/pyhgf.updates.posterior.continuous.continuous_node_update_ehgf.html @@ -8,7 +8,7 @@ - pyhgf.updates.posterior.continuous.continuous_node_update_ehgf — pyhgf 0.0.19 documentation + pyhgf.updates.posterior.continuous.continuous_node_update_ehgf — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.posterior.continuous/pyhgf.updates.posterior.continuous.posterior_update_mean_continuous_node.html b/dev/generated/pyhgf.updates.posterior.continuous/pyhgf.updates.posterior.continuous.posterior_update_mean_continuous_node.html index ccad97181..9ff1e8cc1 100644 --- a/dev/generated/pyhgf.updates.posterior.continuous/pyhgf.updates.posterior.continuous.posterior_update_mean_continuous_node.html +++ 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pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction.binary/pyhgf.updates.prediction.binary.binary_state_node_prediction.html b/dev/generated/pyhgf.updates.prediction.binary/pyhgf.updates.prediction.binary.binary_state_node_prediction.html index 0d9477142..8a404bfb9 100644 --- a/dev/generated/pyhgf.updates.prediction.binary/pyhgf.updates.prediction.binary.binary_state_node_prediction.html +++ b/dev/generated/pyhgf.updates.prediction.binary/pyhgf.updates.prediction.binary.binary_state_node_prediction.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction.binary.binary_state_node_prediction — pyhgf 0.0.19 documentation + pyhgf.updates.prediction.binary.binary_state_node_prediction — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction.continuous/pyhgf.updates.prediction.continuous.continuous_node_prediction.html 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b/dev/generated/pyhgf.updates.prediction.continuous/pyhgf.updates.prediction.continuous.predict_mean.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction.continuous.predict_mean — pyhgf 0.0.19 documentation + pyhgf.updates.prediction.continuous.predict_mean — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction.continuous/pyhgf.updates.prediction.continuous.predict_precision.html b/dev/generated/pyhgf.updates.prediction.continuous/pyhgf.updates.prediction.continuous.predict_precision.html index 45846615b..d6264c449 100644 --- a/dev/generated/pyhgf.updates.prediction.continuous/pyhgf.updates.prediction.continuous.predict_precision.html +++ b/dev/generated/pyhgf.updates.prediction.continuous/pyhgf.updates.prediction.continuous.predict_precision.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction.continuous.predict_precision — pyhgf 0.0.19 documentation + pyhgf.updates.prediction.continuous.predict_precision — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.inputs.binary/pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_finite_precision.html b/dev/generated/pyhgf.updates.prediction_error.inputs.binary/pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_finite_precision.html index c767861c9..2ef0b07e7 100644 --- a/dev/generated/pyhgf.updates.prediction_error.inputs.binary/pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_finite_precision.html +++ b/dev/generated/pyhgf.updates.prediction_error.inputs.binary/pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_finite_precision.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_finite_precision — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_finite_precision — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.inputs.binary/pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_infinite_precision.html b/dev/generated/pyhgf.updates.prediction_error.inputs.binary/pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_infinite_precision.html index 1477b3c93..e900e085c 100644 --- a/dev/generated/pyhgf.updates.prediction_error.inputs.binary/pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_infinite_precision.html +++ b/dev/generated/pyhgf.updates.prediction_error.inputs.binary/pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_infinite_precision.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_infinite_precision — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.inputs.binary.binary_input_prediction_error_infinite_precision — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_prediction_error.html b/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_prediction_error.html index f1e4eac01..0c2066ad0 100644 --- a/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_prediction_error.html +++ b/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_prediction_error.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.inputs.continuous.continuous_input_prediction_error — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.inputs.continuous.continuous_input_prediction_error — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_value_prediction_error.html b/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_value_prediction_error.html index 6fb054888..79e4adafb 100644 --- a/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_value_prediction_error.html +++ b/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_value_prediction_error.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.inputs.continuous.continuous_input_value_prediction_error — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.inputs.continuous.continuous_input_value_prediction_error — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_volatility_prediction_error.html b/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_volatility_prediction_error.html index 5f33f9d09..5c62e501c 100644 --- a/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_volatility_prediction_error.html +++ b/dev/generated/pyhgf.updates.prediction_error.inputs.continuous/pyhgf.updates.prediction_error.inputs.continuous.continuous_input_volatility_prediction_error.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.inputs.continuous.continuous_input_volatility_prediction_error — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.inputs.continuous.continuous_input_volatility_prediction_error — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.inputs.generic/pyhgf.updates.prediction_error.inputs.generic.generic_input_prediction_error.html b/dev/generated/pyhgf.updates.prediction_error.inputs.generic/pyhgf.updates.prediction_error.inputs.generic.generic_input_prediction_error.html index e23048f74..31be671f9 100644 --- a/dev/generated/pyhgf.updates.prediction_error.inputs.generic/pyhgf.updates.prediction_error.inputs.generic.generic_input_prediction_error.html +++ b/dev/generated/pyhgf.updates.prediction_error.inputs.generic/pyhgf.updates.prediction_error.inputs.generic.generic_input_prediction_error.