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Use h2ogpte to generate chatbot and guide a user on how to use H2O-3. As an example from @mn-mikke, a user brings a dataset to our chatbot and the following flow should appear:
User: I want to build a h2o-3 model with my dataset,
chatbot: Sure, we can build a GBM model with your dataset and you can use the following snippet:
import h2o......
....
model = .....
User will proceed and build the model using the code snippet and then ask the following question:
User: How can I get the model AUC (assume it is classification):
chatbot: please call model.auc() to get your model AUC value.....
Ideally I would like to see the following:
Should put an emphasis on advocating autoML;
Should advocate using more powerful toolbox first like GBM, DRF, Deeplearning and etc
I am going to start off and just setup the framework. Probably will need other team member's help to make this complete.
The text was updated successfully, but these errors were encountered:
Use h2ogpte to generate chatbot and guide a user on how to use H2O-3. As an example from @mn-mikke, a user brings a dataset to our chatbot and the following flow should appear:
User: I want to build a h2o-3 model with my dataset,
chatbot: Sure, we can build a GBM model with your dataset and you can use the following snippet:
import h2o......
....
model = .....
User will proceed and build the model using the code snippet and then ask the following question:
User: How can I get the model AUC (assume it is classification):
chatbot: please call model.auc() to get your model AUC value.....
Ideally I would like to see the following:
I am going to start off and just setup the framework. Probably will need other team member's help to make this complete.
The text was updated successfully, but these errors were encountered: