Print the predict.cv.ptLasso object.
Usage
# S3 method for class 'predict.cv.ptLasso'
print(x, ...)Examples
# Train data
out = gaussian.example.data(k=2, class.sizes = c(50, 50))
x = out$x; y=out$y; groups = out$group;
# Test data
outtest = gaussian.example.data(k=2, class.sizes = c(50, 50))
xtest=outtest$x; ytest=outtest$y; groupstest=outtest$groups
cvfit = cv.ptLasso(x, y, groups = groups, nfolds = 3, family = "gaussian", type.measure = "mse")
pred = predict(cvfit, xtest, groupstest, ytest=ytest, s="lambda.min")
print(pred)
#>
#> Call:
#> predict.cv.ptLasso(object = cvfit, xtest = xtest, groupstest = groupstest,
#> ytest = ytest, s = "lambda.min")
#>
#>
#> alpha = 0.7
#>
#> Performance (Mean squared error):
#>
#> allGroups mean group_1 group_2 r^2
#> Overall 547.9 547.9 541.6 554.2 0.152982
#> Pretrain 581.5 581.5 564.3 598.8 0.100969
#> Individual 648.1 648.1 595.2 700.9 -0.001881
#>
#> Support size:
#>
#> Overall 17
#> Pretrain 12 (0 common + 12 individual)
#> Individual 2
# If ytest is not supplied, just prints the pretrained predictions.
pred = predict(cvfit, xtest, groupstest, s="lambda.min")
print(pred)
#>
#> Call:
#> predict.cv.ptLasso(object = cvfit, xtest = xtest, groupstest = groupstest,
#> s = "lambda.min")
#>
#>
#> alpha = 0.7
#>
#> Support size:
#>
#> Overall 17
#> Pretrain 12 (0 common + 12 individual)
#> Individual 2