play.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data_cls validation set size 5314\n"
     ]
    }
   ],
   "source": [
    "# -*- coding: utf-8 -*-\n",
    "\"\"\"dna-classification-vcu.ipynb\n",
    "\n",
    "Automatically generated by Colaboratory.\n",
    "\n",
    "Original file is located at\n",
    "    https://colab.research.google.com/drive/13BLlKCJc5EiKMHP7KEH5hOXyLEIUdX02\n",
    "\n",
    "# DNA Multi Class Classification\n",
    "\"\"\"\n",
    "\n",
    "\n",
    "\"\"\"## Prepare Google Drive\"\"\"\n",
    "\n",
    "# Run this cell to mount your Google Drive.\n",
    "\n",
    "local_path = './'\n",
    "\n",
    "\"\"\"## Prepare fastai\"\"\"\n",
    "from fastai import *\n",
    "from fastai.text import *\n",
    "\n",
    "\"\"\"## Prepare Dataset\"\"\"\n",
    "\n",
    "local_project_path = local_path + 'dna-10class/'\n",
    "\n",
    "if not os.path.exists(local_project_path):\n",
    "  os.makedirs(local_project_path)\n",
    "  \n",
    "print('local_project_path:', local_project_path)\n",
    "\"\"\"## Create Language Model\"\"\"\n",
    "\n",
    "class dna_tokenizer(BaseTokenizer):\n",
    "  def tokenizer(slef, t):\n",
    "    return list(t)\n",
    "\n",
    "tokenizer = Tokenizer(tok_func=dna_tokenizer, pre_rules=[], post_rules=[], special_cases=[])\n",
    "processor = [TokenizeProcessor(tokenizer=tokenizer, include_bos= False, include_eos=False), NumericalizeProcessor(max_vocab=30000)]\n",
    "\n",
    "# batch size\n",
    "bs = 64\n",
    "\n",
    "data_lm = TextLMDataBunch.from_csv(local_project_path, 'combined.csv',\n",
    "                                   text_cols ='Text', valid_pct= 0.1, tokenizer=tokenizer,\n",
    "                                   include_bos= False, include_eos=False)\n",
    "# learn = language_model_learner(data_lm, AWD_LSTM, drop_mult=0.3, pretrained=False).to_fp16()\n",
    "# learn.load('lm-fine-tuned-10-6')\n",
    "# learn.save_encoder('lm-fine-tuned-10-6-encoder')\n",
    "\n",
    "\"\"\"## Create Classifier\"\"\"\n",
    "# data_cls = TextClasDataBunch.from_csv(local_project_path, 'combined_train.csv',\n",
    "#                                    text_cols ='Text', label_cols ='class', valid_pct= 0.1, tokenizer=tokenizer,\n",
    "#                                    include_bos= False, include_eos=False, vocab = data_lm.vocab)\n",
    "data_cls = (TextList.from_csv(local_project_path, 'combined.csv', cols='Text', vocab=data_lm.vocab, processor= processor)\n",
    "                   .split_from_df(col='is_test')\n",
    "                   .label_from_df(cols='class')\n",
    "                   .databunch(bs=bs))\n",
    "\n",
    "print('data_cls validation set size', len(data_cls.valid_ds))\n",
    "# data_cls.show_batch()\n",
    "\n",
    "learn_cls = text_classifier_learner(data_cls, AWD_LSTM, drop_mult=0.3, pretrained=False)#.to_fp16()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from fastai.metrics import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "learn_cls.load('fifth');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(Category 1.1.1.2, tensor(0), tensor([1.0000e+00, 5.5785e-12, 7.2571e-10, 2.2010e-10, 2.3871e-11, 2.1388e-10,\n",
      "        7.2346e-11, 1.3818e-08, 1.9142e-07, 8.8164e-09]))\n"
     ]
    }
   ],
   "source": [
    "dna_string = 'atggcagtggcaggtaaaaatgactttgcagttctcaacaccgggcggaagatgcctctccttgggctgggaacatggaagagtgaacctggcaaggttaaacaggcagtaatctgggccttgcaggctggctaccgccacttcgactgtgctgccatctatggcaacgagttggagatcggagaagctctgcaggagacacttggccctgacaaagccttgaggcgagaggatgtgtttatcacctccaagctgtggaacacacagcatcacccggaggatgtggagcccgctctgctgaagacactgaaggagctgagtctggaatacctggatctatacctcatccactggccctatgccttccaacaaggtgacgctcctttccccaaatcggaggacggcaccctgctgtacgacgacatcgactacaagctgacttgggctgccatggagaagctggtgggaaagggcctggtcagggctatcggcctgtccaacttcaacagcaaacagatagacaacgttctctccgtagccaacatcaaaccgactgtgcttcaggtggaaagccatccgtatctggctcaggtggagttgctgggacactgccgggacagaggcctggtgattacagcgtacagcccactggggtcaccggatcgggtatggaagcatcctgatgagcccgtcctcctggatgaagcagcaatcgacaccctggccaagaagtacaacaagtccccagcacaaatcatccttagatggcagacacagcgaggagtagtgacgatccctaaaagtgtgacagagtctcggatcaaagagaatattcaggtatttgactttacccttgaagcggaagagatgaagtgtataacagcattgaacagaggctggcgctacattgtaccaaccatcacagttgatgggaagcccgtccccagggatgcaggacatccacactaccccttcagtgacccctactga'\n",
    "res = learn_cls.predict(dna_string)\n",
    "print(res)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "interp = ClassificationInterpretation.from_learner(learn_cls)\n",
    "\n",
    "losses,idxs = interp.top_losses()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data_cls.valid_ds)==len(losses)==len(idxs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'ClassificationInterpretation' object has no attribute 'plot_top_losses'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-20-34fc804e24e7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0minterp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mplot_top_losses\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m9\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfigsize\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m15\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m11\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m: 'ClassificationInterpretation' object has no attribute 'plot_top_losses'"
     ]
    }
   ],
   "source": [
    "interp.plot_top_losses(9, figsize=(15,11))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1800x1800 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "interp.plot_confusion_matrix(figsize=(15,15), dpi=120)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('citrite_Si_synthase', 'steroid_Delta_isomerase', 7),\n",
       " ('1.1.1.4', 'alcohol_dehydrogenase', 3),\n",
       " ('nicotinamide_methyltransferase', 'steroid_Delta_isomerase', 3),\n",
       " ('1.1.1.3', 'alcohol_dehydrogenase', 2),\n",
       " ('1.1.1.3', 'steroid_Delta_isomerase', 2),\n",
       " ('citrite_Si_synthase', 'alcohol_dehydrogenase', 2),\n",
       " ('endopolygalacturonase', 'steroid_Delta_isomerase', 2)]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interp.most_confused(min_val=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0.015709482, tensor(0.9957)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "learn_cls.validate(metrics=[accuracy])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(tensor([7.5475, 7.3373, 6.3770,  ..., -0.0000, -0.0000, -0.0000]),\n",
       " tensor([4274, 1534,  598,  ..., 1372, 1371, 2656]))"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "interp.top_losses()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python3 (tf-env)",
   "language": "python",
   "name": "tf-env"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}