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small rewrites in types paragraph

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svlandeg 2020-09-02 14:25:18 +02:00
parent 821b2d4e63
commit d19ec6c67b
1 changed files with 5 additions and 6 deletions
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11
website/docs/usage/layers-architectures.md
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@ -70,12 +70,11 @@ classes = 16
> return model > return model
> ``` > ```
​ The Thinc `Model` class is a **generic type** that can specify its input and The Thinc `Model` class is a **generic type** that can specify its input and
output types. Python uses a square-bracket notation for this, so the type output types. Python uses a square-bracket notation for this, so the type
~~Model[List, Dict]~~ says that each batch of inputs to the model will be a ~~Model[List, Dict]~~ says that each batch of inputs to the model will be a
list, and the outputs will be a dictionary. Both `typing.List` and `typing.Dict` list, and the outputs will be a dictionary. You can be even more specific and
are also generics, allowing you to be more specific about the data. For write for instance~~Model[List[Doc], Dict[str, float]]~~ to specify that
instance, you can write ~~Model[List[Doc], Dict[str, float]]~~ to specify that
the model expects a list of [`Doc`](/api/doc) objects as input, and returns a the model expects a list of [`Doc`](/api/doc) objects as input, and returns a
dictionary mapping of strings to floats. Some of the most common types you'll see dictionary mapping of strings to floats. Some of the most common types you'll see
are: ​ are: ​
@ -103,8 +102,8 @@ interchangeably. There are many other ways they could be incompatible. However,
if the types don't match, they almost surely _won't_ be compatible. This little if the types don't match, they almost surely _won't_ be compatible. This little
bit of validation goes a long way, especially if you bit of validation goes a long way, especially if you
[configure your editor](https://thinc.ai/docs/usage-type-checking) or other [configure your editor](https://thinc.ai/docs/usage-type-checking) or other
tools to highlight these errors early. Thinc will also verify that your types tools to highlight these errors early. The config file is also validated
match correctly when your config file is processed at the beginning of training. at the beginning of training, to verify that all the types match correctly.
<Infobox title="Tip: Static type checking in your editor" emoji="💡"> <Infobox title="Tip: Static type checking in your editor" emoji="💡">