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Releases: INGEOTEC/EvoMSA

Version - 1.9.4

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@mgraffg mgraffg released this 31 May 16:51
f78c191

The class TextRepresentations have been renamed to DenseBoW

Version -1.9.3

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@mgraffg mgraffg released this 22 Mar 14:42
8e0a42f

Refactoring the code.

Version - 1.9.2

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@mgraffg mgraffg released this 14 Mar 16:56
7474339

Classmethod TextTransformantions.fromjson

Version - 1.9.1

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@mgraffg mgraffg released this 02 Mar 19:01
6c42110

This version is the first step to version 2.0. It contains all the code; however, it needs documentation.

Version - 1.5.9

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@mgraffg mgraffg released this 19 Feb 14:08
e9c251a

The function b4msa_params has the parameters used in the pretrained BoW model.

Version - 1.5.8

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@mgraffg mgraffg released this 31 Jan 19:37
2d76373

Improving the code's readability.

Version - 1.5.7

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@mgraffg mgraffg released this 25 Jan 17:30
0ae3ab5

Minor changes to improve the readability. The attribute kfold_instance is kfold_class.
The function EvoMSA.evodag.config_regressor helps configure a regressor on a pre-trained representation.

Version - 1.5.6

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@mgraffg mgraffg released this 23 Jan 20:31
2fa8de7

Adding some properties to BoW class.

Version - 1.5.5

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@mgraffg mgraffg released this 17 Jan 17:17
71fb982
  • Method select returns the instance
  • Download the model file again when it is corrupted.

Version - 1.5.4

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@mgraffg mgraffg released this 08 Jan 14:30
2fe7245

It includes the parameter unit vector in TextRepresentations.
The previous version had a bug, and this is the fix.