'Batch prediction Input”改写为中文可翻译为“批量预测输入”。对于此问题的解决方法，可以使用Google Cloud Platform的AI Platform来实现。以下是使用Python代码进行批量预测输入的示例：

1. 首先，需要在AI Platform上创建一个模型和版本（详细教程请参考GCP文档）

2. 接下来，需要使用AI Platform的在线批量预测功能，将输入数据发送到模型中进行预测，然后返回预测结果。以下是Python代码示例：

import json
import googleapiclient.discovery

# Create the AI Platform service client
api_endpoint = 'https://ml.googleapis.com'
client = googleapiclient.discovery.build('ml', 'v1', api_endpoint=api_endpoint)

# Set the name of the model and version to use for predictions
model_name = 'my_model'
model_version = 'v1'

# Define the input data as a list of dictionaries
input_data = [
    {"age": 32, "job": "management", "marital": "single", "education": "tertiary", "default": "no", 
     "balance": 2343, "housing": "yes", "loan": "no", "contact": "unknown", "day": 5, "month": "may", 
     "duration": 1042, "campaign": 1, "pdays": -1, "previous": 0, "poutcome": "unknown"},
    {"age": 43, "job": "admin.", "marital": "married", "education": "secondary", "default": "no", 
     "balance": 4567, "housing": "yes", "loan": "no", "contact": "unknown", "day": 5, "month": "may", 
     "duration": 1467, "campaign": 2, "pdays": -1, "previous": 0, "poutcome": "unknown"}
]

# Define the prediction request