From the course: Exploring Data Science with .NET using Polyglot Notebooks & ML.NET

Unlock this course with a free trial

Join today to access over 24,400 courses taught by industry experts.

Saving and loading models

Saving and loading models

From the course: Exploring Data Science with .NET using Polyglot Notebooks & ML.NET

Start my 1-month free trial Buy for my team

Saving and loading models

“

- [Instructor] We've now spent the last few videos training regression and classification models, and evaluating their metrics. Typically, you're going to spend some time iterating on your model's performance before you settle on a final model that you might want to ship to production. This might entail tweaking the columns that you provide your models. It might entail changing the percentage of data that you give to the training dataset versus the testing dataset. It might involve adding new columns through feature engineering. You can even do simple little things, like giving AutoML more training time in order to find the best model trainer and hyper parameters for that model trainer, to give you the best performing model. But let's say that we have the best models we're going to get for both our classification experiment and our regression experiment. The next step for us is to actually save that to a zip file on disc so we can load it up later on and generate new predictions from…

Contents