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config.yml
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config.yml
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sensitivity:
sbatch:
wd: "/homes/hchacont/repos/MPH_thesis/"
output_dir: "/ihme/scratch/users/hchacont/mrbrtcovid/runs/"
threads: 1
user: "hchacont"
memory: "1G"
time: "00:20:00"
memory_agg: "20G"
mrbrt:
spline_degree: 2
spline_knots_type: "frequency"
prior_spline_maxder_gaussian: !expr array(c(0, 0.03))
spline_knots: !expr array(c(seq(0, 1, by = 0.1)))
cascade:
output: "output/"
dpt_label: "mrbrt_cascade_dpt"
prov_label: "mrbrt_cascade_prov"
pred:
res: 1
depts: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,1])
provs: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,2])
save:
plots: FALSE
plot_dir: "plots/test/"
plots_format: ".png"
prediction: FALSE
prediction_dir: "data/pre_processed/pred_prov_time_series.csv"
sensitivity:
theta_dpt: !expr seq(1,40, 1)
theta_prov: !expr seq(1,40, 1)
condition1: 1.2
condition2: 1.5
output: "sensitivity/models"
default:
sbatch:
wd: "/homes/hchacont/repos/MPH_thesis/"
threads: 4
user: "hchacont"
memory: "1G"
time: "00:10:00"
mrbrt:
spline_degree: 3
spline_knots_type: "frequency"
prior_spline_maxder_gaussian: !expr array(c(0, 0.03))
spline_knots: !expr array(c(seq(0, 1, by = 0.1)))
cascade:
output: "output/"
dpt_label: "mrbrt_cascade_dpt"
prov_label: "mrbrt_cascade_prov"
theta_dpt: 12
theta_prov: 15
pred:
res: 0.1
depts: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,1])
save:
plots: FALSE
plot_dir: "plots/test/"
plots_format: ".png"
prediction: FALSE
prediction_dir: "data/pre_processed/pred_prov_time_series.csv"
sensitivity:
output: "sensitivity/models"
analysis:
sbatch:
wd: "/homes/hchacont/repos/MPH_thesis/"
output_dir: "/ihme/scratch/users/hchacont/mrbrtcovid/results/"
threads: 1
user: "hchacont"
memory: "1G"
time: "00:20:00"
memory_agg: "20G"
mrbrt:
spline_degree: 2
spline_knots_type: "domain"
prior_spline_maxder_gaussian: !expr array(c(0, 0.03))
spline_knots: !expr array(c(seq(0, 1, by = 0.085), 1))
cascade:
output: "output/"
dpt_label: "mrbrt_cascade_dpt"
prov_label: "mrbrt_cascade_prov"
theta_dpt: 15
theta_prov: 24
pred:
res: 0.25
depts: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,1])
provs: !expr unique(utils::read.csv("data/pre_processed/poblacion_prov.csv")[,2])
save:
plots: FALSE
plot_mrbrt: "plots/mrbrt_predictions"
plot_dir: "plots/test/"
plots_format: ".png"
prediction: FALSE
prediction_dir: "data/pre_processed/pred_prov_time_series.csv"
sensitivity:
theta_dpt: !expr seq(1,40, 1)
theta_prov: !expr seq(1,40, 1)
condition1: 1.2
condition2: 1.5
output: "sensitivity/models"