read-write-fcnndataset: Reading and writing datasets in the FCNN format

In FCNN4R: Fast Compressed Neural Networks for R

Description

These functions can be used to read and write datasets from/to a text file in the FCNN format. Datasets in the similar FANN format (comments are not supported by FANN) can also be read by read.fcnndataset.

Usage

read.fcnndataset(fname)

write.fcnndataset(fname, input, output)

Arguments

fname	character string with the filename
input	numeric matrix, each row corresponds to one input vector
output	numeric matrix with rows corresponding to expected outputs, the number of rows must be equal to the number of input rows

Details

Files are organised as follows:

• The first comment (beginning with #) is the dataset information (ignored on read),

• three numbers determine: number of records, no. of inputs and no. of outputs,

• each data record has two or three lines:

  • (optional) record information in a comment (beginning with #),

  • line with input values,

  • line with output values.

Value

read.fcnndataset returns a dataframe.

write.fcnndataset does not return.

Examples

# set up the XOR problem inputs and outputs
inp <- c(0, 0, 1, 1, 0, 1, 0, 1)
dim(inp) <- c(4, 2)
outp <- c(0, 1, 1, 0)
dim(outp) <- c(4, 1)
# write dataset
write.fcnndataset("xor.dat", inp, outp)
# show the output file
file.show("xor.dat")
# read dataset
xordf <- read.fcnndataset("xor.dat")
# show the imported dataset
show(xordf)

FCNN4R documentation built on May 29, 2017, 4:26 p.m.