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问题 I am following the instructions of a pygame project on youtube, this is the video, I am on the project called "Snake", and in the description of the video, you can find what time it starts and the actual code. I am about 10 minutes into the video. I will show you the code that I have written so far: # Snake project on python import math import random import pygame import tkinter as tk from tkinter import messagebox class cube(object): rows = 0 w = 0 def __init__(self, start,dirnx=1, dirny=0,

问题 I am following the instructions of a pygame project on youtube, this is the video, I am on the project called "Snake", and in the description of the video, you can find what time it starts and the actual code. I am about 10 minutes into the video. I will show you the code that I have written so far: # Snake project on python import math import random import pygame import tkinter as tk from tkinter import messagebox class cube(object): rows = 0 w = 0 def __init__(self, start,dirnx=1, dirny=0,

问题 #Import Library from sklearn import svm import numpy as np X=np.array([ [[25,25,25],[0,0,0],[0,0,0]], [[25,0,0],[25,0,0],[25,0,0]], [[75,75,75],[75,75,75],[75,75,75]] ]) y=np.array([-1,1,1] ) C=10 model = svm.SVC(kernel='rbf', C=10, gamma=0.6) model.fit(X, y) model.score(X, y) when I tried to run this code , I got this error ValueError: Found array with dim 3. Estimator expected <= 2. I would like that you help me solve this error. I want to train the svm to classify image pixels into two

问题 #Import Library from sklearn import svm import numpy as np X=np.array([ [[25,25,25],[0,0,0],[0,0,0]], [[25,0,0],[25,0,0],[25,0,0]], [[75,75,75],[75,75,75],[75,75,75]] ]) y=np.array([-1,1,1] ) C=10 model = svm.SVC(kernel='rbf', C=10, gamma=0.6) model.fit(X, y) model.score(X, y) when I tried to run this code , I got this error ValueError: Found array with dim 3. Estimator expected <= 2. I would like that you help me solve this error. I want to train the svm to classify image pixels into two

问题 #Import Library from sklearn import svm import numpy as np X=np.array([ [[25,25,25],[0,0,0],[0,0,0]], [[25,0,0],[25,0,0],[25,0,0]], [[75,75,75],[75,75,75],[75,75,75]] ]) y=np.array([-1,1,1] ) C=10 model = svm.SVC(kernel='rbf', C=10, gamma=0.6) model.fit(X, y) model.score(X, y) when I tried to run this code , I got this error ValueError: Found array with dim 3. Estimator expected <= 2. I would like that you help me solve this error. I want to train the svm to classify image pixels into two

问题 #Import Library from sklearn import svm import numpy as np X=np.array([ [[25,25,25],[0,0,0],[0,0,0]], [[25,0,0],[25,0,0],[25,0,0]], [[75,75,75],[75,75,75],[75,75,75]] ]) y=np.array([-1,1,1] ) C=10 model = svm.SVC(kernel='rbf', C=10, gamma=0.6) model.fit(X, y) model.score(X, y) when I tried to run this code , I got this error ValueError: Found array with dim 3. Estimator expected <= 2. I would like that you help me solve this error. I want to train the svm to classify image pixels into two

问题 #Import Library from sklearn import svm import numpy as np X=np.array([ [[25,25,25],[0,0,0],[0,0,0]], [[25,0,0],[25,0,0],[25,0,0]], [[75,75,75],[75,75,75],[75,75,75]] ]) y=np.array([-1,1,1] ) C=10 model = svm.SVC(kernel='rbf', C=10, gamma=0.6) model.fit(X, y) model.score(X, y) when I tried to run this code , I got this error ValueError: Found array with dim 3. Estimator expected <= 2. I would like that you help me solve this error. I want to train the svm to classify image pixels into two

问题 My goal is to develop a DQN-agent that will choose its action based on a certain strategy/policy. I previously worked with OpenAi gym-environments, but now I wanted to create my own RL environment. At this stage, the agent shall either choose a random action or choose his action based on the predictions given by a deep neural network (defined in the class DQN ). So far, I have setup both the neural net model and my environment . The NN shall receive states as its input. These states represent

问题 I have a list of strings (CD_cent) like this: 2.374 2.559 1.204 and I want to multiply these numbers with a float number. For this I try to convert the list of strings to a list of floats for example with: CD_cent2=[float(x) for x in CD_cent] But I always get the error: ValueError: could not convert string to float: '.' . I guess this means, that it can't convert the dot to a float (?!) But how could I fix this? Why doesn't it recognize the dot? 回答1: You need to split each string as the

问题 I am starting with NumPy. Given two np.array s, queu and new_path : queu = [ [[0 0] [0 1]] ] new_path = [ [[0 0] [1 0] [2 0]] ] My goal is to get the following queu : queu = [ [[0 0] [0 1]] [[0 0] [1 0] [2 0]] ] I've tried: np.append(queu, new_path, 0) and np.vstack((queu, new_path)) But both are raising all the input array dimensions except for the concatenation axis must match exactly I didn't get the NumPy philosophy. What am I doing wrong? 回答1: In [741]: queu = np.array([[[0,0],[0,1]]])