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bdatko/potential_fillWith.ipynb

Created July 18, 2022 01:15
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playing around with pyAgrum potentials
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potential_fillWith.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "ee23273a-9355-4cd1-86de-81c2c321d35b",
"metadata": {},
"source": [
"# Purpose\n",
"- trying to figure out how to fill potential without `[:]`"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "3dd571cc-c5f4-4faf-81d4-ddca2222de9e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: watermark in /srv/conda/envs/notebook/lib/python3.9/site-packages (2.3.1)\n",
"Requirement already satisfied: ipython in /srv/conda/envs/notebook/lib/python3.9/site-packages (from watermark) (8.2.0)\n",
"Requirement already satisfied: stack-data in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.2.0)\n",
"Requirement already satisfied: pexpect>4.3 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (4.8.0)\n",
"Requirement already satisfied: matplotlib-inline in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.1.3)\n",
"Requirement already satisfied: pickleshare in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.7.5)\n",
"Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (3.0.29)\n",
"Requirement already satisfied: pygments>=2.4.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (2.11.2)\n",
"Requirement already satisfied: jedi>=0.16 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.18.1)\n",
"Requirement already satisfied: setuptools>=18.5 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (62.0.0)\n",
"Requirement already satisfied: decorator in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (5.1.1)\n",
"Requirement already satisfied: backcall in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.2.0)\n",
"Requirement already satisfied: traitlets>=5 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (5.1.1)\n",
"Requirement already satisfied: parso<0.9.0,>=0.8.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from jedi>=0.16->ipython->watermark) (0.8.3)\n",
"Requirement already satisfied: ptyprocess>=0.5 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from pexpect>4.3->ipython->watermark) (0.7.0)\n",
"Requirement already satisfied: wcwidth in /srv/conda/envs/notebook/lib/python3.9/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython->watermark) (0.2.5)\n",
"Requirement already satisfied: executing in /srv/conda/envs/notebook/lib/python3.9/site-packages (from stack-data->ipython->watermark) (0.8.3)\n",
"Requirement already satisfied: asttokens in /srv/conda/envs/notebook/lib/python3.9/site-packages (from stack-data->ipython->watermark) (2.0.5)\n",
"Requirement already satisfied: pure-eval in /srv/conda/envs/notebook/lib/python3.9/site-packages (from stack-data->ipython->watermark) (0.2.2)\n",
"Requirement already satisfied: six in /srv/conda/envs/notebook/lib/python3.9/site-packages (from asttokens->stack-data->ipython->watermark) (1.16.0)\n"
]
}
],
"source": [
"!pip install watermark"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "bf3dc5aa-ca36-4933-bfcd-4c23277a6912",
"metadata": {},
"outputs": [],
"source": [
"from pylab import *\n",
"import matplotlib.pyplot as plt\n",
"import pyAgrum as gum\n",
"import pyAgrum.lib.notebook as gnb\n",
"import numpy as np\n",
"import scipy.stats\n",
"from tqdm import tqdm\n",
"import itertools\n",
"import time"
]
},
{
"cell_type": "markdown",
"id": "b9ffdcb6-5a4a-4261-ba8e-249ff3e0fe1c",
"metadata": {},
"source": [
"- this notebook was run in the Binder image provide by pyAgrum https://agrum.gitlab.io/extra/agrum_at_binder.html, click the Binder icon found on the bottom left corner of the agrum project home page\n",
" - the link for the binder image used for this notebook is https://agrum.gitlab.io/extra/agrum_at_binder.html"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "e48265c8-f9cd-4f6e-9e5e-0f2e8df1a922",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Mon Jul 18 01:10:12 UTC 2022\n"
]
}
],
"source": [
"!date"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "4a661d15-0354-41ab-b4cd-d55d6f5a19d8",
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"%reload_ext autoreload\n",
"%autoreload 2\n",
"%load_ext watermark"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "121ddddc-9fdc-4885-ac18-f1173ac4f4da",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Python implementation: CPython\n",
"Python version : 3.9.12\n",
"IPython version : 8.2.0\n",
"\n",
"numpy : 1.23.1\n",
"pandas : 1.4.3\n",
"matplotlib: 3.5.2\n",
"pyAgrum : 1.2.0\n",
"scipy : 1.8.1\n",
"\n",
"Compiler : GCC 10.3.0\n",
"OS : Linux\n",
"Release : 4.15.0-180-generic\n",
"Machine : x86_64\n",
"Processor : x86_64\n",
"CPU cores : 4\n",
"Architecture: 64bit\n",
"\n"
]
}
],
"source": [
"%watermark -v -m -p numpy,pandas,matplotlib,pyAgrum,scipy"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "64bf2358-abc5-4716-9b75-6774ea13cb20",
"metadata": {},
"outputs": [],
"source": [
"gum.config[\"notebook\",\"default_graph_size\"]=\"12!\"\n",
"gum.config[\"notebook\",\"default_graph_inference_size\"]=\"12!\""
