From c46592cac8c3c0f672971ca6c7ae8f8eb23c5c56 Mon Sep 17 00:00:00 2001
From: anurag <anuragpassibioinfo@gmail.com>
Date: Fri, 13 Apr 2018 15:57:36 +0530
Subject: [PATCH] Deleted nbi snippet file

---
 RepTB_NBI_Algorithm_Snippet.ipynb | 79 ---------------------------------------
 1 file changed, 79 deletions(-)
 delete mode 100644 RepTB_NBI_Algorithm_Snippet.ipynb

diff --git a/RepTB_NBI_Algorithm_Snippet.ipynb b/RepTB_NBI_Algorithm_Snippet.ipynb
deleted file mode 100644
index 84e213f..0000000
--- a/RepTB_NBI_Algorithm_Snippet.ipynb
+++ /dev/null
@@ -1,79 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import csv\n",
-    "import numpy.matlib\n",
-    "from operator import itemgetter, attrgetter\n",
-    "from sklearn.model_selection import KFold\n",
-    "from sklearn.metrics import roc_curve, auc\n",
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    "#NBI calculation for A (adjacent matrix)\n",
-    "\n",
-    "K = np.diag((1/sum(A))) # Create a diagonal matrix \n",
-    "n = A.shape[0]           # Number of rows of adjacent martix A\n",
-    "m = A.shape[1]           # Number of columns in adjacent matrix A\n",
-    "#print n, m, Ky.shape\n",
-    "K[np.isinf(K) | np.isnan(K)] = 0\n",
-    "kk = np.transpose(np.sum(A,1))\n",
-    "#print kx.shape\n",
-    "N = np.matlib.repmat(1/kk,n,1)\n",
-    "N[np.isinf(N) | np.isnan(N)] = 0\n",
-    "#kx[np.isinf(kx) | np.isnan(kx)] = 0\n",
-    "W = np.transpose(np.dot(A, K))    # Create the weight matrix  \n",
-    "W1 = np.dot(A, W)\n",
-    "W2 = np.multiply(N, W1)   # Create the scaled up weight matrix\n",
-    "print W2.shape\n",
-    "NBIscore = np.dot(W2, A)      # Create the Final Resource matrix in accordance with (R = W.A)\n",
-    "print NBIscore.shape"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 2",
-   "language": "python",
-   "name": "python2"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 2
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.6"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
-- 
2.0.0