<commit_before>{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Experiment 4: TRo Journal\n",
    "---\n",
    "\n",
    "Present predictive and modeling performance of using MRD for cloth state modeling through plots. An example MRD model is trained and various plots such as latent space, ard kernel scales and the test inference results are plotted here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# import the modules\n",
    "import GPy\n",
    "import csv\n",
    "import sys\n",
    "import numpy as np\n",
    "import cPickle as pickle\n",
    "import scipy.stats as stats\n",
    "import sklearn.metrics as metrics\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "%matplotlib notebook"<commit_msg>[minor] remove loaded data for mrd exp<commit_after>{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Experiment 4: TRo Journal\n",
    "---\n",
    "\n",
    "Present predictive and modeling performance of using MRD for cloth state modeling through plots. An example MRD model is trained and various plots such as latent space, ard kernel scales and the test inference results are plotted here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# import the modules\n",
    "import GPy\n",
    "import csv\n",
    "import sys\n",
    "import numpy as np\n",
    "import cPickle as pickle\n",
    "import scipy.stats as stats\n",
    "import sklearn.metrics as metrics\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "%matplotlib notebook"
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{'dir': 'git-commits-cleaned', 'id': '4917235', 'n_tokens_mistral': 590, 'n_tokens_neox': 570, 'n_words': 191}