]
},
{
"cell_type": "markdown",
"id": "d7a7e5bf-f28f-48f7-a797-e57640df9602",
"metadata": {},
"source": [
"# Potential playground"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "d1a9dafa-53b4-479a-971c-701e139e6bdd",
"metadata": {},
"outputs": [],
"source": [
"a,b,c=[gum.LabelizedVariable(s,s,2) for s in \"abc\"]"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "ea99d728-69f3-436a-ba82-d828e08d8ae7",
"metadata": {},
"outputs": [],
"source": [
"p1=gum.Potential().add(a).add(b).fillWith([1,2,3,4]).normalize()\n",
"p2=gum.Potential().add(b).add(c).fillWith([4,5,2,3]).normalize()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "5b4e2d3e-5d0b-4672-a884-f02dc6f0f817",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2, 2)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1.shape"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "1e599f94-5b8f-469c-a335-13d940451afc",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2, 2)"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p2.shape"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "5bacc673-b626-4dee-a9ab-6e80f229e75a",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [11]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mp2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0.9\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m0.1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0.1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m0.9\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n"
]
}
],
"source": [
"p2.fillWith([[0.9,0.1],[0.1,0.9]])"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "4f86ed14-8883-49dc-b54c-27cfd33dd397",
"metadata": {},
"outputs": [],
"source": [
"p3 = p1+p2"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "ab0a0b82-2e15-4ac3-9980-555c3c4a9caa",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table style=\"border:1px solid black;\">\n",
"<tr><th colspan='2'></th>\n",
" <th colspan='2' style='border:1px solid black;color:black;background-color:#808080;'><center>b</center>\n",
" </th></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#808080'><center>a</center></th><th style='border:1px solid black;color:black;background-color:#808080'><center>c</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>0</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>1</center></th></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#BBBBBB;' rowspan = '2'>\n",
" <center>0</center></th><th style='border:1px solid black;color:black;background-color:#BBBBBB'><center>0</center></th><td style='text-align:right;'>0.3857</td><td style='text-align:right;'>0.6571</td></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#BBBBBB'><center>1</center></th><td style='text-align:right;'>0.2429</td><td style='text-align:right;'>0.5143</td></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#BBBBBB;' rowspan = '2'>\n",
" <center>1</center></th><th style='border:1px solid black;color:black;background-color:#BBBBBB'><center>0</center></th><td style='text-align:right;'>0.4857</td><td style='text-align:right;'>0.7571</td></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#BBBBBB'><center>1</center></th><td style='text-align:right;'>0.3429</td><td style='text-align:right;'>0.6143</td></tr>\n",
"</table>"
],
"text/plain": [
"(pyAgrum.Potential<double>@0x56069a721ae0) \n",
" || b |\n",
"c |a ||0 |1 |\n",
"------|------||---------|---------|\n",
"0 |0 || 0.3857 | 0.6571 |\n",
"1 |0 || 0.2429 | 0.5143 |\n",
"0 |1 || 0.4857 | 0.7571 |\n",
"1 |1 || 0.3429 | 0.6143 |"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p3"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "08b57ec9-a79d-4bd4-91e9-525cf72527a8",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2, 2, 2)"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p3.shape"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "894777d4-1d87-4d7f-adeb-4f323a94907b",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [15]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mp3\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrandom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrand\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n"
]
}
],
"source": [
"p3.fillWith(np.random.rand(2,2,2))"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "eb91c5ff-bc53-46ec-a160-a18e8df014fb",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [16]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mp3\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrandom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrand\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtolist\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n"
]
}
],
"source": [
