{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Iris Example\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\nfrom gtmx import GTMBase\nfrom sklearn.datasets import load_iris\n\n\niris = load_iris()\nx = iris.data\ny = iris.target\n\ngtm = GTMBase(l=1)\ngtm.fit(x, epoch=30)\ngtm.plot_llh()\ngtm.plot('mean', label=y)\ngtm.plot('mode', label=y)\n\nplt.show()"
      ]
    }
  ],
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      "name": "python3"
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      "file_extension": ".py",
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