predict.TRMF: Predict method for TRMF model fit
In TRMF: Temporally Regularized Matrix Factorization

Description Usage Arguments Details Value Author(s) See Also Examples

Predict values based on the TRMF fit

1 2	## S3 method for class 'TRMF' predict(object,newdata=NULL, ...)

`object`	A trained TRMF object
`newdata`	A list with slot `Xm` and possibly with slots `cXreg` and `gXreg`
`...`	other arguments, ignored.

If newdata is NULL, returns fitted model. If newdata doesn't have the term Xm or if it has a different number of columns than the number of latent time series, it will throw an error. If the object also contains a global regression, gXreg must be present and appropriately sized. If the object also contains a column-wise regression, cXreg must be present and appropriately sized.

Returns a matrix of predictions.

Chad Hammerquist

create_TRMF, TRMF_columns, TRMF_trend,train.TRMF

xm = poly(x = (-10:10)/10,degree=4)
fm = matrix(runif(40),4,10)
Am = xm%*%fm+rnorm(210,0,.2)

# create model
obj = create_TRMF(Am)
out = train(obj)
fitted(out)
newXm = 1:5
predict(out,newdata=list(Xm=newXm))