Open nredell opened 5 years ago
Hi, thanks for developing such a cool and handy tool! This is indeed amazing work. By the way, I have a question. I have a model(random-forest classifier)and shap values(N*T matrix) calculated from the model(I used python for these values [slunderg/shap]). I try to take benefit from your code and decompose r2_shap by features but am not sure how I can set an intercept. Can I just set this as 0 in my case? Looking forward to hearing back from you.
mw_fcs_xall <- read.csv("../test_X.csv")
mw_fcs_yall <- read.csv("../y_all.csv", sep="")
mw_fcs_yall = as.integer(unlist(mw_fcs_yall))
typeof(mw_fcs_yall)
colnames(test_X)
price_var = test_X %>%
select(starts_with("lag"))
asset_var = test_X %>%
select(cell_phone,number_celphones,roof_not_natural,roof_iron,Refrigerator,Radio,Television,Car, Bicycle, Motorcycle, Car )
weather_var = test_X %>%
select(raincytot, day1rain, maxdaysnorain,lhz_day1rain,day1rain, gdd, tmean, lhz_raincytot, lhz_maxdaysnorain, heatdays)
shapFlex::r2(price_var, y_test, 0)
shapFlex::r2(asset_var, y_test, 0)
shapFlex::r2(weather_var, y_test, 0)
+1
Sorry about the delayed response. Unfortunately, I'm not able to support this package right now. I'm out of the open source game for the time being.
At present, the package only works with single-outcome regression models. This isn't stated anywhere and, well, the logo seems to imply otherwise. Fix.