"p3.fillWith(np.random.rand(2,2,2).tolist())"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "791201b3-f4fa-4229-95cb-1d1a216422b9",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'new_Potential', argument 1 of type 'gum::Potential< double > &&'\nAdditional information:\nWrong number or type of arguments for overloaded function 'new_Potential'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::Potential()\n gum::Potential< double >::Potential(gum::MultiDimImplementation< double > *)\n gum::Potential< double >::Potential(gum::MultiDimImplementation< double > *,gum::MultiDimContainer< double > const &)\n gum::Potential< double >::Potential(gum::Potential< double > const &)\n gum::Potential< double >::Potential(gum::Potential< double > &&)\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [17]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mgum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7384\u001b[0m, in \u001b[0;36mPotential.__init__\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7383\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs):\n\u001b[0;32m-> 7384\u001b[0m _pyAgrum\u001b[38;5;241m.\u001b[39mPotential_swiginit(\u001b[38;5;28mself\u001b[39m, \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mnew_Potential\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 7386\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_list_vars\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mlist\u001b[39m()\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'new_Potential', argument 1 of type 'gum::Potential< double > &&'\nAdditional information:\nWrong number or type of arguments for overloaded function 'new_Potential'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::Potential()\n gum::Potential< double >::Potential(gum::MultiDimImplementation< double > *)\n gum::Potential< double >::Potential(gum::MultiDimImplementation< double > *,gum::MultiDimContainer< double > const &)\n gum::Potential< double >::Potential(gum::Potential< double > const &)\n gum::Potential< double >::Potential(gum::Potential< double > &&)\n"
]
}
],
"source": [
"gum.Potential([1,2,3])"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "262411ce-5693-412a-ad94-e25ca040c47d",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table style=\"border:1px solid black;\">\n",
"<tr style='border:1px solid black;color:black;background-color:#808080'>\n",
" <th colspan='3'><center>t</center></th></tr>\n",
"<tr><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>0</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>1</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>2</center></th></tr>\n",
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"</table>"
],
"text/plain": [
"(pyAgrum.Potential<double>@0x56069a765330) \n",
" t |\n",
"0 |1 |2 |\n",
"---------|---------|---------|\n",
" 0.0000 | 0.0000 | 0.0000 |"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t=gum.LabelizedVariable('t','t',3)\n",
"p1=gum.Potential().add(t)\n",
"p1"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "43616e2e-172f-46bb-8179-92e8846aa2c6",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0, 1, 2])"
]
},
"execution_count": 19,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"np.arange(3)"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "c7f46f82-78af-451a-b0e8-f75063b7a27f",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [20]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mp1\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marange\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n"
]
}
],
"source": [
"p1.fillWith(np.arange(3))"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "3d15ac55-74da-4de7-becc-02a2e806c289",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table style=\"border:1px solid black;\">\n",
"<tr style='border:1px solid black;color:black;background-color:#808080'>\n",
" <th colspan='3'><center>t</center></th></tr>\n",
"<tr><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>0</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>1</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>2</center></th></tr>\n",
"<tr><td style='text-align:right;'>1.0000</td><td style='text-align:right;'>2.0000</td><td style='text-align:right;'>3.0000</td></tr>\n",
"</table>"
],
"text/plain": [
"(pyAgrum.Potential<double>@0x56069a765330) \n",
" t |\n",
"0 |1 |2 |\n",
"---------|---------|---------|\n",
" 1.0000 | 2.0000 | 3.0000 |"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1.fillWith([1,2,3])"
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "80b3146a-1294-4238-a064-e7c5b178f491",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table style=\"border:1px solid black;\">\n",
"<tr style='border:1px solid black;color:black;background-color:#808080'>\n",
" <th colspan='3'><center>t</center></th></tr>\n",
"<tr><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>0</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>1</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>2</center></th></tr>\n",
"<tr><td style='text-align:right;'>0.0000</td><td style='text-align:right;'>1.0000</td><td style='text-align:right;'>2.0000</td></tr>\n",
"</table>"
],
"text/plain": [
"(pyAgrum.Potential<double>@0x56069a765330) \n",
" t |\n",
"0 |1 |2 |\n",
"---------|---------|---------|\n",
" 0.0000 | 1.0000 | 2.0000 |"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p1.fillWith(np.arange(3).tolist())"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "feee51b9-3339-4c58-848c-179cfb2f6df3",
"metadata": {},
"outputs": [],
"source": [
