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Releases: quantling/JudiLing.jl

v0.11.1

02 Sep 11:02
8111d57
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JudiLing v0.11.1

Diff since v0.11.0

Merged pull requests:

  • get_and_train_model: provided model is moved to gpu if available (#125) (@MariaHei)
  • Proper n_batch_eval for fiddl function (#126) (@MariaHei)

v0.11.0

03 Jul 16:49
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JudiLing v0.11.0

Diff since v0.10.1

Merged pull requests:

  • Evaluate with euclidean distance or cosine similarity (#122) (@MariaHei)
  • Add deprecation warning to test_combo (#124) (@MariaHei)

Closed issues:

  • Deprecate test_combo function (#123)

v0.10.1

14 Jun 09:28
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JudiLing v0.10.1

Diff since v0.10.0

v0.10.0

13 Jun 14:59
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JudiLing v0.10.0

Diff since v0.9.0

Merged pull requests:

Closed issues:

  • Make initial deep learning accuracy smaller (#102)
  • Investigate OOM error in FIDDL function (#112)
  • Add function for computing token-based accuracy (#118)
  • Add a function for dealing with CFBS features (#120)

v0.9.0

30 May 09:15
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JudiLing v0.9.0

Diff since v0.8.4

Merged pull requests:

Closed issues:

  • Document make_learn_seq (#116)

v0.8.4

17 May 15:32
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JudiLing v0.8.4

Diff since v0.8.3

Merged pull requests:

Closed issues:

  • Wrapper function for loading the dataset (#108)
  • Write make_combined_pS_matrix (#111)
  • Write documentation for loading_data functions (#114)

v0.8.3

11 Apr 11:25
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JudiLing v0.8.3

Diff since v0.8.2

Merged pull requests:

Closed issues:

  • doc latin example need update (#55)
  • Bug in in make_combined_L_matrix: SDs for inflection not added to make_L_matrix (#62)
  • Speeding up eval_SC_loose (#74)
  • Add support for training/validation data in eval_SC_loose (#87)

v0.8.2

25 Mar 12:55
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JudiLing v0.8.2

Diff since v0.8.1

  • updated doc pages to include new semantic vector functions

v0.8.1

15 Mar 09:26
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JudiLing v0.8.1

Diff since v0.8.0

  • fixed bug in display matrix
  • fixed another inlinestring error

v0.8.0

04 Mar 09:14
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JudiLing v0.8.0

Diff since v0.7.0

Merged pull requests:

Closed issues:

  • DataFrames Version (#77)
  • Make Flux and optional dependency for deep learning (#93)
  • Make PyCall an optional dependency (#94)
  • Create new version including deep learning code, all new fixes and optional PyCall (#96)
  • ArgumentError: string too large (17) to convert (#98)
  • Uni tests for deep learning code required (#99)
  • make FIL more efficient (#100)
  • load_embeddings errror (#103)