Analytics tool that applies Natural Language Processing (NLP) and Machine Learning (ML), such as concept extraction, idea classification, and sentiment analysis to make sense of crowdsourced civic input.
This is needed in the API because we are getting this response in the client when calling the API:
"Response to preflight request doesn’t pass access control check: No ‘Access-Control-Allow-Origin’ header is present on the requested resource"
Add state to dataset (DRAFT, COMPLETED).
When a dataset is created, it has a DRAFT state.
When we add all his related attributes and when we create the project, the dataset state is changed to COMPLETED
Design and implement a two step logic in which first we simply load a preview (up to 5 rows) and only after deciding the columns types we upload the files together with the model
Add a temporal function to call classification endpoint without having a config page. In the config page the user should select the column of the dataset that should be used as a label for the classification analysis.
With this temporal function a column with name "label" in the dataset wil be used by default as the label column by the classification analysis.