hi team in the docker set up i want to run the febrl like example but on my new data set but im still figuring it out how to create custom own models for our new data set
https://docs.zingg.ai/zingg/stepbystep/configuration The above link has the details you need - you can make changes in the config.json file according to your requirements and play around with fields such as modelId etc. as per your data set Another option is to use the Python API - https://docs.zingg.ai/zingg/working-with-python/index#zingg-entity-resolution-python-package
Sania G. thanks for your reply actually i have a client demo on Zingg So what I understood so far is that i need to prepare the config.json file for my client data csv and run 1. findTrainingData 2. label and then we will get the new model in our zingg models folder ? and then that model id do we need to add in the config.json ?
How to create a new model inside zingg models directory for our new data set ?
before running, change the modelId and then train and label data you can create a directory anywhere for the new model - it doesn't necessary need to be in the zingg models directory
i dont think so we can use modelId :100 for our new data set these are for example data sets ..Right ?
assign it a new value - apart from the used ones
yes you will have to train you own model
can you please provide 2 to 3 liner steps how to create new model for my new data set ?