ak9im/p3
2023-03-12 16:21:26 +01:00
..
data p3: add theta{,T{,_p{0,1,2,3}}}, estim. err files 2023-03-12 16:18:22 +01:00
lrls
data.go
go.mod
go.sum
main.go
README.md
run.go
visualise.py p3: make visualise.py useful 2023-03-12 16:21:26 +01:00

p3

this is a Go subproject containing code for task no. 3. Python is used for visualisation.

compile

go build -v .

run

to compute correlations, impulse function:

# pass a csv data file.
./p2 -datafile=./data/m.csv

to visualise the computed data:

python visualise.py

alternatively, from current folder you could do both of the above in a single step:

# compute stuff and visualise.
-./p2 -datafile=./data/m.csv
+./p2 -datafile=./data/m.csv -vis