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Update Language API docs

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ines 2017-06-01 11:51:31 +02:00
parent 9c975c4882
commit 77dca25c7f
1 changed files with 8 additions and 12 deletions
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website/docs/api/language.jade
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@ -141,10 +141,10 @@ p
p Update the models in the pipeline. p Update the models in the pipeline.
+aside-code("Example"). +aside-code("Example").
with nlp.begin_training(gold, use_gpu=True) as (trainer, optimizer): for raw_text, entity_offsets in train_data:
for epoch in trainer.epochs(gold): doc = nlp.make_doc(raw_text)
for docs, golds in epoch: gold = GoldParse(doc, entities=entity_offsets)
state = nlp.update(docs, golds, sgd=optimizer) nlp.update([doc], [gold], drop=0.5, sgd=optimizer)
+table(["Name", "Type", "Description"]) +table(["Name", "Type", "Description"])
+row +row
@ -173,17 +173,13 @@ p Update the models in the pipeline.
+cell Results from the update. +cell Results from the update.
+h(2, "begin_training") Language.begin_training +h(2, "begin_training") Language.begin_training
+tag contextmanager +tag method
p p
| Allocate models, pre-process training data and acquire a trainer and | Allocate models, pre-process training data and acquire an optimizer.
| optimizer. Used as a contextmanager.
+aside-code("Example"). +aside-code("Example").
with nlp.begin_training(gold, use_gpu=True) as (trainer, optimizer): optimizer = nlp.begin_training(gold_tuples)
for epoch in trainer.epochs(gold):
for docs, golds in epoch:
state = nlp.update(docs, golds, sgd=optimizer)
+table(["Name", "Type", "Description"]) +table(["Name", "Type", "Description"])
+row +row
@ -199,7 +195,7 @@ p
+footrow +footrow
+cell yields +cell yields
+cell tuple +cell tuple
+cell A trainer and an optimizer. +cell An optimizer.
+h(2, "use_params") Language.use_params +h(2, "use_params") Language.use_params
+tag contextmanager +tag contextmanager