config.toml

[LOCATION]
input_dir = "C:/LOCATION_NAME"
output_dir = "C:/LOCATION_NAME"
hash_length = 5 

[LOCAL_AUTHORITY]
la_code = "UTLA22CD"
la_name = "UTLA22NM"

#-----------------
# MODEL PARAMETERS
#-----------------
[MODEL_OUTPUT]
n_peers = 15

[FEATURE_WEIGHTS]
# These are the features the pipeline will use.
# Please use the format:
# "Feature Name" = weight (must be between 0 and 1)
# Use a zero to not include the feature in analysis
"Over 15 Population" = 1
"85 and over Population %" = 1
"Aged 65 to 84 Population %" = 0
"black african %" = 0.5
"black caribbean %" = 0.5
"bangladeshi %" = 0.5
"indian %" = 0.5
"chinese %" = 0.5
"pakistani %" = 0.5
"mixed %" = 0
"white %" = 0
"home_owners %" = 0
"social_renters %" = 1
"student %" = 1
"routine_manual %" = 0
"low_english_proficiency %" = 1
"People per square km" = 1
"higher_level_qualifications %" = 1
"few_rooms %" = 0
"Distance to Sea (km)" = 0.5
"Sparsity (% population living in low density areas)" = 1


[CUSTOM_TRANSFORMATIONS]
# empty, but allows override of transformations
# The following values should be used:"
# "" - No Transformation
# "yj" - Yeo johnson
# "sqrr" - Square Root
# "log" - log
# "squared" - squared
# "bc" - boxcox (values must be > 0)
# "recip_sqrr"- reciprocal square root (values must be > 0)
# "recip" - reciprocal (values must be > 0)
#
# Features should be mapped to the desired transformation
# e.g.
# "student %" = "bc"


[REMOVE_LAS]
# Array of local authorities to be ignored in analysis
# Please use the local authority name, using the la_name field defined above
# E.g. las_to_remove = ["Isles of Scilly", "City of London"]
las_to_remove = ["Isles of Scilly", "City of London"]