sync: TSIR change
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				@ -45,7 +45,7 @@ TSIR <- function(X, y,
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    y <- as.integer(y)
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    # center `X`
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    X <- X - c(rowMeans(X, dim = length(modes)))
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    X <- X - as.vector(rowMeans(X, dim = length(modes)))
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    # Slice `X` into slices governed by `y`
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    slices <- Map(function(s) {
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@ -119,7 +119,7 @@ TSIR <- function(X, y,
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    }
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    # mode sample covariance matrices
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    Omegas <- Map(function(k) n^-1 * mcrossprod(X, mode = k), modes)
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    Omegas <- Map(function(k) prod(dim(X)[-k])^-1 * mcrossprod(X, mode = k), modes)
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    # Check condition of sample covariances and perform regularization if needed
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    if (is.finite(cond.threshold)) {
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