"p1=gum.Potential().add(a).add(b).fillWith([1,2,3,4]).normalize()\n",
"p2=gum.Potential().add(b).add(c).fillWith([4,5,2,3]).normalize()\n",
"p3 = p1+p2"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "0bc94e87-24c8-42d7-8275-c4ce8f786451",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [24]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mgum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential\u001b[49m\u001b[43m(\u001b[49m\u001b[43mp3\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrandom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrand\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n"
]
}
],
"source": [
"gum.Potential(p3).fillWith(np.random.rand(2,2,2))"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "17530c7e-1e01-4b12-b403-2412e8fd2709",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [25]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mgum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrandom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrand\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n"
]
}
],
"source": [
"gum.Potential().fillWith(np.random.rand(2,2,2))"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "577ce7c7-03d1-4652-a390-82a5ccc7ea26",
"metadata": {},
"outputs": [
{
"ename": "SizeError",
"evalue": "[pyAgrum] incorrect size: Sizes do not match : 8!=3",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mSizeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [26]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mgum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential\u001b[49m\u001b[43m(\u001b[49m\u001b[43mp3\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mrange\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m3\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mSizeError\u001b[0m: [pyAgrum] incorrect size: Sizes do not match : 8!=3"
]
}
],
"source": [
"gum.Potential(p3).fillWith(range(3))"
]
},
{
"cell_type": "markdown",
"id": "71ea4712-5aef-4c8e-97a7-318e04de8783",
"metadata": {},
"source": [
"^^\n",
"* the above error gives me hope!\n",
"* it seems like it wants the flatten version?\n",
"* or maybe it was the pattern `gum.Potential(p3)` instead of `gum.Potential()`"
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "8b215eb1-8e64-4f3d-a505-51adcd811ffb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2, 2, 2)"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"p3.shape"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "2ea5daf3-097d-4436-8fa5-6a9ab7aaa2dd",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [28]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mgum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential\u001b[49m\u001b[43m(\u001b[49m\u001b[43mp3\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrandom\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrand\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m2\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n"
]
}
],
"source": [
"gum.Potential(p3).fillWith(np.random.rand(2,2,2))"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "5d1b5794-f5f1-4a6e-bca2-6425aa352a48",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table style=\"border:1px solid black;\">\n",
"<tr><th colspan='2'></th>\n",
" <th colspan='2' style='border:1px solid black;color:black;background-color:#808080;'><center>b</center>\n",
" </th></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#808080'><center>a</center></th><th style='border:1px solid black;color:black;background-color:#808080'><center>c</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>0</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>1</center></th></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#BBBBBB;' rowspan = '2'>\n",
" <center>0</center></th><th style='border:1px solid black;color:black;background-color:#BBBBBB'><center>0</center></th><td style='text-align:right;'>0.5004</td><td style='text-align:right;'>0.4655</td></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#BBBBBB'><center>1</center></th><td style='text-align:right;'>0.0855</td><td style='text-align:right;'>0.2290</td></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#BBBBBB;' rowspan = '2'>\n",
" <center>1</center></th><th style='border:1px solid black;color:black;background-color:#BBBBBB'><center>0</center></th><td style='text-align:right;'>0.0597</td><td style='text-align:right;'>0.2858</td></tr>\n",
"<tr><th style='border:1px solid black;color:black;background-color:#BBBBBB'><center>1</center></th><td style='text-align:right;'>0.5213</td><td style='text-align:right;'>0.9135</td></tr>\n",
"</table>"
],
"text/plain": [
"(pyAgrum.Potential<double>@0x56069a988a30) \n",
" || b |\n",
"c |a ||0 |1 |\n",
"------|------||---------|---------|\n",
"0 |0 || 0.5004 | 0.4655 |\n",
"1 |0 || 0.0855 | 0.2290 |\n",
"0 |1 || 0.0597 | 0.2858 |\n",
"1 |1 || 0.5213 | 0.9135 |"
]
},
"execution_count": 29,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"gum.Potential(p3).fillWith(np.random.rand(2,2,2).flatten())"
]
},
{
"cell_type": "markdown",
"id": "0abe9087-6346-4774-961d-68182e173e27",
"metadata": {},
"source": [
"* I think I am on to something!"
