From 33a7a45c209e5b316aeb8e921fb5eb4e06c94b61 Mon Sep 17 00:00:00 2001
From: Nitin Chaudhary <42841579+ntsingh122@users.noreply.github.com>
Date: Wed, 27 Jan 2021 08:19:23 +0530
Subject: [PATCH] Update juplab7.ipynb

updated the code for the newer version of pgmpy library.
---
 7/juplab7.ipynb | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/7/juplab7.ipynb b/7/juplab7.ipynb
index a05ba0a..bb0027b 100644
--- a/7/juplab7.ipynb
+++ b/7/juplab7.ipynb
@@ -153,13 +153,14 @@
     }
    ],
    "source": [
+    "import sys"
     "import numpy as np\n",
     "import pandas as pd\n",
     "from pgmpy.models import BayesianModel\n",
     "from pgmpy.estimators import MaximumLikelihoodEstimator, BayesianEstimator\n",
     "\n",
     "mydata=pd.read_csv(\"heart_disease_data.csv\")\n",
-    "np.set_printoptions(threshold=np.nan)\n",
+    "np.set_printoptions(threshold=sys.maxsize)\n",
     "names = ['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach', 'exang', 'oldpeak', 'slope', 'ca', 'thal', 'heartdisease']\n",
     "heartDisease = pd.read_csv( \"heart_disease_data.csv\")\n",
     "display(heartDisease.head())\n",
@@ -211,11 +212,11 @@
     "from pgmpy.inference import VariableElimination\n",
     "HeartDisease_infer = VariableElimination(model)\n",
     "q = HeartDisease_infer.query(variables=['heartdisease'], evidence={'age': 32})\n",
-    "print(q['heartdisease'])\n",
+    "print(q)\n",
     "q = HeartDisease_infer.query(variables=['heartdisease'], evidence={'chol': 100})\n",
-    "print(q['heartdisease'])\n",
+    "print(q)\n",
     "q = HeartDisease_infer.query(variables=['heartdisease'], evidence={'trestbps': 10})\n",
-    "print(q['heartdisease'])"
+    "print(q)"
    ]
   },
   {