> I'm trying to run the code: inds<-which(c != 0 ), but it gave me error: Error
> in
> base::which(x, arr.ind, useNames, ...) : argument to 'which' is not logical
Your coefficients are not a numeric vector. You'll have to sort that out by
extracting or testing the individual values. A look at your output _tells you_
that the object is a sparse matrix of class dgCMatrix . Looking that up would
tell you that the nonzero elements are in slot x of the object. So it may be
unnecessary to ask which are zero; maybe you just need c@x (though I also would
recommend you avoid using common function names as variable names)
If you do need to test elements for zeroes, though, note that '==' and '!=' are
not usually recommended for comparisons with zero owing to finite numerical
representation. So that may well be unwise. See the Note in ?'=='.
S Ellison
> Here is code:
> alphas <- seq(0, 1, by=.002)mses <- numeric(501)mins <- numeric(501)maxes
> <- numeric(501)for(i in 1:501){ cvfits <- cv.glmnet(Train2,
> Train$Item_Outlet_Sales, alpha=alphas[i], nfolds=32) loc <-
> which(cvfits$lambda==cvfits$lambda.min) maxes[i] <- cvfits$lambda %>%
> max mins[i] <- cvfits$lambda %>% min mses[i] <- cvfits$cvm[loc]}`%ni%`<-
> Negate(`%in%`)c<-coef(cvfits,s='lambda.1se',exact=TRUE)inds<-which(c != 0
> ) Here is the c content looks like: > c33 x 1 sparse Matrix of class
> "dgCMatrix" 1(Intercept)
> 7.476895931Item_Fa
> t_Content.Low.Fat . Item_Fat_Content.Regular .
> Item_Type
> .Breads . Item_Type.Breakfast .
> Item_Type.Canned
> 0.003430669Item_Type.Dairy -
> 0.022579673Item_Type.Frozen.Foods -
> 0.008216547Item_Type.Fruits.and.Vegetables . Item_Type.Hard.Drinks
> . Item_Type.Health.and.Hygiene .
> Item_Type.Household
> . Item_Type.Meat . Item_Type.Others
> . Item
> _Type.Seafood . Item_Type.Snack.Foods .
> Item_Type.S
> oft.Drinks . Item_Type.Starchy.Foods .
> Outlet_Establishm
> ent_Year.1987 -
> 0.345927916Outlet_Establishment_Year.1997 1.692678186Outlet_Establishm
> ent_Year.1998 -
> 2.259508290Outlet_Establishment_Year.1999 . Outlet_Establishment_Y
> ear.2002 -
> 0.032971913Outlet_Establishment_Year.2004 1.756230495Outlet_Establishm
> ent_Year.2007 . Outlet_Establishment_Year.2009 -
> 0.549210057Outlet_Size.Medium 0.056897825Outlet_Size.Small
> -
> 1.706006538Outlet_Location_Type.Tier.3 0.373456218Item_Identifier_Com
> binedFD . Item_MRP
> 0.505435352Item_Weight
> . Item_Visibility_MeanRatio -0.007274202
> [[alternative HTML version deleted]]
>
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