def main():
# Create a Knn object
knn_classifier = Knn("diabetes.csv")
# Set k as 20
knn_classifier.set_k(20)
knn_classifier.get_confusion_matrix()
class PublicApi():
def __init__(self):
self.app = flask.Flask(__name__)
CORS(self.app)
self.app.config["DEBUG"] = True
self.knn = Knn(3)
def start(self):
@self.app.route('/api/predict', methods=['POST'])
def api_id():
logging.info(request.args)
if 'radiant_score' in request.args and 'dire_score' in request.args and 'duration' in request.args:
radiant_score = int(request.args['radiant_score'])
dire_score = int(request.args['dire_score'])
duration = int(request.args['duration'])
self.knn.set_k(int(request.args['k']))
result = self.knn.predict([[radiant_score,dire_score,duration]])
logging.info(result[0])
text_result = ''
logging.error(self.knn.k)
if result[0] == 1:
text_result = 'Radiant wins!'
else:
text_result = 'Dire wins!'
self.knn.plot2D(radiant_score-dire_score,duration,text_result)
return str('{"result": \"'+text_result+'\"}')
else:
return "Missed a field"
self.app.run(host='0.0.0.0', port=8080)
from flask import request, jsonify, render_template, make_response
import numpy as np
import cv2
import sys
import base64
import io
from knn import Knn
from PIL import Image
from flask_cors import CORS
app = flask.Flask(__name__)
CORS(app)
app.config["DEBUG"] = True
knn = Knn()
knn.set_k(100)
@app.route('/getMathAnswer', methods=['POST'])
def getMathAnswer():
if 'base64' in request.json:
try:
data = request.json['base64']
imgdata = base64.b64decode(data)
filename = 'some_image.png'
# print(request.json)
with open(filename, 'wb') as f:
f.write(imgdata)
im = cv2.imread(filename)
# customHeight = int(request.json['height'])
# customHeight = int(customHeight*0.7)
from flask import request, jsonify, render_template, make_response
import numpy as np
import cv2
import sys
import base64
import io
from knn import Knn
from PIL import Image
from flask_cors import CORS
app = flask.Flask(__name__)
CORS(app)
app.config["DEBUG"] = True
knn = Knn()
knn.set_k(70)
@app.route('/getMathAnswer', methods=['POST'])
def getMathAnswer():
if 'base64' in request.json:
try:
data = request.json['base64']
imgdata = base64.b64decode(data)
filename = 'some_image.png'
# print(request.json)
with open(filename, 'wb') as f:
f.write(imgdata)
im = cv2.imread(filename)
# customHeight = int(request.json['height'])
# customHeight = int(customHeight*0.7)
