python - 如何将 Tensorflow 的结果记录到 CSV 文件

Question

我有一个在 tensorflow 上运行的 CNN 模型，希望将准确度、损失、f1、精度和召回值保存为 ，我还有绘图和混淆矩阵(您可以将这些图保存到 csv 吗？)我想节省。 如何将每个模型运行时的数据保存到 csv 或文本文件？

Answer 1

尝试使用tf.keras.callbacks.CSVLogger :

import tensorflow as tf
import pandas as pd

model = tf.keras.Sequential()
model.add(tf.keras.layers.Dense(1, input_dim=40))
model.add(tf.keras.layers.Dense(1, 'sigmoid'))

adam_opt = tf.keras.optimizers.Adam(0.1)
model.compile(loss='bce', optimizer=adam_opt, metrics=[tf.keras.metrics.BinaryAccuracy(name="binary_accuracy", dtype=None), 
                                                       tf.keras.metrics.Recall()])

train_x = tf.random.normal((50, 40))
train_y = tf.random.uniform((50, 1), maxval=2, dtype=tf.int32)
val_x = tf.random.normal((50, 40))
val_y = tf.random.uniform((50, 1), maxval=2, dtype=tf.int32)

csv_logger = tf.keras.callbacks.CSVLogger('metrics.csv')
history = model.fit(train_x, train_y, epochs=5, validation_data=(val_x, val_y), callbacks=[csv_logger])

df = pd.read_csv('/content/metrics.csv')
print(df.to_markdown())

Epoch 1/5
2/2 [==============================] - 2s 563ms/step - loss: 0.7918 - binary_accuracy: 0.4400 - recall: 0.4583 - val_loss: 0.7283 - val_binary_accuracy: 0.4200 - val_recall: 0.4815
Epoch 2/5
2/2 [==============================] - 0s 62ms/step - loss: 0.6793 - binary_accuracy: 0.5400 - recall: 0.5417 - val_loss: 0.7093 - val_binary_accuracy: 0.4200 - val_recall: 0.2593
Epoch 3/5
2/2 [==============================] - 0s 92ms/step - loss: 0.6647 - binary_accuracy: 0.6200 - recall: 0.3750 - val_loss: 0.7138 - val_binary_accuracy: 0.4400 - val_recall: 0.2222
Epoch 4/5
2/2 [==============================] - 0s 68ms/step - loss: 0.6369 - binary_accuracy: 0.6200 - recall: 0.3750 - val_loss: 0.7340 - val_binary_accuracy: 0.4400 - val_recall: 0.3704
Epoch 5/5
2/2 [==============================] - 0s 69ms/step - loss: 0.5869 - binary_accuracy: 0.6800 - recall: 0.5417 - val_loss: 0.7975 - val_binary_accuracy: 0.4800 - val_recall: 0.4444

<表类=“s-表”> <标题> 纪元 binary_accuracy 损失 记忆 val_binary_accuracy val_loss val_recall <正文> 0 0 0.44 0.791773 0.458333 0.42 0.728296 0.481481 1 1 0.54 0.67928 0.541667 0.42 0.709347 0.259259 2 2 0.62 0.664661 0.375 0.44 0.713829 0.222222 3 3 0.62 0.636919 0.375 0.44 0.734033 0.37037 4 4 0.68 0.586907 0.541667 0.48 0.797542 0.444444

训练后，您可以轻松使用 csv 文件进行绘图。