Rooba
/
spaCy
mirror of https://github.com/explosion/spaCy.git
1
1
Fork 0
Code Issues Packages Projects Releases Wiki Activity

remove outdated TODO's

This commit is contained in:
svlandeg 2020-08-21 17:55:15 +02:00
parent e92bd6e1c1
commit 518a1f97f3
2 changed files with 0 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
website/docs/api/data-formats.md
View File

@ -127,8 +127,6 @@ $ python -m spacy train config.cfg --paths.train ./corpus/train.spacy
This section defines settings and controls for the training and evaluation This section defines settings and controls for the training and evaluation
process that are used when you run [`spacy train`](/api/cli#train). process that are used when you run [`spacy train`](/api/cli#train).
<!-- TODO: complete -->
| Name | Description | | Name | Description |
| --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | --------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| `accumulate_gradient` | Whether to divide the batch up into substeps. Defaults to `1`. ~~int~~ | | `accumulate_gradient` | Whether to divide the batch up into substeps. Defaults to `1`. ~~int~~ |

5
website/docs/usage/training.md
View File

@ -104,11 +104,6 @@ workflows, from data preprocessing to training and packaging your model.
## Training config {#config} ## Training config {#config}
<!-- > #### Migration from spaCy v2.x
>
> TODO: once we have an answer for how to update the training command
> (`spacy migrate`?), add details here -->
Training config files include all **settings and hyperparameters** for training Training config files include all **settings and hyperparameters** for training
your model. Instead of providing lots of arguments on the command line, you only your model. Instead of providing lots of arguments on the command line, you only
need to pass your `config.cfg` file to [`spacy train`](/api/cli#train). Under need to pass your `config.cfg` file to [`spacy train`](/api/cli#train). Under