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.inputs.generic.generic_input_prediction_error — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.inputs.generic.generic_input_prediction_error — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.nodes.binary/pyhgf.updates.prediction_error.nodes.binary.binary_state_node_prediction_error.html b/dev/generated/pyhgf.updates.prediction_error.nodes.binary/pyhgf.updates.prediction_error.nodes.binary.binary_state_node_prediction_error.html index de1cb0866..7536b4a13 100644 --- a/dev/generated/pyhgf.updates.prediction_error.nodes.binary/pyhgf.updates.prediction_error.nodes.binary.binary_state_node_prediction_error.html +++ b/dev/generated/pyhgf.updates.prediction_error.nodes.binary/pyhgf.updates.prediction_error.nodes.binary.binary_state_node_prediction_error.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.nodes.binary.binary_state_node_prediction_error — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.nodes.binary.binary_state_node_prediction_error — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_prediction_error.html b/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_prediction_error.html index 57485d094..48fa9ddbf 100644 --- a/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_prediction_error.html +++ b/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_prediction_error.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.nodes.continuous.continuous_node_prediction_error — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.nodes.continuous.continuous_node_prediction_error — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_value_prediction_error.html b/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_value_prediction_error.html index 77f10b903..21e392b6e 100644 --- a/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_value_prediction_error.html +++ b/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_value_prediction_error.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.nodes.continuous.continuous_node_value_prediction_error — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.nodes.continuous.continuous_node_value_prediction_error — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_volatility_prediction_error.html b/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_volatility_prediction_error.html index 6295d30e7..2de53cd8d 100644 --- a/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_volatility_prediction_error.html +++ b/dev/generated/pyhgf.updates.prediction_error.nodes.continuous/pyhgf.updates.prediction_error.nodes.continuous.continuous_node_volatility_prediction_error.html @@ -8,7 +8,7 @@ - pyhgf.updates.prediction_error.nodes.continuous.continuous_node_volatility_prediction_error — pyhgf 0.0.19 documentation + pyhgf.updates.prediction_error.nodes.continuous.continuous_node_volatility_prediction_error — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.utils/pyhgf.utils.beliefs_propagation.html b/dev/generated/pyhgf.utils/pyhgf.utils.beliefs_propagation.html index fe6f211b3..e2f940e1e 100644 --- a/dev/generated/pyhgf.utils/pyhgf.utils.beliefs_propagation.html +++ b/dev/generated/pyhgf.utils/pyhgf.utils.beliefs_propagation.html @@ -8,7 +8,7 @@ - pyhgf.utils.beliefs_propagation — pyhgf 0.0.19 documentation + pyhgf.utils.beliefs_propagation — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.utils/pyhgf.utils.fill_categorical_state_node.html b/dev/generated/pyhgf.utils/pyhgf.utils.fill_categorical_state_node.html index 1d1db931d..166befbd0 100644 --- a/dev/generated/pyhgf.utils/pyhgf.utils.fill_categorical_state_node.html +++ b/dev/generated/pyhgf.utils/pyhgf.utils.fill_categorical_state_node.html @@ -8,7 +8,7 @@ - pyhgf.utils.fill_categorical_state_node — pyhgf 0.0.19 documentation + pyhgf.utils.fill_categorical_state_node — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.utils/pyhgf.utils.get_update_sequence.html b/dev/generated/pyhgf.utils/pyhgf.utils.get_update_sequence.html index 04ae9390b..7b4823b60 100644 --- a/dev/generated/pyhgf.utils/pyhgf.utils.get_update_sequence.html +++ b/dev/generated/pyhgf.utils/pyhgf.utils.get_update_sequence.html @@ -8,7 +8,7 @@ - pyhgf.utils.get_update_sequence — pyhgf 0.0.19 documentation + pyhgf.utils.get_update_sequence — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.utils/pyhgf.utils.list_branches.html b/dev/generated/pyhgf.utils/pyhgf.utils.list_branches.html index c7c283481..e543f1c08 100644 --- a/dev/generated/pyhgf.utils/pyhgf.utils.list_branches.html +++ b/dev/generated/pyhgf.utils/pyhgf.utils.list_branches.html @@ -8,7 +8,7 @@ - pyhgf.utils.list_branches — pyhgf 0.0.19 documentation + pyhgf.utils.list_branches — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/generated/pyhgf.utils/pyhgf.utils.trim_sequence.html b/dev/generated/pyhgf.utils/pyhgf.utils.trim_sequence.html index 6f4084176..b81540f33 100644 --- a/dev/generated/pyhgf.utils/pyhgf.utils.trim_sequence.html +++ b/dev/generated/pyhgf.utils/pyhgf.utils.trim_sequence.html @@ -8,7 +8,7 @@ - pyhgf.utils.trim_sequence — pyhgf 0.0.19 documentation + pyhgf.utils.trim_sequence — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/genindex.html b/dev/genindex.html index 5b17e5c55..a1bf05812 100644 --- a/dev/genindex.html +++ b/dev/genindex.html @@ -7,7 +7,7 @@ - Index — pyhgf 0.0.19 documentation + Index — pyhgf 0.1.0 documentation @@ -38,7 +38,7 @@ - + diff --git a/dev/index.html b/dev/index.html index 89cd3f384..cc3e2d905 100644 --- a/dev/index.html +++ b/dev/index.html @@ -8,7 +8,7 @@ - PyHGF: A Neural Network Library for Predictive Coding — pyhgf 0.0.19 documentation + PyHGF: A Neural Network Library for Predictive Coding — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/learn.html b/dev/learn.html index 40ef6acfd..9d11fa54d 100644 --- a/dev/learn.html +++ b/dev/learn.html @@ -8,7 +8,7 @@ - Learn — pyhgf 0.0.19 documentation + Learn — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + diff --git a/dev/notebooks/0.1-Theory.html b/dev/notebooks/0.1-Theory.html index 13b881ab7..cabe40cc9 100644 --- a/dev/notebooks/0.1-Theory.html +++ b/dev/notebooks/0.1-Theory.html @@ -8,7 +8,7 @@ - Introduction to the Generalised Hierarchical Gaussian Filter — pyhgf 0.0.19 documentation + Introduction to the Generalised Hierarchical Gaussian Filter — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + @@ -913,14 +913,14 @@

