從C調用python腳本＃

Question

我有一個C＃代碼，它有助於先運行python環境，然後執行我的python進程。但問題是執行需要很長時間。

其實我只想傳遞我的值並在python腳本中執行單行代碼。但是每次都需要執行所有的python代碼。有沒有辦法運行python進程外側，只是在我想要的時候運行單行。

我連接兩個C＃代碼和Python過程與此

C＃代碼

public String Insert(float[] values) 

     { 
      // full path of python interpreter 
      string python = @"C:\ProgramData\Anaconda2\python.exe"; 

      // python app to call 
      string myPythonApp = @"C:\classification.py"; 

      // dummy parameters to send Python script 
      //int x = 2; 
      //int y = 5; 

      // Create new process start info 
      ProcessStartInfo myProcessStartInfo = new ProcessStartInfo(python); 

      // make sure we can read the output from stdout 
      myProcessStartInfo.UseShellExecute = false; 
      myProcessStartInfo.RedirectStandardOutput = true; 
      myProcessStartInfo.CreateNoWindow = true; 
      myProcessStartInfo.WindowStyle = ProcessWindowStyle.Minimized; 

      // start python app with 3 arguments 
      // 1st arguments is pointer to itself, 2nd and 3rd are actual arguments we want to send 
      myProcessStartInfo.Arguments = myPythonApp + " " + values[0] + " " + values[1] + " " + values[2] + " " + values[3] + " " + values[4] + " " + values[5]; 

      Process myProcess = new Process(); 
      // assign start information to the process 
      myProcess.StartInfo = myProcessStartInfo; 


      myProcess.Start(); 

      // Read the standard output of the app we called. 
      // in order to avoid deadlock we will read output first and then wait for process terminate: 
      StreamReader myStreamReader = myProcess.StandardOutput; 
      string myString = myStreamReader.ReadLine(); 

      /*if you need to read multiple lines, you might use: 
       string myString = myStreamReader.ReadToEnd() */ 

      // wait exit signal from the app we called and then close it. 
      myProcess.WaitForExit(); 

      myProcess.Close(); 

      // write the output we got from python app 
      Console.WriteLine("Value received from script: " + myString); 
      Console.WriteLine("Value received from script: " + myString); 

和Python腳本

import numpy as np 
import sys 

val1 = float(sys.argv[1]) 
val2 = float(sys.argv[2]) 
val3 = float(sys.argv[3]) 
val4 = float(sys.argv[4]) 
val5 = float(sys.argv[5]) 
val6 = float(sys.argv[6]) 



# Load dataset 
url = "F:\FINAL YEAR PROJECT\Amila\data2.csv" 
names = ['JawLower', 'BrowLower', 'BrowRaiser', 'LipCornerDepressor', 'LipRaiser','LipStretcher','Emotion_Id'] 
dataset = pandas.read_csv(url, names=names) 

# shape 
# print(dataset.shape) 


# class distribution 
# print(dataset.groupby('Emotion_Id').size()) 


# Split-out validation dataset 
array = dataset.values 
X = array[:,0:6] 
Y = array[:,6] 
neigh = KNeighborsClassifier(n_neighbors=3) 


neigh.fit(X, Y) 

print(neigh.predict([[val1,val2,val3,val4,val5,val6]])) 

打印（neigh.predict（[[VAL1，VAL2，VAL3 ，val4，val5，val6]]））這是我想分離執行的代碼行。

Answer 1

您需要創建一個新進程才能調用您的程序。

看看這個：C# equivalent to fork()/exec()

Answer 2

我會建議你使用REST API調用從C＃應用程序Python代碼。 爲了實現這一目標，您需要使用兩個庫：cPickle時和瓶

1. 揭露的代碼行的功能和註釋
2. 培訓和加載後連載模型預測

時，請參考這個代碼，我在python創造3.5

from sklearn import datasets 
from sklearn.ensemble import RandomForestClassifier 
import pickle 
from flask import Flask, abort, jsonify, request 
import numpy as np 
import json 

app = Flask(__name__) 

@app.route('/api/create', methods=['GET']) 

def create_model(): 
    iris = datasets.load_iris() 
    x = iris.data 
    y = iris.target 
    model = RandomForestClassifier(n_estimators=100, n_jobs=2) 
    model.fit(x, y) 
    pickle.dump(model, open("iris_model.pkl", "wb")) 
    return "done" 


def default(o): 
    if isinstance(o, np.integer): 
     return int(o) 
    raise TypeError 


@app.route('/api/predict', methods=['POST']) 
def make_predict(): 
    my_rfm = pickle.load(open("iris_model.pkl", "rb")) 
    data = request.get_json(force=True) 
    predict_request = [data['sl'], data['sw'], data['pl'], data['pw']] 
    predict_request = np.array(predict_request) 
    output = my_rfm.predict(predict_request)[0] 
    return json.dumps({'result': np.int32(output)}, default=default) 


if __name__ == '__main__': 
    app.run(port=8000, debug=True) 

可以爲運行它：

Answer 3

爲什麼你不用Python來運行代碼而不是嵌入C＃中？你將如何在具有Python依賴關係的另一臺機器上部署？

如果你想建立的機器學習模型有很多框架，如http://accord-framework.net/經典的機器學習算法

也可以嘗試我的項目還有：deepakkumar1984/SiaNet（https://github.com/deepakkumar1984/SiaNet）它是一個C＃包裝與CNTK後端。試圖實現像包裝一樣的keras。希望能幫助到你！