fastai: TextLearner – R documentation

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TextLearner

Description

Basic class for a 'Learner' in NLP.

Usage

TextLearner(
  dls,
  model,
  alpha = 2,
  beta = 1,
  moms = list(0.8, 0.7, 0.8),
  loss_func = NULL,
  opt_func = Adam(),
  lr = 0.001,
  splitter = trainable_params(),
  cbs = NULL,
  metrics = NULL,
  path = NULL,
  model_dir = "models",
  wd = NULL,
  wd_bn_bias = FALSE,
  train_bn = TRUE
)

Arguments

`dls`	dls
`model`	model
`alpha`	alpha
`beta`	beta
`moms`	moms
`loss_func`	loss_func
`opt_func`	opt_func
`lr`	lr
`splitter`	splitter
`cbs`	cbs
`metrics`	metrics
`path`	path
`model_dir`	model_dir
`wd`	wd
`wd_bn_bias`	wd_bn_bias
`train_bn`	train_bn

Value

None

fastai

Interface to 'fastai'

v2.0.7

Apache License 2.0

Authors

Turgut Abdullayev [ctb, cre, cph, aut]

Initial release