在R drake包中触发报告生成通知

Question

我已经建立了一个Drake管道，该管道在管道的末尾生成一个报告。我想在每次创建新报告时触发一个松弛通知。对于计划的报告部分，我使用以下内容：

from tensorflow.keras.datasets import mnist

(x_train, y_train), (x_test, y_test) = mnist.load_data()

x_train = x_train.reshape(x_train.shape[0], 28*28)
x_test = x_test.reshape(x_test.shape[0], 28*28)

from tensorflow.keras.utils import to_categorical

y_train = to_categorical(y_train)
y_test = to_categorical(y_test)

import tensorflow as tf
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense, Activation, Dropout
from tensorflow.keras.optimizers import SGD

def custom_activation(x):
    cond = tf.greater(x, tf.constant(0.0))
    return tf.where(cond,
                    x,
                    tf.subtract(tf.exp(x), tf.constant(1.0)))

model = Sequential([
    Dense(128, input_shape=x_train.shape[1:]),
    Activation(custom_activation),
    Dense(128),
    Activation(custom_activation),
    Dense(128),
    Activation(custom_activation),
    Dense(128),
    Activation(custom_activation),
    Dense(128),
    Activation(custom_activation),
    Dense(128),
    Activation(custom_activation),
    Dense(128),
    Activation(custom_activation),
    Dense(128),
    Activation(custom_activation),
    Dense(10),
    Activation('sigmoid')
])

model.compile(SGD(lr=0.01), loss='categorical_crossentropy', metrics=['accuracy'])

model.fit(x=x_train, y=y_train,
          validation_data=[x_test, y_test],
          batch_size=64, epochs=5)

通知目标上的触发器可以工作，但是在我的依赖图中，通知目标只是自身而已：

是否有更好的方法使通知依赖于正在生成的新报告？谢谢！

Answer 1

这很聪明，我喜欢！触发器中的file_in()语句怎么办？也许trigger = trigger(change = file.info(file_in("report.html"))$ctime如果触发得太频繁，也许在源knitr_in()上有一条trigger = trigger(change = file.info(knitr_in("report.html"))$ctime语句。我个人更喜欢这些选项中的第二个。

对不起，我很晚才进入这个话题！