kgrams 0.2.1
- Added Suggests dependency from tibble (#32).
kgrams 0.2.0
Breaking changes
tknz_sent() and preprocess() now have a
different implementation on Windows and UNIX OSs, respectively (since
the previous C++ implementation has impredictable behaviour on Windows,
see #30). This fix also included minor changes in the
tknz_sent() output, in some corner cases
(e.g. tknz_sent("") now returns character(0),
wheareas it used to return "").
New features
perplexity() gets a new argument exp that
allows to return the cross-entropy per word, rather than perplexity (its
exponential).perplexity.character() gets a new argument
detailed that allows to return, alongside with the total
perplexity of the input document, also the cross-entropies and word
lengths of individual sentences. Closes #28.
Improvements
- Minor documentation improvements.
kgrams 0.1.5
- Removed “Tools for…” at the beginning of package DESCRIPTION, as per
CRAN’s request.
- Simplified examples in
?kgram_freqs.
kgrams 0.1.4
kgrams 0.1.3
- Remove dependency from external online sources in vignette.
kgrams 0.1.2
Overall Software
Improvements
- The package’s test suite has been greatly extended.
- Improved error/warning conditions for wrong arguments.
- Re-enabled compiler diagnostics as per CRAN policy (#19)
API Changes
verbose arguments now default to
FALSE.probability(), perplexity() and
sample_sentences() are restricted to accept only
language_model class objects as their model
argument.
New features
as_dictionary(NULL) now returns an empty
dictionary.
Bug Fixes
- Fixed bug causing
.preprocess and
.tknz_sent arguments to be ignored in
process_sentences().
- Fixed previously wrong defaults for
max_lines and
batch_size arguments in
kgram_freqs.connection().
- Added print method for class
dictionary.
- Fixed bug causing invalid results in
dictionary() with
batch processing and non-trivial size constraints on vocabulary
size.
Other
- Maintainer’s email updated