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André Anjos authoredAndré Anjos authored
C++ API
The C++ API of bob.learn.mlp
allows users to leverage from automatic
converters for classes in :py:class:`bob.learn.mlp`. To use the C API,
clients should first, include the header file <bob.learn.mlp.h>
on
their compilation units and then, make sure to call once
import_bob_learn_mlp()
at their module instantiation, as explained at
the Python manual.
Here is a dummy C example showing how to include the header and where to call the import function:
#include <bob.learn.mlp/api.h>
PyMODINIT_FUNC initclient(void) {
PyObject* m Py_InitModule("client", ClientMethods);
if (!m) return 0;
if (import_bob_blitz() < 0) return 0;
if (import_bob_io() < 0) return 0;
if (import_bob_learn_activation() < 0) return 0;
if (import_bob_learn_mlp() < 0) return 0;
return m;
}
Note
The include directory can be discovered using :py:func:`bob.learn.mlp.get_include`.
Machine
Cost
Note
These are the cost object specializations you can use from Python:
- :py:class:`bob.learn.mlp.SquareError`
- :py:class:`bob.learn.mlp.CrossEntropyLoss`
For each of those types, object types in C exist.
Data Shuffler
Trainers
Pure C/C++ API
As explained above, each PyObject
produced by this library contains a
pointer to a pure C++ implementation of a similar object. The C++ of such
objects is described in this section.