flask/INFERENCE CALCULATOR.py

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2023-06-28 12:03:38 -04:00
from flask import Flask, request, jsonify
import numpy as np
from flask import Flask, request, render_template
import numpy as np
app = Flask(__name__)
@app.route('/', methods=['GET', 'POST'])
def home():
result = None
if request.method == 'POST':
# Get the comma-separated string, split by commas, and convert to integer
s_data = np.array([int(i) for i in request.form.get('s_data', '').split(',') if i])
ns_data = np.array([int(i) for i in request.form.get('ns_data', '').split(',') if i])
total = sum(s_data) + sum(ns_data)
# Calculate marginal probabilities
marginal_prob_s = s_data / total
marginal_prob_ns = ns_data / total
# Calculate joint probabilities
joint_prob = np.outer(marginal_prob_s, marginal_prob_ns)
# Calculate likelihoods
posterior_s = s_data / sum(s_data)
posterior_ns = ns_data / sum(ns_data)
#likelihood
likelihood_s = marginal_prob_s
likelihood_ns = marginal_prob_ns
# Return results as dictionary
result = {
"JOINT PROBABILITY": joint_prob.tolist(),
"MARGINAL PROBABILITY_S": marginal_prob_s.tolist(),
"MARGINAL PROBABILITY_NS": marginal_prob_ns.tolist(),
"LIKELIHOOD_S": likelihood_s.tolist(),
"LIKELIHOOD_NS": likelihood_ns.tolist(),
"POSTERIOR_S": posterior_s.tolist(),
"POSTERIOR_NS": posterior_ns.tolist()
}
return render_template('index.html', result=result)
if __name__ == '__main__':
app.run(debug=True)