我正在尝试使用烧瓶在本地部署我的决策树。但我面临上述错误。这是我的代码
网页代码：
<!DOCTYPE html>
<html>
<head>
<title>my flask hello app</title>
<style>
*{
font-size: 30px;
}
</style>
</head>
<body>
<input id="age" type="text" placeholder="age"/></br>
<input id="gender" type="text" placeholder="gender"/></br>
<input id="cp" type="text" placeholder="cp"/></br>
<input id="restbp" type="text" placeholder="restbp"/></br>
<input id="chol" type="text" placeholder="chol"/></br>
<input id="fbs" type="text" placeholder="fbs"/></br>
<input id="restecg" type="text" placeholder="restecg"/></br>
<input id="thalach" type="text" placeholder="thalach"/></br>
<input id="exang" type="text" placeholder="exang" /></br>
<input id="oldpeak" type="text"placeholder="oldpeak"/></br>
<input id="slope" type="text"placeholder="slope"/></br>
<input id="ca" type="text" placeholder="ca"/></br>
<input id="thal" type="text" placeholder="thal"/></br>
<button id="name-button">predict</button>
<p id="greeting">greetings</p>
<script src="https://code.jquery.com/jquery-3.3.1.min.js"></script>
<script >
$("#name-button").click(function(event){
let message={
age:$("#age").val(),
gender:$("#gender").val(),
cp:$("#cp").val(),
restbp:$("#restbp").val(),
chol:$("#chol").val(),
fbs:$("#fbs").val(),
restecg:$("#restecg").val(),
thalach:$("#thalach").val(),
exang:$("#exang").val(),
oldpeak:$("#oldpeak").val(),
slope:$("#slope").val(),
ca:$("#ca").val() ,
thal:$("#thal").val()
} // message bracket end
$.post("http://localhost:5000/ahmed",JSON.stringify(message),function(response){
$("#greeting").text(response.greeting);
console.log(response);
});
});// onclick end
</script>
</body>
</html>
Python CODE：
from flask import request
from flask import jsonify
from flask import Flask
app= Flask(__name__)
@app.route('/ahmed', methods=[ 'post'])
def hello():
message=request.get_json(force=True)
age=float(message['age'])
gender=float(message['gender'])
cp=float(message['cp'])
restbp=float(message['restbp'])
chol=float(message['chol'])
fbs=float(message['fbs'])
restecg=float(message['restecg'])
thalach=float(message['thalach'])
exang=float(message['exang'])
oldpeak=message['oldpeak']
slope=float(message['slope'])
ca=float(message['ca'])
thal=float(message['thal'])
import pandas as pd # load and manipulate data and for One-Hot Encoding
import numpy as np # calculate the mean and standard deviation
import matplotlib.pyplot as plt # drawing graphs
from sklearn.tree import DecisionTreeClassifier # a classification tree
from sklearn import tree
from sklearn.model_selection import train_test_split # split data into training and testing sets
from sklearn.model_selection import cross_val_score # cross validation
from sklearn.metrics.classification import confusion_matrix # creates a confusion matrix
df = pd.read_csv('processed.cleveland.data',header=None)
df.columns = ['age',
'sex',
'cp',
'restbp',
'chol',
'fbs',
'restecg',
'thalach',
'exang',
'oldpeak',
'slope',
'ca',
'thal',
'hd']
df_no_misssing= df.loc[(df['ca']!='?')&(df['thal']!='?')]
X = df_no_misssing.drop('hd',axis=1).copy()
y = df_no_misssing['hd'].copy()
pd.get_dummies(X,columns=['cp']).head()
X_encoded = pd.get_dummies(X,columns=['cp','restecg','slope','thal'])
y_not_zero_index=y>0
y[y_not_zero_index]=1
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42)
clf_dt = DecisionTreeClassifier(random_state=42)
clf_dt = clf_dt.fit(X_train, y_train)
import pandas as pd
dict={'age':age, 'sex':gender,'cp':cp,'restbp':restbp,'chol':chol,'fbs':fbs,'restecg':restecg,'thalach':thalach,'exang':exang,'oldpeak':oldpeak,'slope':slope,'ca':ca,'thal':thal}
dataframe = pd.DataFrame.from_dict(dict, orient='index').T
if clf_dt.predict(dataframe)[0]==0:
status="no heart disease"
else:
status="heart disease"
response={
'greeting':'Patient has , '+status + '!'
}
return jsonify(response)
虽然两个端点都匹配哪个是艾哈迈德，但仍然面临上述问题。此外，python 和 html 都使用 post request，但 python 端显示 get request，而 html 端在命令提示符下显示 post request
@app.route('/ahmed', methods=[ 'post'])如果您想通过get打开页面，则仅启用post方法，则需要添加 get 方法
@app.route('/ahmed', methods=[ 'post', 'get'])