From fed47e8a9f1d4a7fdc6054e8f102a1886e8216ad Mon Sep 17 00:00:00 2001 From: James Nightingale <james.w.nightingale@durham.ac.uk> Date: Tue, 26 Mar 2024 14:19:10 +0000 Subject: [PATCH] silence! --- test_autolens/config/output.yaml | 63 ++++++++++++++++++++++++++++++++ 1 file changed, 63 insertions(+) create mode 100644 test_autolens/config/output.yaml diff --git a/test_autolens/config/output.yaml b/test_autolens/config/output.yaml new file mode 100644 index 000000000..5cb8812dc --- /dev/null +++ b/test_autolens/config/output.yaml @@ -0,0 +1,63 @@ +# Determines whether files saved by the search are output to the hard-disk. This is true both when saving to the +# directory structure and when saving to database. + +# Files can be listed name: bool where the name is the name of the file without a suffix (e.g. model not model.json) +# and bool is true or false. + +# If a given file is not listed then the default value is used. + +default: true # If true then files which are not explicitly listed here are output anyway. If false then they are not. + +### Samples ### + +# The `samples.csv`file contains every sampled value of every free parameter with its log likelihood and weight. + +# This file is often large, therefore disabling it can significantly reduce hard-disk space use. + +# `samples.csv` is used to perform marginalization, infer model parameter errors and do other analysis of the search +# chains. Even if output of `samples.csv` is disabled, these tasks are still performed by the fit and output to +# the `samples_summary.json` file. However, without a `samples.csv` file these types of tasks cannot be performed +# after the fit is complete, for example via the database. + +samples: true + +# The `samples.csv` file contains every accepted sampled value of every free parameter with its log likelihood and +# weight. For certain searches, the majority of samples have a very low weight, which has no numerical impact on the +# results of the model-fit. However, these samples are still output to the `samples.csv` file, taking up hard-disk space +# and slowing down analysis of the samples (e.g. via the database). + +# The `samples_weight_threshold` below specifies the threshold value of the weight such that samples with a weight +# below this value are not output to the `samples.csv` file. This can be used to reduce the size of the `samples.csv` +# file and speed up analysis of the samples. + +# Note that for many searches (e.g. MCMC) all samples have equal weight, and thus this threshold has no impact and +# there is no simple way to save hard-disk space. However, for nested sampling, the majority of samples have a very +# low weight and this threshold can be used to save hard-disk space. + +# Set value to empty (e.g. delete 1.0e-10 below) to disable this feature. + +samples_weight_threshold: 1.0e-10 + +### Search Internal ### + +# The search internal folder which contains a saved state of the non-linear search, as a .pickle or .dill file. + +# If the entry below is false, the folder is still output during the model-fit, as it is required to resume the fit +# from where it left off. Therefore, settings `false` below does not impact model-fitting checkpointing and resumption. +# Instead, the search internal folder is deleted once the fit is completed. + +# The search internal folder file is often large, therefore deleting it after a fit is complete can significantly +# reduce hard-disk space use. + +# The search internal representation (e.g. what you can load from the output .pickle file) may have additional +# quantities specific to the non-linear search that you are interested in inspecting. Deleting the folder means this +# information is list. + +search_internal: false + +# Other Files: + +covariance: false # `covariance.csv`: The [free parameters x free parameters] covariance matrix. +data: true # `data.json`: The value of every data point in the data. +noise_map: true # `noise_map.json`: The value of every RMS noise map value. +