.log()
will add a new value at the end of the series. You can use Neptune with any machine learning framework, but if you are using a framework that supports logging (most of them do) you don't need to write yourself the logging code at all. Just add the Neptune integration and it will track all the training metrics.evaluation
namespace..upload()
function. In the case of a plot object, it gets converted to an image file and uploaded, but you can also upload images from the local disc..upload()
method. If your model is saved as multiple files you can upload a whole folder as a FileSet using .upload_files()
.