System configuration diff --git a/dev/notebooks/0.2-Creating_networks.html b/dev/notebooks/0.2-Creating_networks.html index f7b217b25..23c6798ce 100644 --- a/dev/notebooks/0.2-Creating_networks.html +++ b/dev/notebooks/0.2-Creating_networks.html @@ -8,7 +8,7 @@ - Creating and manipulating networks of probabilistic nodes — pyhgf 0.0.19 documentation + Creating and manipulating networks of probabilistic nodes — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + @@ -740,7 +740,7 @@
Continuous value coupling -../_images/d971c240dca70c5117e2c380d0ca0fe4973918f8f620de3019f54fe340d51fa5.png +../_images/6a5d62bfb9a6ecd6ec9a015dec5a9209a59006972240d59389b1fabcdf1238ba.png
@@ -1076,14 +1076,14 @@

System configuration

diff --git a/dev/notebooks/0.3-Generalised_filtering.html b/dev/notebooks/0.3-Generalised_filtering.html index 1003ee2b5..c0e2ffb18 100644 --- a/dev/notebooks/0.3-Generalised_filtering.html +++ b/dev/notebooks/0.3-Generalised_filtering.html @@ -8,7 +8,7 @@ - From Reinforcement Learning to Generalised Bayesian Filtering — pyhgf 0.0.19 documentation + From Reinforcement Learning to Generalised Bayesian Filtering — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + @@ -966,14 +966,14 @@

System configuration diff --git a/dev/notebooks/1.1-Binary_HGF.html b/dev/notebooks/1.1-Binary_HGF.html index 6b4c2ab61..726554af4 100644 --- a/dev/notebooks/1.1-Binary_HGF.html +++ b/dev/notebooks/1.1-Binary_HGF.html @@ -8,7 +8,7 @@ - The binary Hierarchical Gaussian Filter — pyhgf 0.0.19 documentation + The binary Hierarchical Gaussian Filter — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + @@ -51,7 +51,7 @@ - + @@ -796,7 +796,7 @@

Sampling self.pid = os.fork() -
/opt/hostedtoolcache/Python/3.12.3/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/3.12.3/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()
 

 

@@ -819,7 +819,7 @@ 
Sampling
-../_images/d5eb70480cdfd7d28fa75b2e925de445c322b5d7af73b49109673eb0823faeb1.png +../_images/9b345d97edec752cc163ae0f643a9999f9ac17e55579337c37bc3b71240369da.png
@@ -857,7 +857,7 @@

Using the learned parameters -../_images/bb054201067894a3aab4c2e1ca4236bc039eaa9913204b1501b47a17a5d42025.png +../_images/66ef95b713edc96e82616d0107bf35f07ae4c18be507510267498e560219ad50.png
@@ -867,7 +867,7 @@

