Adding Regex to intent examples

Rasa Open Source
1

Hi,

I’m trying to the following Regex to the training examples for an intent: [0-9]{4}

but run get the following error after I run rasa train:

InvalidEntityFormatException: Incorrect training data format ('{4}').

Any idea why I get the error? I’ve included my config file below

Thanks Qamir

pipeline:

# # 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: SpacyNLP

model: "en_core_web_md"

- name: SpacyTokenizer

- name: RegexFeaturizer

- name: RegexEntityExtractor

- name: CountVectorsFeaturizer

analyzer: char_wb

min_ngram: 1

max_ngram: 4

- name: SpacyFeaturizer

pooling: mean

- name: SpacyEntityExtractor

dimensions: ["PERSON", "ADDRESS"]

- name: DIETClassifier

epochs: 100

# Configuration for Rasa Core.

# https://rasa.com/docs/rasa/core/policies/

policies:

# # No configuration for policies was provided. The following default policies were used to train your model.

# # If you'd like to customize them, uncomment and adjust the policies.

# # See https://rasa.com/docs/rasa/policies for more information.

- name: MemoizationPolic

- name: RulePolicy

- name: TEDPolicy

max_history: 5

epochs: 100

constrain_similarities: true
2

Can you try \d{4} instead?

Also please show us how you wrote the Regex rule in the NLU file if it doesn’t work.