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "7fb9621f-1dde-4521-99fb-a925fde38b43",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<table style=\"border:1px solid black;\">\n",
"<tr style='border:1px solid black;color:black;background-color:#808080'>\n",
" <th colspan='2'><center>Pb</center></th></tr>\n",
"<tr><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>0</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
" <center>1</center></th></tr>\n",
"<tr><td style='color:black;background-color:#d8a564;text-align:right;'>0.3000</td><td style='color:black;background-color:#a5d864;text-align:right;'>0.7000</td></tr>\n",
"</table>"
],
"text/plain": [
"(pyAgrum.Potential<double>@0x56069a5a6ad0) \n",
" Pb |\n",
"0 |1 |\n",
"---------|---------|\n",
" 0.3000 | 0.7000 |"
]
},
"execution_count": 30,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bn=gum.fastBN(\"Ca->X1->Y1<-Pb\")\n",
"bn.cpt(\"Ca\").fillWith([0.8,0.2])\n",
"bn.cpt(\"Pb\").fillWith([0.3,0.7])"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "4d0d3921-db5f-44cb-a5e5-038db456921e",
"metadata": {},
"outputs": [
{
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"(pyAgrum.Potential<double>@0x56069a71b600) \n",
" || X1 |\n",
"Ca ||0 |1 |\n",
"------||---------|---------|\n",
"0 || 0.9000 | 0.1000 |\n",
"1 || 0.1000 | 0.9000 |"
]
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"metadata": {},
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],
"source": [
"bn.cpt(\"X1\")[:]=[[0.9,0.1],[0.1,0.9]]\n",
"bn.cpt(\"X1\")"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "5d2087ae-bbc8-4cd1-b2fe-3fbd91ea622e",
"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Input \u001b[0;32mIn [32]\u001b[0m, in \u001b[0;36m<cell line: 1>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mbn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mcpt\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mX1\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0.9\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m0.1\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m0.1\u001b[39;49m\u001b[43m,\u001b[49m\u001b[38;5;241;43m0.9\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n",
"File \u001b[0;32m/srv/conda/envs/notebook/lib/python3.9/site-packages/pyAgrum/pyAgrum.py:7583\u001b[0m, in \u001b[0;36mPotential.fillWith\u001b[0;34m(self, *args)\u001b[0m\n\u001b[1;32m 7557\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mfillWith\u001b[39m(\u001b[38;5;28mself\u001b[39m, \u001b[38;5;241m*\u001b[39margs) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mpyAgrum.Potential\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 7558\u001b[0m \u001b[38;5;124mr\u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 7559\u001b[0m \n\u001b[1;32m 7560\u001b[0m \u001b[38;5;124;03m Automatically fills the potential with v.\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 7581\u001b[0m \n\u001b[1;32m 7582\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m-> 7583\u001b[0m val \u001b[38;5;241m=\u001b[39m \u001b[43m_pyAgrum\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPotential_fillWith\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 7585\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\n\u001b[1;32m 7588\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m val\n",
"\u001b[0;31mTypeError\u001b[0m: in method 'Potential_fillWith', argument 2 of type 'std::vector< double,std::allocator< double > > const &'\nAdditional information:\nWrong number or type of arguments for overloaded function 'Potential_fillWith'.\n Possible C/C++ prototypes are:\n gum::Potential< double >::fillWith(gum::Potential< double > const &) const\n gum::Potential< double >::fillWith(gum::Potential< double > const &,std::vector< std::string,std::allocator< std::string > > const &) const\n gum::Potential< double >::fillWith(std::vector< double,std::allocator< double > > const &) const\n gum::Potential< double >::fillWith(double const &) const\n"
]
}
],
"source": [
