Description Usage Arguments Value Examples
The predict function for the mSIM package
| 1 | model_pred(Y, X, B, Y.true, X.pred)
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| Y | The training index matrix | 
| X | The training covariate matrix | 
| B | The coefficient matrix | 
| Y.true | The groundtruth for predicting index matrix | 
| X.pred | The covariate matrix for prediction | 
A list that contains the prediction result of Y and the MSE loss
| 1 | pred = predict(Y = Y, X = X, real.MSIM$B.sparse, Y.true = Y.true, X.pred = X.pred)
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