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wiki:software:beuthbot:rasa:training [22.07.2020 19:30]
Lukas Danckwerth 		wiki:software:beuthbot:rasa:training [22.07.2020 19:39] (aktuell)
Lukas Danckwerth
Zeile 31: Zeile 31:
 package Rasa { package Rasa {
  
-folder training-input as TI { +folder training/app/input as TI { 
-artifact FILE.chatito+artifact FILE1.chatito 
 +artifact FILE2.chatito
 } }
  
 card "docker-compose -f docker-compose.generate-data.yml up" as C1 card "docker-compose -f docker-compose.generate-data.yml up" as C1
  
-folder training-data as TD { +folder training/app/data as TD { 
-artifact FILE.json+artifact FILE1.json 
 +artifact FILE2.json
 } }
  
 card "docker-compose -f docker-compose.train-model.yml up" as C2 card "docker-compose -f docker-compose.train-model.yml up" as C2
  
-folder models as M {+folder training/app/model as M {
 artifact "nlu-YYYYMMDD-HHMMSS.tar.gz" artifact "nlu-YYYYMMDD-HHMMSS.tar.gz"
 } }
Zeile 58: Zeile 60:
 === 1 -  Provide new input training data === === 1 -  Provide new input training data ===
  
-Modify or add  `*.chatito` files in the `training/app/input/` directory to provide a new functionality. For more information about `Chatito` have a look a the [Chatito](#Chatito) section of this document.+Modify or add  `*.chatito` files in the `training/app/input/` directory to provide a new functionality. For more information about `Chatito` have a look a the [[https://github.com/rodrigopivi/Chatito|Chatito]] section of this document.
  
 == 1.1 - Generate training datasets == == 1.1 - Generate training datasets ==
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 </code> </code>
  
-> For a fast convenient way to [generate training datasets](#1.1---Generate-training-datasets) and [create a model](#2---Create-model-with-Rasa) simply use the `docker-compose.yml` file in the `training` directory. +> For a fast convenient way to [[#1.1---Generate-training-datasets|generate training datasets]] and [[#2---Create-model-with-Rasa|create a model]] simply use the `docker-compose.yml` file in the `training` directory. 
-> <code> +<code> 
-> # runs both the dataset generation and train model container +# runs both the dataset generation and train model container 
-> docker-compose -f docker-compose.yml up +docker-compose -f docker-compose.yml up 
->  +  
-> # .. or simply +# .. or simply 
-> docker-compose up +docker-compose up 
-> </code>+</code>
  
 === 3 - Check generated file === === 3 - Check generated file ===
wiki/software/beuthbot/rasa/training.1595439032.txt.gz · Zuletzt geändert: 22.07.2020 19:30 von Lukas Danckwerth

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