"bn.cpt(\"X1\").fillWith([[0.9,0.1],[0.1,0.9]])"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "012f6486-a1d0-4c14-ac56-58d2e998d0a7",
"metadata": {},
"outputs": [
{
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"<table style=\"border:1px solid black;\">\n",
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" <th colspan='2' style='border:1px solid black;color:black;background-color:#808080;'><center>X1</center>\n",
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"<tr><th style='border:1px solid black;color:black;background-color:#808080'><center>Ca</center></th><th style='border:1px solid black;border-bottom-style: double;color:black;background-color:#BBBBBB'>\n",
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"text/plain": [
"(pyAgrum.Potential<double>@0x56069a71b600) \n",
" || X1 |\n",
"Ca ||0 |1 |\n",
"------||---------|---------|\n",
"0 || 0.9000 | 0.1000 |\n",
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"bn.cpt(\"X1\").fillWith(np.array([[0.9,0.1],[0.1,0.9]]).flatten())"
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{
"cell_type": "markdown",
"id": "445fe41f-5de9-4c6e-a8b9-5b7e80a08ad5",
"metadata": {},
"source": [
"## Trying the big table"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "f187c5d9-c654-4100-81e6-94f11d4f1ccd",
"metadata": {},
"outputs": [],
"source": [
"def normalize_(rv,vmin,vmax,size, **pdf_kwargs):\n",
" x = linspace(vmin,vmax,size)\n",
" pdf=rv.pdf(x, **pdf_kwargs)\n",
" return x,(pdf/sum(pdf))"
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "118a51d1-79e6-45c0-bb7f-22370ff217c3",
"metadata": {},
"outputs": [],
"source": [
"NB_ = 100\n",
"vmin, vmax = 0.001, 0.999\n",
"pmin_mu, pmax_mu = 0.001, 0.999\n",
"pmin_nu, pmax_nu = 1,50\n",
"size_ = 16"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "5e4fc9ac-769c-4e4a-9aef-6385458e6d10",
"metadata": {},
"outputs": [
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"source": [
"loc_, scale_ = 2, 5\n",
"x_nu, y_nu = normalize_(scipy.stats.expon,pmin_nu,pmax_nu,NB_,loc=loc_, scale=scale_)\n",
"plot(x_nu,y_nu)\n",
"title(r\"Prior: $\\frac{1}{%s}exp(\\frac{x - %s}{%s}$)\" % (scale_, loc_, scale_))\n",
"legend([r\"P($\\nu$)\"],loc='best');"
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},
{
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"id": "153851c4-52e1-4f7c-b4e3-f0de5d7bbb70",
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"source": [
"x_mu, y_mu = normalize_(scipy.stats.uniform,pmin_mu,pmax_mu,NB_,)\n",
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},
{
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"id": "7a110339-3f66-4959-9dda-e1ca90f3c94d",
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"<!-- nu&#45;&gt;bias -->\n",
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"<title>nu-&gt;bias</title>\n",
"<g id=\"a_edge3\"><a xlink:title=\"(1, 2) : \">\n",
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"</a>\n",
"</g>\n",
"</g>\n",
"<!-- mu -->\n",
"<g id=\"node8\" class=\"node\">\n",
"<title>mu</title>\n",
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"</a>\n",
"</g>\n",
"</g>\n",
"<!-- mu&#45;&gt;bias -->\n",
"<g id=\"edge11\" class=\"edge\">\n",
"<title>mu-&gt;bias</title>\n",
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"</g>\n",
"</g>\n",
"<!-- H12 -->\n",
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"</g>\n",
"<!-- H15 -->\n",
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"</g>\n",
"<!-- H13 -->\n",
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"<title>H13</title>\n",
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"</a>\n",
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"</g>\n",
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"</g>\n",
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"</g>\n",
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"<title>bias-&gt;H12</title>\n",
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],
"text/plain": [
"(pyAgrum.BayesNet<double>@0x56069b2f4ee0) BN{nodes: 19, arcs: 18, domainSize: 10^10.8165, dim: 1003400}"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bn=gum.BayesNet(\"SEQUENCE OF COINS MODEL\")\n",
