Commit graph

8 commits

Author SHA1 Message Date
Benjamin Trent
9ce59bb7a9
[ML] add text_similarity nlp task documentation (#88994)
Introduced in: #88439

* [ML] add text_similarity nlp task documentation

* Apply suggestions from code review

Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>

* Update docs/reference/ml/trained-models/apis/infer-trained-model.asciidoc

Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>

* Apply suggestions from code review

Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>

* Update docs/reference/ml/ml-shared.asciidoc

Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>

Co-authored-by: István Zoltán Szabó <istvan.szabo@elastic.co>
2022-08-02 12:17:14 -04:00
István Zoltán Szabó
cf68d0f13c
[DOCS] Updates infer trained model API docs with inference_config (#88500)
Co-authored-by: Benjamin Trent <ben.w.trent@gmail.com>
2022-07-13 17:47:05 +02:00
István Zoltán Szabó
f3e8904b2c
[DOCS] Adds settings of question_answering to inference_config of PUT and infer trained model APIs (#86895)
Co-authored-by: Lisa Cawley <lcawley@elastic.co>
2022-05-19 11:04:14 +02:00
Benjamin Trent
258d2b71e2
[ML] add roberta/bart docs (#85001)
adds roberta section to NLP tokenization documentation.
2022-03-17 12:14:57 -04:00
Benjamin Trent
45deac4c96
[ML] add windowing support for text_classification (#83989)
This commit adds initial windowing support for text_classification tasks.

Specifically, a user can now indicate a span (non-negative) indicating the tokenization windowing span when creating
sub-sequences.

Default value is span: -1 indicates that no windowing should take place.
2022-03-01 08:29:12 -05:00
Lisa Cawley
104efd4343
[DOCS] Minor edits to trained model APIs (#81549) 2022-02-09 13:44:13 -08:00
Benjamin Trent
9dc8aea1cb
[ML] adds new mpnet tokenization for nlp models (#82234)
This commit adds support for MPNet based models.

MPNet models differ from BERT style models in that:

 - Special tokens are different
 - Input to the model doesn't require token positions.

To configure an MPNet tokenizer for your pytorch MPNet based model:

```
"tokenization": {
  "mpnet": {...}
}
```
The options provided to `mpnet` are the same as the previously supported `bert` configuration.
2022-01-05 12:56:47 -05:00
Lisa Cawley
429bdd9afc
[DOCS] Move trained model APIs out of dataframe analytics (#81315) 2021-12-03 09:21:09 -08:00
Renamed from docs/reference/ml/df-analytics/apis/put-trained-models.asciidoc (Browse further)