Here when in the last step y=np.mat(Y)

sankalparora5 · April 22, 2020, 11:23am

why is y=mp.mat(X), and it is still working,
it should be Y=np.mat(Y)

S18CRX0120 · April 22, 2020, 11:42am

Hey @sankalparora5, yes it should be Y=np.mat(Y), the original file contains this only, If you are still unable to run it, take reference from this code and try to check line by line,

github.com

coding-blocks-archives/machine-learning-online-2018/blob/master/3. Linear Regression/Locally Weighted Regression/LOWESS Implementation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Locally Weighted Regression\n",
    "1) Read and Normalise the Dataset \n",
    "\n",
    "2) Generate W for every query point!\n",
    "\n",
    "3) No training is involved, directly make predictions using closed form solution we dervied!\n",
    "\n",
    "`(X′WX)inv * X′WY` where X' is X_Transpose\n",
    "\n",
    "4) Find the best value of Tau(Bandwidth Parameter) [Cross Validation]"
   ]
  },
  {
   "cell_type": "markdown",

This file has been truncated. show original

Hope this resolved your doubt.
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S18CRX0120 · April 27, 2020, 12:39am

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