Using the learned parameters -
Array(202.52966, dtype=float32)
+
Array(202.5296, dtype=float32)
@@ -919,7 +919,7 @@

Visualizing the model -../_images/c220766790f0ac4c23d169d2a6b8286c1b66ca2bf50f19e9b1c2b87730c5efa1.svg

+../_images/e23b939a310486df3afa5ada7aac1a37266da7c16855b27f94e2ecf820ea7441.svg

@@ -948,7 +948,7 @@

Sampling# self.pid = os.fork() -
/opt/hostedtoolcache/Python/3.12.3/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/3.12.3/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()
 

 

@@ -971,7 +971,7 @@ 
Sampling#
-../_images/741e0c2d498b154a11af2fbd6f837bfd6c54d171618217b573136ac4376a17b5.png +../_images/8b81e46950b81bad1eee8ce40c44ad210ad789f128410592d04ef6b927c29865.png

@@ -1010,7 +1010,7 @@

Using the learned parameters -../_images/f587c846bfcc0147ca73616be77ed783175776367d9322c08be31d0036f40aef.png +../_images/ba019df29e8fecc0aa690df798b57216a13476ec09c9ff628156d16914a0f14c.png
@@ -1020,7 +1020,7 @@

Using the learned parameters -
Array(203.00362, dtype=float32)
+
Array(203.01566, dtype=float32)
@@ -1044,16 +1044,16 @@

System configuration

diff --git a/dev/notebooks/1.2-Categorical_HGF.html b/dev/notebooks/1.2-Categorical_HGF.html index 47d2a4da8..bfd8df80b 100644 --- a/dev/notebooks/1.2-Categorical_HGF.html +++ b/dev/notebooks/1.2-Categorical_HGF.html @@ -8,7 +8,7 @@ - The categorical Hierarchical Gaussian Filter — pyhgf 0.0.19 documentation + The categorical Hierarchical Gaussian Filter — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + @@ -579,7 +579,7 @@

Simulating a dataset

-../_images/21e2c69e7fbfc0a48ad8407e1838a7c4cb694ece63bdc0f62213856cabd61555.png +../_images/3bd430c3105f27b58ef0a59eb9ab8e0c80450ae933541f2831eebf910ef38d9e.png
@@ -693,7 +693,7 @@

Fitting the model forwards -../_images/7e638d559a6e8650da3573a0d7d6e3a9386093ffaca4072146518f94ba160608.png +../_images/4cf9072c471d766836a0532da0b468fb9d9cfd18ad76f5563fa322b14be65852.png

@@ -847,18 +847,18 @@

System configuration diff --git a/dev/notebooks/1.3-Continuous_HGF.html b/dev/notebooks/1.3-Continuous_HGF.html index 7a1310b09..3b90da5e5 100644 --- a/dev/notebooks/1.3-Continuous_HGF.html +++ b/dev/notebooks/1.3-Continuous_HGF.html @@ -8,7 +8,7 @@ - The continuous Hierarchical Gaussian Filter — pyhgf 0.0.19 documentation + The continuous Hierarchical Gaussian Filter — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + @@ -51,7 +51,7 @@ - + @@ -850,7 +850,7 @@

Sampling self.pid = os.fork() -
/opt/hostedtoolcache/Python/3.12.3/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/3.12.3/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/37f9b2961091366f8b2bf04abb5a99552fdc67991f571fd63632631275186a90.png +../_images/8e84707998f0e06055251e76b9b5a319eb45e35ecfa1ac989d1b91521e022757.png
@@ -908,7 +908,7 @@

Using the learned parameters -../_images/7b1023e183747b3ce4791629ca02414720a63214be64f60110799f6e4b09719e.png +../_images/fcfcf6e859d35b2b43f2497468a6edfe195085b1a0a14ecc02f05d672c842d17.png
@@ -918,7 +918,7 @@

Using the learned parameters -
Array(-1106.092, dtype=float32)
+
Array(-1106.1298, dtype=float32)
@@ -997,7 +997,7 @@

Sampling# self.pid = os.fork()

-
/opt/hostedtoolcache/Python/3.12.3/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/3.12.3/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()
 

 

@@ -1020,7 +1020,7 @@ 
Sampling#
-../_images/fe7cfd7ceeafc5af88dc3b7a37e57d46d85ac2216e04acf6a1c204ee1c938baa.png +../_images/404a863dbb559feecb735a6db887fa166ee7617bb018852d0bd7e96276cd6530.png
@@ -1054,7 +1054,7 @@

Using the learned parameters -../_images/0732a684a0f605a04244fd6b78f5d2e7f83a0fd9beeb34af42dd0a19fef48f54.png +../_images/0fb1664951bb1892d031e8c96ff8377ac65bb2c8a67a467ba311f5351b380a13.png
@@ -1064,7 +1064,7 @@

