Django Prophet を使用して交通渋滞を予測するにはどうすればよいですか?

import pandas as pd

# 加载数据
data = pd.read_csv('traffic_data.csv')

# 将日期/时间列转换为日期时间对象
data['datetime'] = pd.to_datetime(data['datetime'])

# 将流量列命名为‘y’
data.rename(columns={'traffic': 'y'}, inplace=True)

# 将日期时间列设为索引
data.set_index('datetime', inplace=True)

# 对缺失值进行插值处理
data.interpolate(method='linear', inplace=True)

# 打印数据前几行
print(data.head())

pip install django-prophet

INSTALLED_APPS = [
    ...
    'django_prophet',
    ...
]

from datetime import timedelta
from django.db import models
from django_prophet.models import ProphetModel

# 创建Django Prophet模型
class TrafficPredictionModel(ProphetModel):
    # 定义预测时间间隔
    prediction_period = models.DurationField(default=timedelta(days=7))

    # 定义训练过程中的参数
    @classmethod
    def get_prophet_parameters(cls):
        parameters = super().get_prophet_parameters()
        parameters.update({
            'changepoint_prior_scale': 0.05,
            'seasonality_mode': 'multiplicative'
        })
        return parameters

from django.http import JsonResponse
from django_prophet.forecaster import ProphetForecaster
from .models import TrafficPredictionModel

# 运行预测模型
def predict_traffic(request):
    # 加载Django Prophet模型
    model = TrafficPredictionModel.load_model()

    # 创建ProphetForecaster对象
    forecaster = ProphetForecaster(model)

    # 运行预测
    predictions = forecaster.predict()

    # 返回预测结果
    return JsonResponse(predictions, safe=False)

from django.urls import path
from .views import predict_traffic

urlpatterns = [
    path('predict_traffic/', predict_traffic, name='predict_traffic'),
]