On 19/03/2020 14:19, Farzana Anowar wrote:
> Another option is to us deep learning and store the weights for the
first model and initialize the second model with that weight and keep
doing it for the rest of the models.
This can also be done in scikit-learn with models that support
warm_start
On 2020-03-19 00:11, Praneet Singh wrote:
I am training a SGD Classifier with some training dataset which is
temporary and will be lost after sometime. So I am planning to save
the model in pickle file and reuse it and train again with some
another dataset that arrives. But It forgets the previou
I am training a SGD Classifier with some training dataset which is
temporary and will be lost after sometime. So I am planning to save the
model in pickle file and reuse it and train again with some another dataset
that arrives. But It forgets the previously learned data.
As far as I researched i
