2.对了,那个后面部分需要缩进,哈哈,python代码简洁,但缩进问题就很抽象,从 model = torch.load('model.pth') 开始直接缩进!!! import torch import torchvision.transforms as transforms from torch.utils.data import DataLoader from sklearn.metrics import confusion_matrix import pandas as pd import numpy as...
1, 2, 3, 4], [ 5, 6, 7, 8, 9], [10, 11, 12, 13, 14]]) >>> D['arr_2'] Traceback (most recent call last): File "<input>", line 1, in <module> File "D:\Python3\lib\site-packages\
47img =PIL.Image.open(s)48img =np.array(img)49img =img.flatten()5051input_ids.append(key)52input_data.append(img)5354y_train =np.asarray(input_data)55y_train = y_train.reshape(-1, 28, 28, 1)5657#keras mnist network58model =Sequential()59model.add(Conv2D(32, kernel_size=(3, ...
As explained above, the y_actual input should be the vector of actual class labels for every example in your dataset (i.e., the “ground truth” labels). This should be a Numpy array or array-like object with a shape equal to (n_samples,). y_pred(required) The y_predicted input s...
U for unsymmetric, H for% Hermitian, Z for skew symmetric, R for rectangular.% Third character is A for assembled and E for unassembled% finite element matrices.%% Input, string RHSTYP(3), the right hand side type.% First character is F for full storage or M for same as matrix.% Se...
<ipython-input-363-e5c47716d89d> in <module> 8 9 # Compute DF3 ---> 10 ltv_output = df1['price'].mul(df2['ratio']).sum(axis=1).reset_index(name="ltv_value") ~/opt/anaconda3/lib/python3.8/site-packages/pandas/core/ops/__init__.py in f(self, other, axis, level, fill_...
VECTORTreat the tensor as a collection of vectors. op1: How to treat the second input tensor, has the same options asop0. Inputs¶ A: tensor of typeT B: tensor of typeT Outputs¶ C: tensor of typeT Data Types¶ T:float16,float32,bfloat16,float8 ...
# importing numpy module with an alias nameimportnumpyasnp# creating a 3-Dimensional(3x3) numpy matrixinputArray_3d=np.array([[4,5,1],[3,4,12],[10,2,1]])# printing the input 3D matrixprint("The input numpy 3D matrix:")print(inputArray_3d)# calculating the inverse of an input 3D...
我试图使用Python3.6.0构造一个矩阵,在这个程序中,我在运行它时遇到了一个类型错误,它声明'type‘对象是不可订阅的。#Matrixy=int(input("Enter number of columns ofmatrix: ")) for j in ran 浏览4提问于2017-02-19得票数 0 回答已采纳 1回答 映射: TypeError:'dict_keys‘对象不可订阅 、 看起来有...
If the user sets the value of by_class boolean input True, the best confusion matrix is the one with the maximum class-based score. Otherwise, if a confusion matrix obtains the maximum of both overall and class-based scores, that will be reported as the best confusion matrix, but in any...