Using the learned parameters -
Array(-1118.0096, dtype=float32)
+
Array(-1118.0984, dtype=float32)
@@ -1088,16 +1088,16 @@

System configuration

diff --git a/dev/notebooks/2-Using_custom_response_functions.html b/dev/notebooks/2-Using_custom_response_functions.html index 7b2de6716..552e7ffa4 100644 --- a/dev/notebooks/2-Using_custom_response_functions.html +++ b/dev/notebooks/2-Using_custom_response_functions.html @@ -8,7 +8,7 @@ - Using custom response models — pyhgf 0.0.19 documentation + Using custom response models — pyhgf 0.1.0 documentation @@ -39,7 +39,7 @@ - + @@ -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
-      -3.958
-      0.499
-      -4.927
-      -3.088
+      -3.956
+      0.494
+      -4.938
+      -3.081
       0.013
       0.009
-      1486.0
-      2052.0
+      1459.0
+      2103.0
       1.0
     
   
 
-
../_images/b90565d1ff5de5ea9fd998a24814c8298701b4888d83e662737ca2c13a1eebb9.png
+
../_images/ec37dc83332bca3845427a3873d8a5ddfbeaa63bd274ff356997c5e6a790d37d.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.

@@ -996,16 +996,16 @@ 
System configuration
diff --git a/dev/notebooks/3-Multilevel_HGF.html b/dev/notebooks/3-Multilevel_HGF.html
index a8e40bde9..63b3e3e91 100644
--- a/dev/notebooks/3-Multilevel_HGF.html
+++ b/dev/notebooks/3-Multilevel_HGF.html
@@ -8,7 +8,7 @@
     
     
 
-    Embeding Hierarchical Gaussian Filters in a multilevel Bayesian model — pyhgf 0.0.19 documentation
+    Embeding Hierarchical Gaussian Filters in a multilevel Bayesian model — pyhgf 0.1.0 documentation
   
   
   
@@ -39,7 +39,7 @@
 
   
 
-    
+    
     
     
     
@@ -51,7 +51,7 @@
     
     
     
-    
+    
     
     
     
@@ -711,7 +711,7 @@ 
Plot the computational graph
-../_images/d732aeddb48eff6ebb397bb2842a18b6578374bd940b3ac5c9a305134a9e85ff.svg
+../_images/44729f772db8ce3abe4b9dc4c6a66c922c0385b36db35fbfb42de5bc312dce59.svg
 
 
 

@@ -736,16 +736,13 @@ 
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 65 seconds.
-

-

-
There were 2 divergences after tuning. Increase `target_accept` or reparameterize.
+
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 66 seconds.
 

 

 
We recommend running at least 4 chains for robust computation of convergence diagnostics
@@ -764,7 +761,7 @@ 
Visualization of the posterior distributions
-../_images/f13eea58bd698bffc2c00d1e96620176343c96ae2d3c850b3be8f466f3550990.png
+../_images/ef240db235115f4e936ab797cf353583b8441a0d388591d6e5a83c17ac7b7794.png
 

 

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

@@ -786,18 +783,18 @@ 
System configuration

diff --git a/dev/notebooks/4-Parameter_recovery.html b/dev/notebooks/4-Parameter_recovery.html
index d34f45db1..f9e2085ad 100644
--- a/dev/notebooks/4-Parameter_recovery.html
+++ b/dev/notebooks/4-Parameter_recovery.html
@@ -8,7 +8,7 @@
     
     
 
-    Recovering computational parameters from observed behaviours — pyhgf 0.0.19 documentation
+    Recovering computational parameters from observed behaviours — pyhgf 0.1.0 documentation
   
   
   
@@ -39,7 +39,7 @@
 
   
 
-    
+    
     
     
     
@@ -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 232 seconds.
+
Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 101 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/57dc4e53012a3061f0ee0c41d0bc709089517b97ec12c7bd7859a4cc5a330a07.png
+../_images/4fe87e8aa106dd523b6fd7380d4489e610397f907a9df51e349d0bfcdea2422e.png
 

 

 

@@ -766,17 +766,17 @@ 
System configuration
diff --git a/dev/notebooks/Example_1_Heart_rate_variability.html b/dev/notebooks/Example_1_Heart_rate_variability.html
index 7ec7e3960..613a38635 100644
--- a/dev/notebooks/Example_1_Heart_rate_variability.html
+++ b/dev/notebooks/Example_1_Heart_rate_variability.html
@@ -8,7 +8,7 @@
     
     
 
-    Example 1: Bayesian filtering of cardiac volatility — pyhgf 0.0.19 documentation
+    Example 1: Bayesian filtering of cardiac volatility — pyhgf 0.1.0 documentation
   
