encode: encode

In kailin-lu/recordlinkR: recordlinkR

Description

Adds encoded columns to dataframes to be linked

Usage

encode(dfA, dfB, cols.encoder, encoder.model.path = NULL,
  encoder.trainA = NULL, encoder.trainB = NULL, dim.latent = 8,
  dim.encode = 64, dim.decode = 64, max.length = 12,
  num.encode.layers = 2, num.decode.layers = 2, batch.size = 32,
  epochs = 500, lr = 5e-04, validation.split = 0.2,
  save.dir = "~/blocking_models/", reconstruct = TRUE,
  reconstruct.n = 5, reconstruct.display = 20, earlystop = FALSE,
  earlystop.patience = 10, tensorboard = FALSE,
  tensorboard.runid = as.character(Sys.time()), verbose = 2)

Arguments

dfA	DataframeA
dfB	DataframeB
cols.encoder	Encoder cols
encoder.model.path	Model path if no train
encoder.trainA	trainA
encoder.trainB	trainB
dim.latent	Dim latent
dim.encode	Dim encode
dim.decode	Dim decode
max.length	Max length
num.encode.layers	encode layers
num.decode.layers	decode layers
batch.size	batch size
epochs	Epochs
lr	Learning rate
validation.split	validation split
save.dir	Save directory
reconstruct	reconstruct
reconstruct.n	How many reconstructions to show
reconstruct.display	After many epochs to show reconstructions
earlystop	TRUE if stopping early when validation loss is no longer decreasing, if FALSE then train for all epochs
earlystop.patience	Number of epochs to wait while validation loss does not decrease before stopping training early
tensorboard	TRUE if tensorboard metrics are to be recorded. Logs are recorded in the /tmp/ directory
tensorboard.runid	Unique identifier for the run to separate tensorboard logs
verbose	Verbosity level for training output, 0 = silence, 1 = minimal, 2 = verboses

kailin-lu/recordlinkR documentation built on May 4, 2019, 7:37 a.m.