python - 如何绘制图表以查看准确性

Question

我正在使用tflite_model_maker.

from tflite_model_maker import model_spec
from tflite_model_maker import image_classifier
from tflite_model_maker.config import ExportFormat
from tflite_model_maker.config import QuantizationConfig
from tflite_model_maker.image_classifier import DataLoader

我想训练模型并想绘制图表以查看模型的性能，但这个没有history，

model = image_classifier.create(train_data,
                                model_spec = model_spec.get('efficientnet_lite4'),
                                validation_data=validation_data,
                                batch_size = 32,
                                epochs=200,
                                train_whole_model = True,
                                dropout_rate=0.25,
                                learning_rate = 0.01,
                                momentum = 0.9,
                                shuffle=True,
                                ) 

我应该怎么办？

标签： pythontensorflowclassification

Answer 1

它与您习惯的有所不同，但您可以访问所需的指标，如下所示：

model.history.history['loss']
model.history.history['accuracy']
model.history.history['val_loss']
model.history.history['val_accuracy']