   
   
@@ -39,7 +39,7 @@
 
   
 
-    
+    
     
     
     
@@ -49,7 +49,7 @@
     
     
     
-    
+    
     
     
     
@@ -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 [00:00<00:00,  1.44it/s]
+
Downloading ECG channel:  50%|█████     | 1/2 [00:00<00:00,  3.15it/s]
 

 

-
Downloading Respiration channel:  50%|█████     | 1/2 [00:00<00:00,  1.44it/s]
+
Downloading Respiration channel:  50%|█████     | 1/2 [00:00<00:00,  3.15it/s]
 

 

-
Downloading Respiration channel: 100%|██████████| 2/2 [00:01<00:00,  1.27it/s]
+
Downloading Respiration channel: 100%|██████████| 2/2 [00:00<00:00,  2.40it/s]
 

 

-
Downloading Respiration channel: 100%|██████████| 2/2 [00:01<00:00,  1.29it/s]
+
Downloading Respiration channel: 100%|██████████| 2/2 [00:00<00:00,  2.49it/s]
 

 

 

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

 

 

-../_images/8fc9c210ab62f5dd9a3be3ce533d3c8c7ee05351b66a0f94da4f8a26be10ae39.svg

+../_images/8f02834ccc45a1fbb4bd4aabfac2d75a89a86b3ef90438ded772ac7bf43de688.svg

 

 

 

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

 

-
/opt/hostedtoolcache/Python/3.12.3/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/3.12.3/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/7e00389871cdd74b485f97194c9b2927882aa6174f3e683cb0d1d05d496e1112.png
+../_images/3f1478515e749ee46db1d41960b5b5a8088f7ebd8dbf86c786e246a32ff19e69.png
 

 

 

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

 

 

-../_images/ad616a16fc466156f95d1bbc973a973925f05f524521b5bcbf6cc659a2f20bb1.png
+../_images/e3c3adee2dbe8079e19683fc9512ea7692d189aec0c8ffd29ce4f1c7d0edcb0c.png
 

 

 
@@ -744,16 +744,16 @@ 
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 b0ced88e3..689dd5f0b 100644
--- a/dev/notebooks/Example_2_Input_node_volatility_coupling.html
+++ b/dev/notebooks/Example_2_Input_node_volatility_coupling.html
@@ -8,7 +8,7 @@
     
     
 
-    Example 2: Estimating the mean and precision of an input node — pyhgf 0.0.19 documentation
+    Example 2: Estimating the mean and precision of an input node — pyhgf 0.1.0 documentation
   
   
   
@@ -39,7 +39,7 @@
 
   
 
-    
+    
     
     
     
@@ -691,16 +691,16 @@ 
System configuration
diff --git a/dev/notebooks/Example_3_Multi_armed_bandit.html b/dev/notebooks/Example_3_Multi_armed_bandit.html
index ddde24cba..165578a55 100644
--- a/dev/notebooks/Example_3_Multi_armed_bandit.html
+++ b/dev/notebooks/Example_3_Multi_armed_bandit.html
@@ -8,7 +8,7 @@
     
     
 
-    Example 3: A multi-armed bandit task with independent rewards and punishments — pyhgf 0.0.19 documentation
+    Example 3: A multi-armed bandit task with independent rewards and punishments — pyhgf 0.1.0 documentation
   
   
   
@@ -39,7 +39,7 @@
 
   
 
-    
+    
     
     
     
@@ -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/61d33ae5654fd12b727e83f626f9e9a49b416ea95895d317d0cfac0c96cc7c85.png
+../_images/b388d77d8c5e967b649cc174df475d184ba28d155bb2c9ef1b711d6ea7442f2d.png
 

 
 
@@ -1130,18 +1133,18 @@ 
System configuration
diff --git a/dev/notebooks/Exercise_1_Using_the_HGF.html b/dev/notebooks/Exercise_1_Using_the_HGF.html
index 9724dfa9b..17622e37f 100644
--- a/dev/notebooks/Exercise_1_Using_the_HGF.html
+++ b/dev/notebooks/Exercise_1_Using_the_HGF.html
@@ -8,7 +8,7 @@
     
     
 
-    An introduction to Hierarchical Gaussian Filters through practical exercises — pyhgf 0.0.19 documentation
+    An introduction to Hierarchical Gaussian Filters through practical exercises — pyhgf 0.1.0 documentation
   
   
   
@@ -39,7 +39,7 @@
 
   
 
-    
+    
     
     
     
@@ -51,7 +51,7 @@
     
     
     
-    
+    
     
     
     
@@ -763,7 +763,7 @@ 
Parameters optimization
 
-
/opt/hostedtoolcache/Python/3.12.3/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/3.12.3/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()
 

