我正在尝试对 Keras 模型进行 K 折交叉验证(使用 ImageDataGenerator 和 flow_from_directory 用于训练和验证数据),我想知道“ImageDataGenerator”中的参数“validation_split”是否有效
test_datagen = ImageDataGenerator(
rescale=1. / 255,
rotation_range = 180,
width_shift_range = 0.2,
height_shift_range = 0.2,
brightness_range = (0.8, 1.2),
shear_range = 0.2,
zoom_range = 0.2,
horizontal_flip = True,
vertical_flip = True,
validation_split = 0.1
)
train_datagen = ImageDataGenerator(
rotation_range = 180,
width_shift_range = 0.2,
height_shift_range = 0.2,
brightness_range = (0.8, 1.2),
rescale = 1. / 255,
shear_range = 0.2,
zoom_range = 0.2,
horizontal_flip = True,
vertical_flip = True,
validation_split = 0.1
)
train_generator = train_datagen.flow_from_directory(
train_data_dir,
target_size = (img_width, img_height),
batch_size = batch_size,
class_mode ='binary',
seed = 42
)
validation_generator = test_datagen.flow_from_directory(
validation_data_dir,
target_size = (img_width, img_height),
batch_size = batch_size,
class_mode = 'binary',
seed = 42
)
history = model.fit_generator(
train_generator,
steps_per_epoch = nb_train_samples // batch_size,
epochs = epochs,
validation_data = validation_generator,
validation_steps = nb_validation_samples // batch_size)
“validation_split = 0.1”是否意味着我已经对数据集进行了 10 倍交叉验证?