我试图运行一个项目,但无法运行Java文件Utility.java。无法在以下语句中导入包。
(-1, 1)
由于我在cp中应该包含哪个路径来执行jar文件感到困惑,我尝试使用2条路径命令
# Needs: python -m pip install numpy matplotlib
import math, sys
import numpy as np, matplotlib.pyplot as plt, matplotlib.animation as animation
from matplotlib.animation import FuncAnimation
x_range = (0., math.pi, 0.1) # (xmin, xmax, xstep)
y_range = (-0.2, 1.2) # (ymin, ymax)
num_iterations = 50
def f(x):
return np.sin(x)
def derr(iteration):
return 0.7 ** (iteration + 15)
def MSE(a, b):
return (np.abs(np.array(a) - np.array(b)) ** 2).mean()
def quadraticRegression(*, x, data, dErr):
x, data = np.array(x), np.array(data)
assert x.size == data.size, (x.size, data.size)
a = 1 #Starting values
b = 1
c = 1
a_momentum = 0.1 #Momentum to counter steady state error
b_momentum = 0.1
c_momentum = 0.1
estimate = a*x**2 + b*x + c #Estimate curve
error = MSE(data, estimate) #Get errors 'n stuff
errorOld = 0.
lr = 10. ** -4 #learning rate
while abs(error - errorOld) > dErr:
#Fit a (dE/da)
deda = np.sum(2*x**2 * (a*x**2 + b*x + c - data))/len(data)
correction = deda*lr
a_momentum = (a_momentum)*0.99 + correction*0.1 #0.99 is to slow down momentum when correction speed changes
a = a - correction - a_momentum
#fit b (dE/db)
dedb = np.sum(2*x*(a*x**2 + b*x + c - data))/len(data)
correction = dedb*lr
b_momentum = (b_momentum)*0.99 + correction*0.1
b = b - correction - b_momentum
#fit c (dE/dc)
dedc = np.sum(2*(a*x**2 + b*x + c - data))/len(data)
correction = dedc*lr
c_momentum = (c_momentum)*0.99 + correction*0.1
c = c - correction - c_momentum
#Update model and find errors
estimate = a*x**2 +b*x + c
errorOld = error
#print(error)
error = MSE(data, estimate)
return a, b, c, error
fig, ax = plt.subplots()
fig.set_tight_layout(True)
x = np.arange(x_range[0], x_range[1], x_range[2])
#ax.scatter(x, x + np.random.normal(0, 3.0, len(x)))
line0, line1 = None, None
do_save = len(sys.argv) > 1 and sys.argv[1] == 'save'
def g(x, derr):
a, b, c, error = quadraticRegression(x = x, data = f(x), dErr = derr)
return a * x ** 2 + b * x + c
def dummy(x):
return np.ones_like(x, dtype = np.float64) * 100.
def update(i):
global line0, line1
de = derr(i)
if line0 is None:
assert line1 is None
line0, = ax.plot(x, f(x), 'r-', linewidth=2)
line1, = ax.plot(x, g(x, de), 'r-', linewidth=2, color = 'blue')
ax.set_ylim(y_range[0], y_range[1])
if do_save:
sys.stdout.write(str(i) + ' ')
sys.stdout.flush()
label = 'iter {0} derr {1}'.format(i, round(de, math.ceil(-math.log(de) / math.log(10)) + 2))
line1.set_ydata(g(x, de))
ax.set_xlabel(label)
return line1, ax
if __name__ == '__main__':
anim = FuncAnimation(fig, update, frames = np.arange(0, num_iterations), interval = 200)
if do_save:
anim.save('line.gif', dpi = 200, writer = 'imagemagick')
else:
plt.show()
Here is the screenshot of the folders depicting location of files
Screenshot of commons-math-1.2 folder
根据我的说法,文件位置错误。 附言我是Java的初学者。操作系统是ubuntu
答案 0 :(得分:0)
按照以下步骤编译和执行独立的Java程序。
我想您将在target-directory = /home/vidhi/Downloads/explorerChain/explorerchain-master
处执行代码。
将jar文件commons-math-1.2.jar
复制到位置target-directory
。
Command : # cp /source-directory/commons-math-1.2.jar target-directory/
下一步转到目标目录。
Command : # cd <target-directory>
下一步编译您的Java文件。 :
Command : # javac -cp commons-math-1.2.jar . Utility.java
接下来运行已编译的java文件:
Command : # java Utility