Description Usage Arguments Examples
Model objects are updated in place to avoid memory issues. Nothing is returned.
1 | train_CP(d, m, new.iter = 1, params)
|
d |
an input data object created with |
m |
a |
new.iter |
numeric number of iterations to run (def: 1) |
params |
List of parameters created with |
1 2 3 4 5 6 7 8 9 10 11 | data.params <- get_data_params(c('decomp=CP'))
toy <- mk_toy(data.params)
train.data <- input_data$new(mode1.X=toy$mode1.X[,-1],
mode2.X=toy$mode2.X[,-1],
mode3.X=toy$mode3.X[,-1],
resp=toy$resp)
model.params <- get_model_params(c('decomp=CP'))
toy.model <- mk_model(train.data, model.params)
toy.model$rand_init(model.params)
train(d=train.data, m=toy.model, new.iter=1, params=model.params)
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