src/test/scripts/functions/lineage/LineageReuseEval2.dml

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accuracy = function(Matrix[Double] X, Matrix[Double] y, Matrix[Double] B) return (Matrix[Double] err) {
  [M,yhat,acc] = multiLogRegPredict(X=X, B=B, Y=y, verbose=FALSE);
  err = as.matrix(1-(acc/100));
}

X = rand(rows=300, cols=20, sparsity=1.0, seed=1);
y = rand(rows=300, cols=1, min=1, max=3, sparsity=1.0, seed=1);
y = floor(y);

N = 200;
Xtrain = X[1:N,];
ytrain = y[1:N,];
Xtest = X[(N+1):nrow(X),];
ytest = y[(N+1):nrow(X),];

params = list("icpt", "reg", "maxii");
paramRanges = list(seq(0,2),10^seq(1,-6), 10^seq(1,3));
trainArgs = list(X=Xtrain, Y=ytrain, icpt=-1, reg=-1, tol=1e-9, maxi=100, maxii=-1, verbose=FALSE);
[B1,opt] = gridSearch(X=Xtrain, y=ytrain, train="multiLogReg", predict="accuracy", numB=ncol(X)+1,
  params=params, paramValues=paramRanges, trainArgs=trainArgs, verbose=FALSE);

[M,yhat,acc] = multiLogRegPredict(X=Xtest, B=B1, Y=ytest, verbose=FALSE);

write(yhat, $1, format="text");