mirror of
https://github.com/davisking/dlib.git
synced 2024-11-01 10:14:53 +08:00
48 lines
2.0 KiB
Python
Executable File
48 lines
2.0 KiB
Python
Executable File
#!/usr/bin/python
|
|
# The contents of this file are in the public domain. See LICENSE_FOR_EXAMPLE_PROGRAMS.txt
|
|
#
|
|
#
|
|
# This is an example illustrating the use of the global optimization routine,
|
|
# find_min_global(), from the dlib C++ Library. This is a tool for finding the
|
|
# inputs to a function that result in the function giving its minimal output.
|
|
# This is a very useful tool for hyper parameter search when applying machine
|
|
# learning methods. There are also many other applications for this kind of
|
|
# general derivative free optimization. However, in this example program, we
|
|
# simply show how to call the method. For that, we use a common global
|
|
# optimization test function, as you can see below.
|
|
#
|
|
#
|
|
# COMPILING/INSTALLING THE DLIB PYTHON INTERFACE
|
|
# You can install dlib using the command:
|
|
# pip install dlib
|
|
#
|
|
# Alternatively, if you want to compile dlib yourself then go into the dlib
|
|
# root folder and run:
|
|
# python setup.py install
|
|
#
|
|
# Compiling dlib should work on any operating system so long as you have
|
|
# CMake installed. On Ubuntu, this can be done easily by running the
|
|
# command:
|
|
# sudo apt-get install cmake
|
|
#
|
|
|
|
import dlib
|
|
from math import sin,cos,pi,exp,sqrt
|
|
|
|
# This is a standard test function for these kinds of optimization problems.
|
|
# It has a bunch of local minima, with the global minimum resulting in
|
|
# holder_table()==-19.2085025679.
|
|
def holder_table(x0,x1):
|
|
return -abs(sin(x0)*cos(x1)*exp(abs(1-sqrt(x0*x0+x1*x1)/pi)))
|
|
|
|
# Find the optimal inputs to holder_table(). The print statements that follow
|
|
# show that find_min_global() finds the optimal settings to high precision.
|
|
x,y = dlib.find_min_global(holder_table,
|
|
[-10,-10], # Lower bound constraints on x0 and x1 respectively
|
|
[10,10], # Upper bound constraints on x0 and x1 respectively
|
|
80) # The number of times find_min_global() will call holder_table()
|
|
|
|
print("optimal inputs: {}".format(x));
|
|
print("optimal output: {}".format(y));
|
|
|