我使用数据帧中的流来处理具有 14 个可能标签的多标签分类问题，所有列名称都以字符串格式放置在列表中，例如：
columns = ["No Finding", "Enlarged Cardiomediastinum", "Cardiomegaly", "Lung Opacity", "Lung Lesion","Edema", "Consolidation", "Pneumonia", "Atelectasis", "Pneumothorax", "Pleural Effusion", "Pleural Other", "Fracture", "Support Devices"]
然后将列表名称（列）输入 y_col 例如：
train_generator=datagen.flow_from_dataframe(
dataframe=df[:178731],
directory='/home/admin1/Downloads/',
x_col='Path',
y_col=columns,
batch_size=batch_size,
seed=42,
shuffle=True,
target_size=(224, 224))
我收到此错误：
TypeError: If class_mode="categorical", y_col="['No Finding', 'Enlarged Cardiomediastinum', 'Cardiomegaly', 'Lung Opacity', 'Lung Lesion', 'Edema', 'Consolidation', 'Pneumonia', 'Atelectasis', 'Pneumothorax', 'Pleural Effusion', 'Pleural Other', 'Fracture', 'Support Devices']" column values must be type string, list or tuple.
我已经尝试过之前提出的解决方案：
df['No Finding'] = df['No Finding'].astype(str)
df['Enlarged Cardiomediastinum'] …keras ×1