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Dmitry Mustache's questions

Martin Hope
Dmitry Mustache
Asked: 2022-07-05 01:10:02 +0800 CST
  • 0

我有一个数据集，它有一个赢家和输家列。如何使数据集中部分的数据相互之间发生变化？我试过了。

from random import randint
switcher = data.copy()
for i in range(len(data)):
if randint(0, 100) % 2 == 1:
    data['name.win'][i], data['name.lose'][i], \
    data['country.win'][i], data['country.lose'][i], \
    data['rating.win'][i], data['rating.lose'][i], \
    data['civ.win.name'][i], data['civ.lose.name'][i] \
    = \
    switcher['name.lose'][i], switcher['name.win'][i], \
    switcher['country.lose'][i], switcher['country.win'][i], \
    switcher['rating.lose'][i], switcher['rating.win'][i], \
    switcher['civ.lose.name'][i], switcher['civ.win.name'][i]
else:
    pass

数据集。 链接到记事本。链接到数据集。在此处输入图像描述

python
Martin Hope
Dmitry Mustache
Asked: 2022-03-26 02:13:26 +0800 CST
  • 1

我正在 Django 上开发一个可以发布帖子的网站。如何将帖子的作者添加到数据库中？

'''views.py'''
def create_post(request):
    error = ''
    if request.method == 'POST':
        form = PostForm(request.POST)
        if form.is_valid():
            form.save()
            return redirect('crypto')
        else:
            error = 'Invalid Form!!!'

    form = PostForm()
    context = {
        'form': form,
        'error': error,
    }
    return render(request, 'crypto/create-post.html', context)

#models.py
class Post(models.Model, ):
    author = models.TextField()
    title = models.CharField('Название поста', max_length=125)
    text = models.TextField('Описание')
    created_date = models.DateTimeField(default=timezone.now)
python
Martin Hope
Dmitry Mustache
Asked: 2022-03-10 22:36:47 +0800 CST
  • 0

我有一个神经网络测试文件夹，我想将它分成三个网络样本，以检查神经网络在每个类上失败的频率。我如何将数据加载到训练模型中：

from tensorflow.python.keras.preprocessing.image import ImageDataGenerator
datagen = ImageDataGenerator(rescale=1./255, rotation_range=15, width_shift_range=0.1, height_shift_range=0.1, zoom_range=0.1, horizontal_flip=True, fill_mode='nearest', validation_split=0.1)
train_generator = datagen.flow_from_directory(train_path, target_size=(img_height, img_width), batch_size=batch_size, class_mode='categorical', shuffle=True, subset='training')
validation_generator = datagen.flow_from_directory(train_path, target_size=(img_height, img_width), batch_size=batch_size, class_mode='categorical', shuffle=True, subset='validation')

我如何测试模型：

path = '/content/drive/MyDrive/БД/распознавание 3 марок машин/данные/Автомобили/val/'
validation = datagen.flow_from_directory(train_path, target_size=(img_height, img_width), batch_size=batch_size, class_mode='categorical', shuffle=True, subset='validation')
answers = model.evaluate(validation, batch_size=batch_size)

但是如何分别检查每个班级的模型？

python