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Fixing typo from taining to training

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Pradeep Kumar Tippa 2018-02-07 16:49:25 +05:30 committed by GitHub
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website/usage/_v2/_migrating.jade
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@ -127,7 +127,7 @@ p
| #[+api("pipe") #[code Pipe]], fully trainable and serializable,
| and follow the same API. Instead of updating the model and telling
| spaCy when to #[em stop], you can now explicitly call
| #[+api("language#begin_training") #[code begin_taining]], which
| #[+api("language#begin_training") #[code begin_training]], which
| returns an optimizer you can pass into the
| #[+api("language#update") #[code update]] function. While #[code update]
| still accepts sequences of #[code Doc] and #[code GoldParse] objects,