 

@@ -782,7 +782,7 @@ 
Parameters optimization
 

 

-../_images/6cc5558edb31ee89049535756265c3c24812214458771172b2f13965b7faf915.png
+../_images/eb8a93b8436a15b969944730a1c3638b07f51b4c97db064026656ea17613dc6e.png
 

 

 

@@ -824,14 +824,14 @@ 
Parameters optimization
     
       tonic_volatility_1
-      -5.894
-      0.944
-      -7.583
-      -4.064
-      0.033
-      0.024
-      909.0
-      730.0
+      -5.987
+      0.92
+      -7.644
+      -4.278
+      0.03
+      0.021
+      1039.0
+      872.0
       1.0
     
   
@@ -1172,7 +1172,7 @@ 
Biased random{"version_major": 2, "version_minor": 0, "model_id": "cef5d509006949f0a946318a058a89b0"}
/opt/hostedtoolcache/Python/3.12.3/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/3.12.3/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()
 

 

@@ -1191,7 +1191,7 @@ 
Biased random
-../_images/0d8b0a34a78b0706d3e8592eb7e323d6959792b220385abd08546a479e442274.png
+../_images/ccec5ebe74a25dbde1673bf06ad07abb65f430d36ec7f20696fa9459d3965955.png
 

 

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

@@ -1206,8 +1206,8 @@ 
Biased random
Computed from 4000 posterior samples and 1.0 observations log-likelihood matrix.
 
          Estimate       SE
-elpd_loo  -222.50     0.00
-p_loo        0.75        -
+elpd_loo  -222.61     0.00
+p_loo        0.86        -
 
 There has been a warning during the calculation. Please check the results.
 ------
@@ -1316,14 +1316,14 @@ 
Rescorla-Wagner{"version_major": 2, "version_minor": 0, "model_id": "9454b4ff419641f59173e2ea96aaa80d"}
/opt/hostedtoolcache/Python/3.12.3/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/3.12.3/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 56 seconds.
+
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 57 seconds.
 

 

 

@@ -1335,7 +1335,7 @@ 
Rescorla-Wagner
-../_images/5aeb49bb971290483bb58311a3c70fa0704c3fb84aaa30c8a3ad60f8b1b78949.png
+../_images/0670c25d155c141bff5d2b6d58d70ede843822fc415058f8260404e2d6f9d613.png
 

 

 

@@ -1349,8 +1349,8 @@ 
Rescorla-Wagner
Computed from 4000 posterior samples and 1.0 observations log-likelihood matrix.
 
          Estimate       SE
-elpd_loo  -104.15     0.00
-p_loo        0.90        -
+elpd_loo  -104.02     0.00
+p_loo        0.76        -
 
 There has been a warning during the calculation. Please check the results.
 ------
@@ -1359,8 +1359,8 @@ 
Rescorla-Wagner
-../_images/05c6bc13e1b0ddd904075fc5039f0199274a997ea06ae05a4750754dcd2ce6f1.png
+../_images/36815afb7501b5ec388908eed9edb34945a64fc6e6c3484c5bb53fb7e41d1ad4.png
 

 

 
@@ -1470,19 +1470,19 @@ 
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 10 seconds.
+
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 9 seconds.
 

 

 

@@ -1494,7 +1494,7 @@ 
Two-level HGF
-../_images/52279f718622dcc39bdede0aef0e448c430427abd844ac64110b264f1a97f5e8.png
+../_images/8c8d851a21cb75f5baf61ec54f4243c10a6ffc8d5369d1e48a4d103914198e6c.png
 

 

 

@@ -1508,8 +1508,8 @@ 
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  -114.20     0.00
+p_loo        0.86        -
 
 There has been a warning during the calculation. Please check the results.
 ------
@@ -1518,8 +1518,8 @@ 
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 12 seconds.
+
Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 11 seconds.
 

 

-
There were 13 divergences after tuning. Increase `target_accept` or reparameterize.
+
There were 19 divergences after tuning. Increase `target_accept` or reparameterize.
 

 

 

@@ -1616,7 +1616,7 @@ 
Three-level HGF
-../_images/c7cf8ab83a2de22d18e30558e335b525ac32047eea2bdeb3836039ae7af17e19.png
+../_images/15d27997b6cef35cd68ef229c66a8c9fec6a88123b062e5108c4f1ece076a90f.png
 

 

 

@@ -1630,8 +1630,8 @@ 
Three-level HGF
Computed from 4000 posterior samples and 1.0 observations log-likelihood matrix.
 
