greta (version 0.2.0)

functions: functions for greta arrays

Description

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

Usage

# 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, ...)
 diag(x, nrow, ncol)
 diag(x) <- value
 solve(a, b, ...)
# reducing operations
 sum(..., na.rm = TRUE)
 prod(..., na.rm = TRUE)
 min(..., na.rm = TRUE)
 max(..., na.rm = TRUE)
# miscellaneous operations
 sweep(x, MARGIN, STATS, FUN = c('-', '+', '/', '*'))

Details

TensorFlow only enables rounding to integers, so round() will error if digits is set to anything other than 0.

Any additional arguments to chol() and solve() will be ignored, see the TensorFlow documentation for details of these routines.

diag() can be used to extract or replace the diagonal part of a square and two-dimensional greta array, but it cannot be used to create a matrix-like greta array from a scalar or vector-like greta array. A static diagonal matrix can always be created with e.g. diag(3), and then converted into a greta array.

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.

Examples

# 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)

e = diag(x)
diag(x) <- e + 1

z = t(a)

y = sweep(x, 1, e, '-')

# }