I'm following this tutorial to try Machine Learning AutoML Forecasting.
In the several parameters we can submit to the AutoML experiment, we have these ones:
I built a NLP sentence classifier, which uses vectors from word embedding as features.
Training dataset is big (100k sentences).
Every sentence has 930 features.
I found the best model using an auto ...
I am doing research for Google NLP AutoML, What methodologies they have used, techniques, models, feature selection, hyper parameter optimization, etc.
I could not find any paper on how google built ...