Created
September 23, 2017 14:49
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Attempted API with flask and sampled
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from flask import Flask,request, jsonify | |
from sampled import sampled | |
import numpy as np | |
import pymc3 as pm | |
import theano.tensor as tt | |
import pandas as pd | |
app = Flask(__name__) | |
@sampled | |
def student(): | |
difficulty = pm.Beta('difficulty', alpha=5, beta=5) | |
intelligence = pm.Beta('intelligence', alpha=5, beta=5) | |
SAT = pm.Beta('SAT', alpha=20 * intelligence, beta=20 * (1 - intelligence)) | |
grade_avg = 0.5 + 0.5 * tt.sqrt((1 - difficulty) * intelligence) | |
grade = pm.Beta('grade', alpha=20 * grade_avg, beta=20 * (1 - grade_avg)) | |
recommendation = pm.Binomial('recommendation', n=1, p=0.7 * grade) | |
@app.route('/predict', methods=['POST']) | |
def predict(): | |
json_ = request.json | |
with student(SAT=json_): | |
prior = pm.sample(draws=1000, tune=500) | |
return jsonify({'recommendation': prior.get_values('recommendation').mean()}) | |
if (__name__=='__main__'): | |
app.run(port=5808) |
It looks like the data is probably malformed (too many double quotes!) -d '{"SAT": 0.5}'
is what I would try
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For some reason this doesn't work - I've tried testing it with
curl -i -X POST -H "Content-Type: application/json" -d "{"SAT":"0.5"}" http://localhost:5808/predict