Add pre-trained RASA model

[src/rasa-model-agl.git] / config.yml

diff --git a/config.yml b/config.yml
new file mode 100644 (file)
index 0000000..69ca0ea
--- /dev/null
+++ b/config.yml
@@ -0,0 +1,45 @@
+language: en  # your 2-letter language code
+assistant_id: 20230807-130137-kind-easement
+
+# pipeline: null
+# # No configuration for the NLU pipeline was provided. The following default pipeline was used to train your model.
+# # If you'd like to customize it, uncomment and adjust the pipeline.
+# # See https://rasa.com/docs/rasa/tuning-your-model for more information.
+#   - name: WhitespaceTokenizer
+#   - name: RegexFeaturizer
+#   - name: LexicalSyntacticFeaturizer
+#   - name: CountVectorsFeaturizer
+#   - name: CountVectorsFeaturizer
+#     analyzer: char_wb
+#     min_ngram: 1
+#     max_ngram: 4
+#   - name: DIETClassifier
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: EntitySynonymMapper
+#   - name: ResponseSelector
+#     epochs: 100
+#     constrain_similarities: true
+#   - name: FallbackClassifier
+#     threshold: 0.3
+#     ambiguity_threshold: 0.1
+
+pipeline:
+  - name: WhitespaceTokenizer
+  - name: RegexFeaturizer
+  - name: LexicalSyntacticFeaturizer
+  - name: CountVectorsFeaturizer
+  - name: CountVectorsFeaturizer
+    analyzer: "char_wb"
+    min_ngram: 1
+    max_ngram: 4
+  - name: DIETClassifier
+    epochs: 100
+    constrain_similarities: true
+  - name: EntitySynonymMapper
+  - name: ResponseSelector
+    epochs: 100
+    constrain_similarities: true
+  - name: FallbackClassifier
+    threshold: 0.3
+    ambiguity_threshold: 0.1
\ No newline at end of file