1. 首先，在分类模型Python代码中添加以下代码，在每一个epoch之后，将分类准确率度量指标传递给AWS CloudWatch：

import boto3
import time

# create CloudWatch client
cloudwatch = boto3.client('cloudwatch')

# send classification accuracy metric to CloudWatch
def send_metric_to_cloudwatch(metric_name, value):
    try:
        response = cloudwatch.put_metric_data(
            Namespace='CUSTOM_CLASSIFICATION_METRICS',
            MetricData=[
                {
                    'MetricName': metric_name,
                    'Dimensions': [
                        {
                            'Name': 'UNIQUE_METRIC_ID', 
                            'Value': 'CLASSIFICATION_ACCURACY'
                        },
                    ],
                    'Value': value,
                    'Unit': 'Percent'
                },
            ]
        )
        print(f"Successfully sent {metric_name} metric to CloudWatch.")
    except Exception as e:
        print(f"Failed to send {metric_name} metric to CloudWatch. Exception encountered: {e}")

# example classification accuracy metric calculation
def calculate_classification_accuracy(y_true, y_pred):
    correct_classifications = 0
    total_classifications = len(y_true)
    for i, true_class in enumerate(y_true):
        predicted_class = y_pred[i]
        if predicted_class == true_class:
            correct_classifications += 1
    return (correct_classifications / total_classifications) * 100

# an example epoch loop
for epoch in range(num_epochs):
    # training code here
    train_accuracy = calculate_classification_accuracy(y_true_train, y_pred_train)

    # validation code here
    val_accuracy = calculate_classification_accuracy(y_true_val, y_pred_val)

    # send metrics to CloudWatch
    send_metric_to_cloudwatch('Training Accuracy', train_accuracy)
    send_metric_to_cloudwatch('Validation Accuracy', val_accuracy)

    # sleep for 10 seconds to avoid API limit exceeding
    time.sleep(10)

2. 然后，在AWS CloudWatch控制台中创建自定义指标命名空间和指标名称，以显示度量值和其他指标：

• 在“指标”下打开CloudWatch控制台。

• 单击右上角的“创建指标”。

• 选择“自定义命名空间”。

• 输入唯一的与指标相关联的命名空间名称，然后选择“创建命名空间”。

• 然后，选择创建指标。

• 输入有意义的度量名称，并选择云度量单位。

• 在“维度”下，单击“添加维度”。

• 输入UNIQUE_METRIC_ID和