Merge 558ae18 into a39bc32

RasaHQ · Mar 20, 2020 · 811c3fb · 811c3fb
2 parents a39bc32 + 558ae18
commit 811c3fb
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diff --git a/docs/_static/css/custom.css b/docs/_static/css/custom.css
@@ -6,3 +6,18 @@ dl.glossary dt {
 dl.glossary dd {
     margin-top: 2px;
 }
+
+.toggle .header {
+    display: block;
+    clear: both;
+}
+
+.toggle .header:after {
+    content: "▶ show";
+    cursor: pointer;
+}
+
+.toggle .header.open:after {
+    content: "▼ hide";
+    cursor: pointer;
+}
diff --git a/docs/_templates/page.html b/docs/_templates/page.html
@@ -0,0 +1,14 @@
+{% extends "!page.html" %}
+
+{% block footer %}
+ <script type="text/javascript">
+    $(document).ready(function() {
+        $(".toggle > *").hide();
+        $(".toggle .header").show();
+        $(".toggle .header").click(function() {
+            $(this).parent().children().not(".header").toggle(400);
+            $(this).parent().children(".header").toggleClass("open");
+        })
+    });
+</script>
+{% endblock %}
diff --git a/docs/core/policies.rst b/docs/core/policies.rst
diff --git a/docs/nlu/components.rst b/docs/nlu/components.rst
diff --git a/docs/nlu/entity-extraction.rst b/docs/nlu/entity-extraction.rst
@@ -26,6 +26,8 @@ Component                  Requires           Model           	        Notes
 ``DucklingHTTPExtractor``  running duckling   context-free grammar      provides pre-trained entities
 ``MitieEntityExtractor``   MITIE              structured SVM            good for training custom entities
 ``EntitySynonymMapper``    existing entities  N/A                       maps known synonyms
+``DIETClassifier``                            conditional random field
+                                              on top of a transformer   good for training custom entities
 =========================  =================  ========================  =================================
 
 If your pipeline includes one or more of the components above,

diff --git a/rasa/nlu/classifiers/sklearn_intent_classifier.py b/rasa/nlu/classifiers/sklearn_intent_classifier.py
@@ -7,7 +7,7 @@
 import numpy as np
 
 import rasa.utils.io as io_utils
-from rasa.constants import DOCS_URL_TRAINING_DATA_NLU, DOCS_URL_MIGRATION_GUIDE
+from rasa.constants import DOCS_URL_TRAINING_DATA_NLU
 from rasa.nlu.classifiers import LABEL_RANKING_LENGTH
 from rasa.nlu.featurizers.featurizer import DenseFeaturizer
 from rasa.nlu.components import Component

diff --git a/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py b/rasa/nlu/featurizers/sparse_featurizer/count_vectors_featurizer.py
@@ -73,7 +73,7 @@ def required_components(cls) -> List[Type[Component]]:
         "max_features": None,  # int or None
         # if convert all characters to lowercase
         "lowercase": True,  # bool
-        # handling Out-Of-Vacabulary (OOV) words
+        # handling Out-Of-Vocabulary (OOV) words
         # will be converted to lowercase if lowercase is True
         "OOV_token": None,  # string or None
         "OOV_words": [],  # string or list of strings

diff --git a/rasa/nlu/tokenizers/convert_tokenizer.py b/rasa/nlu/tokenizers/convert_tokenizer.py
@@ -3,7 +3,6 @@
 from rasa.nlu.tokenizers.tokenizer import Token
 from rasa.nlu.tokenizers.whitespace_tokenizer import WhitespaceTokenizer
 from rasa.nlu.training_data import Message
-from rasa.nlu.constants import MESSAGE_ATTRIBUTES, TOKENS_NAMES
 import rasa.utils.train_utils as train_utils
 import tensorflow as tf