機械学習 + Django WEBアプリの実装
index:
設定等
・アプリは、test1
ルーティング追加
・test1/urls.py
# from django.urls import path from test1 import views app_name = 'test1' urlpatterns = [ path('', views.index, name='index'), #pred path('predict_input/', views.predict_input, name='predict_input'), path('predict/', views.predict, name='predict'), path('form_test/', views.form_test, name='form_test'), ]
・test1/views.py
from django.shortcuts import render, get_object_or_404, redirect from django.views.generic.list import ListView # Create your views here. from django.http import HttpResponse from django.template import loader import numpy as np # def index(request): return HttpResponse('Hello World ,from test1') # def predict_input(request): from test1.include.pred_price import PredPrice return render(request, 'test1/predict_input.html') # def predict(request): if request.method == 'POST': from test1.include.pred_price import PredPrice siki_price=request.POST['siki_price'] rei_price =request.POST['rei_price'] menseki =request.POST['menseki'] nensu =request.POST['nensu'] toho =request.POST['toho'] #param params = {"siki_price" : siki_price , "rei_price" : rei_price , "menseki" : menseki , "nensu" : nensu , "toho" : toho } print(params ) # pred =PredPrice() model =pred.load_model() df = pred.load_data( params ) price = model.predict(df ) price_int = np.array( price , np.int32) print( price_int[0] ) # return HttpResponse('predict-POST') return render(request, 'test1/predict_out.html', # 使用するテンプレート {'price': price_int[0] }) # テンプレートに渡すデータ else: return HttpResponse('predict')
画面
・予測、条件の入力。
=>不動産の、条件
・予測、結果の表示
=> 金額の予測が、出力出来ました。