Re: Newbie question about Python syntax
On 25/08/2019 02:39, Cameron Simpson wrote: On 24Aug2019 21:52, Paul St George wrote: [snip]> Aside from "map" being a poor name (it is also a builtin Python function), it seems that one creates one of these to control how some rendering process is done. The class reference page you originally cites then specifies the meaning of the various attributes you might set on one of these objects. Cheers, Cameron Simpson Thanks Cameron. As this list has a low noise to signal ratio I cannot thank you enough here. I could have stayed where I belong in Blender Artists, or similar, but those lists tend to just offer solutions and as Douglas Adams almost said knowledge without understanding is almost meaningless. Here I have gained enough understanding (perhaps not to yet make sufficient sense in what I say) but to transfer knowledge from solving one problem to possibly solving many. Thank you for your patience and tolerance, Dr Paul St George -- http://www.paulstgeorge.com http://www.devices-of-wonder.com -- https://mail.python.org/mailman/listinfo/python-list
Re: Using the same data for both validation and prediction in Keras
Amirreza Heidari writes: > I was reading a tutorial for time series prediction by Neural > Networks. I found that this code have used the same test data in the > following code for validation, and later also for prediction. > > history = model.fit(train_X, train_y, epochs=50, batch_size=72, > validation_data=(test_X, test_y), verbose=2, shuffle=False) > > Does it mean that the validation and test data are the same, or there is a > default percentage to split the data into validation and prediction? As per Prof. Andrew Ng, training, cross-validation and testing should have three different data-sets. If you have a small example set (for example 10,000 or may be 50,000) then you can split the example set into 60:20:20 ratio for train:validation:testing. But if you have a very large data-set (1 million, 10 million) then consider using 1% or may be lesser for validation and testing. -- Pankaj Jangid -- https://mail.python.org/mailman/listinfo/python-list