"mu = bn.add(gum.RangeVariable(\"mu\",\"mean of the Beta distribution\",0,NB_-1))\n",
"nu = bn.add(gum.RangeVariable(\"nu\",\"'sample size' of the Beta where nu = a + b > 0\",0,NB_-1))\n",
"bias=bn.add(gum.RangeVariable(\"bias\",\"The bias of the coin\",0,NB_-1))\n",
"hs=[bn.add(gum.LabelizedVariable(f\"H{i}\",\"The hallucinations of coin flips\",2)) for i in range(size_)]\n",
"\n",
"bn.addArc(mu,bias)\n",
"bn.addArc(nu,bias)\n",
"for h in hs:\n",
" bn.addArc(bias,h)\n",
"print(bn)\n",
"bn"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "905847ab-487e-4d4d-926c-56d0c6e10dae",
"metadata": {},
"outputs": [],
"source": [
"bn.cpt(mu)[:] = y_mu # uniform prior for hyperparameter\n",
"bn.cpt(nu)[:] = y_nu # expoential prior for hyperparameter"
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "8998fe0a-4916-4ae9-8cb5-c1b35e5c4e42",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"((100, 100), (100, 100))"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# https://scicomp.stackexchange.com/a/10800\n",
"al_ = (x_mu[:,newaxis] * x_nu[newaxis,:])\n",
"be_ = (1 - x_mu)[:,newaxis] * x_nu[newaxis,:]\n",
"al_.shape, be_.shape"
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "733f5cde-31a8-4eed-bfec-d87082114ca1",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(100, 100, 100)"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bn.cpt(\"bias\").shape"
]
},
{
"cell_type": "code",
"execution_count": 42,
"id": "311d3ca4-787c-48ef-89ba-0630e27cc927",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"end_time=0.3189249038696289 (s)\n"
]
}
],
"source": [
"t_start = time.time()\n",
"pdf = scipy.stats.beta(al_,be_).pdf(linspace(vmin, vmax,NB_)[:,newaxis, newaxis])\n",
"bn.cpt(\"bias\").fillWith(np.swapaxes(pdf, 0, -1).flatten())\n",
"bn.cpt(\"bias\").normalizeAsCPT()\n",
"end_time = time.time() - t_start\n",
"print(f\"{end_time=} (s)\")"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "21fd3bdb-00a3-4f09-8897-55913f8cfa9a",
"metadata": {},
"outputs": [],
"source": [
"l=[]\n",
"r=(vmax-vmin)/NB_\n",
"for i in range(NB_):\n",
" l.append(vmax-i*r)\n",
" l.append(i*r+vmin)\n",
"for h in hs:\n",
" bn.cpt(h).fillWith(l).normalizeAsCPT()"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "b8283fa6-1ebf-454f-927d-5450ec633447",
"metadata": {},
"outputs": [
{
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"text/plain": [
"<IPython.core.display.SVG object>"
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"metadata": {},
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],
"source": [
"gnb.showInference(bn)"
]
},
{
"cell_type": "markdown",
"id": "a3700606-6246-4196-9143-153e7af794e5",
"metadata": {},
"source": [
"## Different way to fill the `Hs`?"
]
},
{
"cell_type": "code",
"execution_count": 45,
"id": "73673c68-27d2-4a19-9167-e718fa3246cb",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"200"
]
},
"execution_count": 45,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(l) # flatten version of the table!!! it was there all along"
]
},
{
"cell_type": "code",
"execution_count": 46,
"id": "72e759da-a9cd-4270-a023-e4535e7e0dc1",
"metadata": {},
"outputs": [],
"source": [
"x_bias = linspace(vmin, vmax, NB_)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"id": "cdd5224e-ed7f-4b38-9871-e0cb301b57bd",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"x_hs = np.array([1 - x_bias, x_bias]).T"
]
},
{
"cell_type": "code",
"execution_count": 48,
"id": "658f4619-1865-4ace-a9ff-922fbd7f2c1f",
"metadata": {},
"outputs": [],
"source": [
"for h in hs:\n",
" bn.cpt(h).fillWith(x_hs.flatten()).normalizeAsCPT()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "76e28146-5a73-4110-a820-331db2c6af7e",
"metadata": {},
"outputs": [],
"source": []
}
],
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"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
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"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
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