This is a list of functions (mostly from base R) that are currently implemented to transform greta arrays. Also see operators and transforms.

TensorFlow only enables rounding to integers, so `round()`

will
error if `digits`

is set to anything other than `0`

.

Any additional arguments to `chol()`

, `chol2inv`

, and
`solve()`

will be ignored, see the TensorFlow documentation for
details of these routines.

`sweep()`

only works on two-dimensional greta arrays (so `MARGIN`

can only be either 1 or 2), and only for subtraction, addition, division
and multiplication.

`tapply()`

works on column vectors (2D greta arrays with one column),
and `INDEX`

cannot be a greta array. Currently five functions are
available, and arguments passed to … are ignored.

# logarithms and exponentials log(x) exp(x) log1p(x) expm1(x) # miscellaneous mathematics abs(x) mean(x) sqrt(x) sign(x) # rounding of numbers ceiling(x) floor(x) round(x, digits = 0) # trigonometry cos(x) sin(x) tan(x) acos(x) asin(x) atan(x) # special mathematical functions lgamma(x) digamma(x) choose(n, k) lchoose(n, k) # matrix operations t(x) chol(x, ...) chol2inv(x, ...) cov2cor(V) solve(a, b, ...) kronecker(X, Y, FUN = c('*', '/', '+', '-')) # reducing operations sum(..., na.rm = TRUE) prod(..., na.rm = TRUE) min(..., na.rm = TRUE) max(..., na.rm = TRUE) # cumulative operations cumsum(x) cumprod(x) # solve an upper or lower triangular system backsolve(r, x, k = ncol(r), upper.tri = TRUE, transpose = FALSE) forwardsolve(l, x, k = ncol(l), upper.tri = FALSE, transpose = FALSE) #' # miscellaneous operations aperm(x, perm) apply(x, MARGIN, FUN = c("sum", "max", "mean", "min", "prod", "cumsum", "cumprod")) sweep(x, MARGIN, STATS, FUN = c('-', '+', '/', '*')) tapply(X, INDEX, FUN = c("sum", "max", "mean", "min", "prod"), ...)

# NOT RUN { x <- as_data(matrix(1:9, nrow = 3, ncol = 3)) a <- log(exp(x)) b <- log1p(expm1(x)) c <- sign(x - 5) d <- abs(x - 5) z <- t(a) y <- sweep(x, 1, e, '-') # }