          Estimate       SE
-elpd_loo  -113.75     0.00
-p_loo        0.79        -
+elpd_loo  -114.04     0.00
+p_loo        1.09        -
 
 There has been a warning during the calculation. Please check the results.
 ------
@@ -1640,8 +1640,8 @@ 
Three-level HGF
-../_images/2cf29189855912514b9df2f7ab8d959fa814fc13810e1bc12cdd8e234e92d2bd.png
+../_images/1ca2a881c1066bb95aa85dbcd012d339ea5d8c2b18a14f21936b409367aa60d8.png
 

 

 
@@ -1843,19 +1843,19 @@ 
System configuration

diff --git a/dev/references.html b/dev/references.html
index f036c1870..de4f62cda 100644
--- a/dev/references.html
+++ b/dev/references.html
@@ -8,7 +8,7 @@
     
     
 
-    References — pyhgf 0.0.19 documentation
+    References — pyhgf 0.1.0 documentation
   
   
   
@@ -39,7 +39,7 @@
 
   
 
-    
+    
     
     
     
diff --git a/dev/search.html b/dev/search.html
index f220e37b3..4964a8e66 100644
--- a/dev/search.html
+++ b/dev/search.html
@@ -6,7 +6,7 @@
 
   
     
-    Search - pyhgf 0.0.19 documentation
+    Search - pyhgf 0.1.0 documentation
   
   
   
@@ -37,7 +37,7 @@
 
   
 
-    
+    
     
     
     
diff --git a/dev/searchindex.js b/dev/searchindex.js
index e982b3729..fffe9beee 100644
--- a/dev/searchindex.js
+++ b/dev/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"A multilevel binary HGF": [[60, "a-multilevel-binary-hgf"]], "API": [[0, "api"]], "Acknowledgments": [[51, "acknowledgments"]], "Add data": [[56, "add-data"], [56, "id4"], [58, "add-data"], [58, "id3"]], "Adding a drift to the random walk": [[53, "adding-a-drift-to-the-random-walk"]], "An introduction to Hierarchical Gaussian Filters through practical exercises": [[65, "an-introduction-to-hierarchical-gaussian-filters-through-practical-exercises"]], "Autoregressive processes": [[53, "autoregressive-processes"]], "Bayesian inference": [[64, "bayesian-inference"]], "Bayesian reinforcement learning: the binary HGF": [[65, "bayesian-reinforcement-learning-the-binary-hgf"]], "Belief updating under uncertainty: the continuous Hierarchical Gaussian Filter": [[65, "belief-updating-under-uncertainty-the-continuous-hierarchical-gaussian-filter"]], "Biased random": [[65, "biased-random"]], "Binary inputs": [[0, "binary-inputs"]], "Binary nodes": [[0, "binary-nodes"], [0, "id1"]], "Binary state nodes": [[0, "binary-state-nodes"]], "Bivariate normal distribution": [[55, "bivariate-normal-distribution"]], "Categorical nodes": [[0, "categorical-nodes"]], "Continuous inputs": [[0, "continuous-inputs"]], "Continuous nodes": [[0, "continuous-nodes"], [0, "id2"]], "Continuous state nodes": [[0, "continuous-state-nodes"]], "Continuous value coupling": [[54, "continuous-value-coupling"]], "Continuous volatility coupling": [[54, "continuous-volatility-coupling"]], "Coupling with binary nodes": [[54, "coupling-with-binary-nodes"]], "Create the model": [[56, "create-the-model"], [56, "id3"], [58, "create-the-model"], [58, "id2"]], "Creating a new response function": [[59, "creating-a-new-response-function"]], "Creating a new response function: the binary surprise": [[59, "creating-a-new-response-function-the-binary-surprise"]], "Creating and manipulating networks of probabilistic nodes": [[54, "creating-and-manipulating-networks-of-probabilistic-nodes"]], "Creating custom update functions": [[54, "creating-custom-update-functions"]], "Creating custom update sequences": [[54, "creating-custom-update-sequences"]], "Creating probabilistic nodes": [[54, "creating-probabilistic-nodes"]], "Creating the decision rule": [[59, "creating-the-decision-rule"]], "Creating the model": [[56, "creating-the-model"], [56, "id7"], [58, "creating-the-model"], [58, "id5"]], "Creating the probabilistic network": [[57, "creating-the-probabilistic-network"]], "Decision rule": [[64, "decision-rule"]], "Distribution": [[0, "distribution"]], "Dynamic assignation of update sequences": [[54, "dynamic-assignation-of-update-sequences"]], "Dynamic beliefs updating": [[53, "dynamic-beliefs-updating"]], "Embeding Hierarchical Gaussian Filters in a multilevel Bayesian model": [[60, "embeding-hierarchical-gaussian-filters-in-a-multilevel-bayesian-model"]], "Example 1: Bayesian filtering of cardiac volatility": 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