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View Denoising-based_Variational_Bayes_Logistic_Regression.ipynb
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View Amortized_Explaining_Away_Demo.ipynb
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View Bayesian+linear+regression+approximate+inference+GAN.ipynb
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View minibatch version of KL and JS divergences.ipynb
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View IVP_growth_data.json
[
{
"date": "08/08/13",
"YoYgrowth": [
null,
"35.1%",
"37.2%",
null
],
"ticker": "CVT",
@fhuszar
fhuszar / prediction_example.py
Last active May 26, 2019
This is an example solution to the London Big Data Hackathon Data Science Challenge organised by Data Sceince London on the weekend 13-14 April 2013.
View prediction_example.py
#!/usr/bin/python
# -*- coding: utf8 -*-
# SAMPLE SUBMISSION TO THE BIG DATA HACKATHON 13-14 April 2013 'Influencers in a Social Network'
# .... more info on Kaggle and links to go here
#
# written by Ferenc Huszár, PeerIndex
from sklearn import linear_model
from sklearn.metrics import auc_score
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