Make Predcitions Based on Fit From cv_sgdnet()

This function is mostly for convenience, since it makes it easy to take an object from a call to cv_sgdnet() and make predictions based on a \(\lambda\) chosen from cross-validation results.

# S3 method for cv_sgdnet
predict(object, newx, s = c("lambda_1se",
  "lambda_min"), ...)

Arguments

object	a fit from cv_sgdnet()
newx	new data to base predictions on
s	'lambda.1se' chooses predictions based on the model fit to the largest \(\lambda\) with an error at most one standard deviation away from the fit with the least error; predictions are based on the latter fit if 'lambda.min' is chosen
...	arguments passed on to predict.sgdnet()

Value

Predictions for object given data in newx.

Examples

set.seed(1)
train_ind <- sample(150, 100)
fit <- cv_sgdnet(iris[train_ind, 1:4],
                 iris[train_ind, 5],
                 family = "multinomial",
                 nfolds = 5)
predict(fit, iris[-train_ind, 1:4], s = "lambda_min", type = "class")
#>       1           
#>  [1,] "setosa"    
#>  [2,] "setosa"    
#>  [3,] "setosa"    
#>  [4,] "setosa"    
#>  [5,] "setosa"    
#>  [6,] "setosa"    
#>  [7,] "setosa"    
#>  [8,] "setosa"    
#>  [9,] "setosa"    
#> [10,] "setosa"    
#> [11,] "setosa"    
#> [12,] "setosa"    
#> [13,] "setosa"    
#> [14,] "setosa"    
#> [15,] "setosa"    
#> [16,] "setosa"    
#> [17,] "setosa"    
#> [18,] "setosa"    
#> [19,] "versicolor"
#> [20,] "versicolor"
#> [21,] "versicolor"
#> [22,] "versicolor"
#> [23,] "versicolor"
#> [24,] "versicolor"
#> [25,] "versicolor"
#> [26,] "versicolor"
#> [27,] "versicolor"
#> [28,] "versicolor"
#> [29,] "versicolor"
#> [30,] "versicolor"
#> [31,] "versicolor"
#> [32,] "versicolor"
#> [33,] "virginica" 
#> [34,] "virginica" 
#> [35,] "virginica" 
#> [36,] "virginica" 
#> [37,] "virginica" 
#> [38,] "virginica" 
#> [39,] "versicolor"
#> [40,] "virginica" 
#> [41,] "virginica" 
#> [42,] "virginica" 
#> [43,] "virginica" 
#> [44,] "versicolor"
#> [45,] "virginica" 
#> [46,] "versicolor"
#> [47,] "virginica" 
#> [48,] "virginica" 
#> [49,] "virginica" 
#> [50,] "virginica"