Simple Stan Test

pystan.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pystan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "simple =\"\"\"\n",
    "parameters {\n",
    "  real y;\n",
    "}\n",
    "model {\n",
    "  y ~ normal(0, 1);\n",
    "}\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "simple_dat = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pystan:COMPILING THE C++ CODE FOR MODEL anon_model_031e94ff7ae9f2ee13f89c3744eeaf39 NOW.\n"
     ]
    }
   ],
   "source": [
    "sm = pystan.StanModel(model_code=simple)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "fit = sm.sampling(data=simple_dat, iter=1000, chains=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "-0.5"
      ]
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     "metadata": {},
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   "source": [
    "fit.log_prob([1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:pystan:COMPILING THE C++ CODE FOR MODEL anon_model_f6d3ca67c9517308bdc118dba9474c3d NOW.\n"
     ]
    }
   ],
   "source": [
    "simple2 =\"\"\"\n",
    "parameters {\n",
    "  real y;\n",
    "}\n",
    "model {\n",
    "  y ~ normal(0, 1);\n",
    "  y ~ normal(0, 1);\n",
    "}\n",
    "\"\"\"\n",
    "sm2 = pystan.StanModel(model_code=simple2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "fit2 = sm2.sampling(data=simple_dat, iter=1000, chains=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "-1.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fit2.log_prob([1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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