尝试通过网状包在R中使用Python Gekko时出错 [英] Error when trying to use Python Gekko in R via reticulate package
问题描述
Python模块可通过 reticulate
包在R中访问.不幸的是,它不适用于 GEKKO,公式不被认可.
Python modules are accessible in R via reticulate
package. Unfortunately, it is not working for GEKKO, the formulas are not being recognized as such.
当尝试传递像 m $ Equation(x1 + x2 == 7)
这样的方程式时,我收到这些错误消息: x1 + x2中的错误:非数值参数到二进制运算符
.
I am receiving these kind of error messages when trying to pass equations like in m$Equation(x1 + x2 == 7)
: Error in x1 + x2 : non-numeric argument to binary operator
.
library(reticulate)
gekko <- reticulate::import("gekko")
m <- gekko$GEKKO(remote=TRUE)
x1 = m$Var(value=1, lb=1, ub=5)
x2 = m$Var(value=5, lb=1, ub=5)
x3 = m$Var(value=5, lb=1, ub=5)
x4 = m$Var(value=1, lb=1, ub=5)
m$Equation(x1 + x2 == 7)
m$Equation(x1 * x2 * x3 * x4 >= 25)
m$Obj(x1 * x4 * (x1 + x2 + x3) + x3)
m$solve(disp=TRUE)
我真的很想在R中使用GEKKO,我们可以做一些调整以使之成为可能吗?
I would really like to use GEKKO in R, is there some tweak we can do to make that possible?
从Gekko存储库中的 GitHub问题中重新发布问题,以查看是否其他帮助可以在这里找到.如果有帮助,也可以使用 MATLAB中的Python Gekko接口.>
Reposting the question from a GitHub issue in Gekko repository to see if additional help can be found here. A Python Gekko interface in MATLAB is also possible, if this helps.
% start Matlab from Anaconda prompt
close all; clear;
% Solve linear equations
% Initialize Model
m = py.gekko.GEKKO();
% Initialize Variables
x = m.Var(); % define new variable
y = m.Var(); % default=0
% Define Equations
m.Equation(3*x+2*y==1);
m.Equation(x+2*y==0);
% Solve
m.solve();
% Extract values from Python lists using curly brackets
disp(['x: ' num2str(x.VALUE{1})]);
disp(['y: ' num2str(y.VALUE{1})]);
推荐答案
一种方法是使用 py_run_string() 命令在 R 中运行 Python 代码.我使用多个字符串分解了代码以显示步骤.
One way would be to run the Python code in R using the py_run_string() command. I have broken up the code using multiple strings to show the steps.
Sys.setenv(RETICULATE_PYTHON = "set the path for python")
library(reticulate)
#Load the package
str1 = "
from gekko import GEKKO
m = GEKKO()"
py_run_string(str1)
#Assign values with lower and upper bound along with equations
str2 = "
x1 = m.Var(value=1, lb=1, ub=5)
x2 = m.Var(value=5, lb=1, ub=5)
x3 = m.Var(value=5, lb=1, ub=5)
x4 = m.Var(value=1, lb=1, ub=5)
m.Equation(x1 + x2 == 7)
m.Equation(x1 * x2 * x3 * x4 >= 25)
m.Obj(x1 * x4 * (x1 + x2 + x3) + x3)
m.solve(disp=True)"
py_run_string(str2)
#Print the results
str3="
print('')
print('Results')
print('x1: ' + str(x1.value))
print('x2: ' + str(x2.value))
print('x3: ' + str(x3.value))
print('x4: ' + str(x4.value))
"
py_run_string(str3)
#To access an object
py$x1$VALUE
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