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我自己是做航空发动机寿命预测的,两个任务:寿命预测(回归),状态评估(分类);
我的训练集特征就是60秒内的健康指标的变化趋势,我不太明白如何将这个60*1的np.array转化为你的grad norm文件里面所写的张量。
即这句话我不太理解应该如何更改:train_model_input = {name: tf.keras.backend.constant(train_data[name]) for name in feature_names}
是否可以提供一下邮箱地址,想跟进一步询问一下大大
The text was updated successfully, but these errors were encountered:
我自己是做航空发动机寿命预测的,两个任务:寿命预测(回归),状态评估(分类);
我的训练集特征就是60秒内的健康指标的变化趋势,我不太明白如何将这个60*1的np.array转化为你的grad norm文件里面所写的张量。
即这句话我不太理解应该如何更改:train_model_input = {name: tf.keras.backend.constant(train_data[name]) for name in feature_names}
是否可以提供一下邮箱地址,想跟进一步询问一下大大
The text was updated successfully, but these errors were encountered: