{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Evaluate a bird song network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%config InlineBackend.figure_format = 'jpg'  # smaller mem footprint for page\n",
    "\n",
    "import zarr\n",
    "import librosa.feature, librosa.display\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import colorcet as cc\n",
    "import sklearn.metrics\n",
    "import scipy.stats\n",
    "from matplotlib.colors import ListedColormap\n",
    "\n",
    "import das.utils, das.utils_plot, das.predict, das.data, das.models, das.train, das.io, das.evaluate, das.segment_utils\n",
    "\n",
    "plt.style.use('ncb.mplstyle')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "savename = '../../../../dss.paper/sober/20200418_215107'\n",
    "params = das.utils.load_params(savename)\n",
    "store = zarr.open(savename + '.zarr')\n",
    "\n",
    "fs = 32_000  # Hz\n",
    "# sequence of ints - \"0\" if no song, >0 if syllable \n",
    "# labels_pred = store['labels_pred'][:fs * 500]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "save_name = '../../../../dss.paper/models/sober_allInd/20200418_215107'\n",
    "\n",
    "gap_dur = 5 / 1000  # 5 ms\n",
    "min_len = 30 / 1000  # 30 ms\n",
    "\n",
    "# x_test = store['x_test'][:]\n",
    "# events, segments, y_pred = das.predict.predict(x_test[:fs * 500], model_save_name=save_name, verbose=1, segment_minlen=min_len, segment_fillgap=gap_dur)\n",
    "# np.save('confidence_scores.npy', y_pred)\n",
    "\n",
    "y_pred = np.load('confidence_scores.npy')#[:1_000_000]\n",
    "\n",
    "labels_test = store['labels_test'][:y_pred.shape[0]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Predict syllable labels\n",
    "Based on majority vote"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get true syllable labels from predictions\n",
    "_, segments_pred = das.predict.predict_song(y_pred, params, \n",
    "                                            segment_minlen=min_len,\n",
    "                                            segment_fillgap=gap_dur)\n",
    "\n",
    "# get true syllable labels from training targets\n",
    "_, segments_test = das.predict.predict_song(labels_test, params,\n",
    "                                            segment_minlen=min_len,\n",
    "                                            segment_fillgap=gap_dur)\n",
    "\n",
    "# re-run, using the on- and offsets of predicted syllables as a reference for determining the \"true\" labels\n",
    "_, segments_test_pred = das.predict.predict_song(labels_test, params,\n",
    "                                            segment_ref_onsets=segments_pred['onsets_seconds'],\n",
    "                                            segment_ref_offsets=segments_pred['offsets_seconds'],\n",
    "                                            segment_minlen=min_len,\n",
    "                                            segment_fillgap=gap_dur)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels_pred = segments_pred['samples']\n",
    "labels_test = segments_test['samples']\n",
    "min_len = min(len(labels_test), len(labels_pred))\n",
    "\n",
    "labels_pred = labels_pred[:min_len]\n",
    "labels_test = labels_test[:min_len]\n",
    "\n",
    "syllable_true_pred = segments_test_pred['sequence']\n",
    "syllable_pred_pred = segments_pred['sequence']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Inspect data and predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/librosa/display.py:974: MatplotlibDeprecationWarning: The 'basey' parameter of __init__() has been renamed 'base' since Matplotlib 3.3; support for the old name will be dropped two minor releases later.\n",
      "  scaler(mode, **kwargs)\n",
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/librosa/display.py:974: MatplotlibDeprecationWarning: The 'linthreshy' parameter of __init__() has been renamed 'linthresh' since Matplotlib 3.3; support for the old name will be dropped two minor releases later.\n",
      "  scaler(mode, **kwargs)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1440x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "t0 = 532_000 \n",
    "t1 = t0 + 60_000\n",
    "\n",
    "x = store['x_test'][t0:t1,0]\n",
    "\n",
    "T = np.arange(len(x))/fs\n",
    "hop_length = 100\n",
    "specgram = librosa.feature.melspectrogram(x, sr=32_000, n_fft=512+256, hop_length=hop_length, power=1)\n",
    "specgram = librosa.amplitude_to_db(specgram, np.max)\n",
    "labels_all = np.stack((labels_pred[t0:t1].T, labels_test[t0:t1].T))\n",
    "labels_all = np.unique(labels_all, return_inverse=True)[1].reshape((2, -1))\n",
    "\n",
    "cmap = cc.palette['glasbey_light'][1::2]\n",
    "cmap = list(cmap)[:12]\n",
    "cmap.insert(0, (0.9, 0.9, 0.9))\n",
    "cmap = ListedColormap(cmap)\n",
    "\n",
    "plt.gcf().set_size_inches(20, 10)\n",
    "plt.subplot(913)\n",
    "plt.plot(T, x, c='k', linewidth=0.5)\n",
    "plt.axis('tight')\n",
    "das.utils_plot.scalebar(.1, units='seconds', location='center left',\n",
    "                        font_properties={'size': 7})\n",
    "das.utils_plot.remove_axes(all=True)\n",
    "\n",
    "\n",
    "ax = plt.subplot(312)\n",
    "im = librosa.display.specshow(specgram, \n",
    "                            sr=32_000, hop_length=hop_length, y_axis='mel', x_axis='s', \n",
    "                            cmap=ListedColormap(list((cc.CET_L17))))\n",
    "freqs = 1000 * 2.0 ** np.arange(-1, 4)\n",
    "plt.yticks(freqs, freqs/1000)\n",
    "plt.ylim(300)\n",
    "plt.ylabel('Frequency [kHz]')\n",
    "plt.clim(-70, 0)\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "plt.xticks(())\n",
    "plt.xlabel(None)\n",
    "\n",
    "ax = plt.subplot(18,1, 13)\n",
    "plt.imshow(labels_all, cmap=cmap)\n",
    "plt.axhline(0.5, c='k', alpha=0.1)\n",
    "plt.yticks((0, 1), labels=['Manual', 'DAS']);\n",
    "ax.spines['bottom'].set_visible(False)\n",
    "plt.xticks(())\n",
    "das.utils_plot.remove_axes()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Performance metrics\n",
    "### Sample-wise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       0.96      0.96      0.96      8218\n",
      "           2       0.99      0.99      0.99     51073\n",
      "           3       0.96      0.98      0.97     10210\n",
      "           4       1.00      0.98      0.99      3193\n",
      "           5       0.99      0.99      0.99     44374\n",
      "           6       0.93      0.80      0.86      4208\n",
      "           7       0.00      0.00      0.00         0\n",
      "           8       0.00      0.00      0.00         0\n",
      "           9       0.98      0.98      0.98     29245\n",
      "          10       0.00      0.00      0.00         0\n",
      "          11       0.00      0.00      0.00         0\n",
      "          12       0.00      0.00      0.00         0\n",
      "          13       0.00      0.00      0.00         0\n",
      "          14       0.96      0.99      0.98      4086\n",
      "          15       0.93      0.99      0.96      3850\n",
      "          16       0.99      0.99      0.99      6240\n",
      "          17       0.99      1.00      0.99      7110\n",
      "          18       0.99      0.99      0.99     13206\n",
      "          19       1.00      0.99      1.00      8681\n",
      "          20       0.99      0.99      0.99      4639\n",
      "          21       0.99      0.98      0.98      4200\n",
      "          22       0.98      0.99      0.98     32180\n",
      "          23       1.00      0.99      0.99      7387\n",
      "          24       0.99      0.99      0.99      9382\n",
      "          25       0.00      0.00      0.00         0\n",
      "          26       0.00      0.00      0.00       250\n",
      "          27       0.98      0.87      0.92     15947\n",
      "          28       0.70      0.94      0.80      4453\n",
      "          29       0.99      1.00      0.99     42700\n",
      "          30       0.98      0.99      0.99     19302\n",
      "          31       0.98      0.98      0.98     17294\n",
      "          32       0.99      0.99      0.99      9594\n",
      "          33       1.00      1.00      1.00     22416\n",
      "          34       0.00      0.00      0.00         0\n",
      "          35       0.98      0.89      0.93     41048\n",
      "          36       0.92      0.98      0.95      8352\n",
      "          37       0.99      0.99      0.99      6309\n",
      "          38       0.83      0.95      0.89     11832\n",
      "          39       0.00      0.00      0.00         0\n",
      "          40       0.99      0.98      0.99     25383\n",
      "          41       0.99      0.99      0.99     32669\n",
      "          42       1.00      0.99      1.00     19420\n",
      "          43       1.00      0.99      0.99      9953\n",
      "          44       1.00      0.99      0.99     12093\n",
      "          45       0.98      0.98      0.98      4405\n",
      "          46       0.97      0.92      0.95      2842\n",
      "          47       0.00      0.00      0.00         0\n",
      "          48       0.98      0.96      0.97     28921\n",
      "          49       0.00      0.00      0.00         0\n",
      "\n",
      "   micro avg       0.98      0.97      0.98    586665\n",
      "   macro avg       0.73      0.73      0.73    586665\n",
      "weighted avg       0.98      0.97      0.98    586665\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    }
   ],
   "source": [
    "cr = sklearn.metrics.classification_report(labels_test[::10], labels_pred[::10], \n",
    "                                           output_dict=False,\n",
    "                                           labels=np.arange(1, 50))\n",
    "print(cr)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Syllable labels"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/ipykernel_launcher.py:18: RuntimeWarning: divide by zero encountered in log2\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 612x144 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Micro avg 0.9632938342579566\n",
      "Global avg 0.9915025106218617\n",
      "(38, 38)\n",
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.00      0.00      0.00         0\n",
      "           1       0.97      0.98      0.98        63\n",
      "           2       1.00      0.99      1.00       363\n",
      "           3       1.00      1.00      1.00        47\n",
      "           4       1.00      1.00      1.00        14\n",
      "           5       1.00      1.00      1.00       217\n",
      "           6       1.00      1.00      1.00        28\n",
      "           9       0.98      1.00      0.99       118\n",
      "          14       1.00      1.00      1.00        35\n",
      "          15       1.00      1.00      1.00        35\n",
      "          16       1.00      1.00      1.00        35\n",
      "          17       1.00      1.00      1.00        35\n",
      "          18       1.00      1.00      1.00        70\n",
      "          19       1.00      1.00      1.00        35\n",
      "          20       1.00      1.00      1.00        34\n",
      "          21       1.00      1.00      1.00        34\n",
      "          22       0.99      1.00      1.00       114\n",
      "          23       1.00      1.00      1.00        34\n",
      "          24       1.00      1.00      1.00        33\n",
      "          27       1.00      1.00      1.00        40\n",
      "          28       1.00      1.00      1.00        29\n",
      "          29       1.00      1.00      1.00        82\n",
      "          30       0.99      1.00      0.99        81\n",
      "          31       1.00      0.99      0.99        72\n",
      "          32       1.00      1.00      1.00        43\n",
      "          33       1.00      1.00      1.00        43\n",
      "          35       0.99      0.93      0.96       176\n",
      "          36       0.93      1.00      0.96        40\n",
      "          37       1.00      1.00      1.00        38\n",
      "          38       0.77      0.96      0.86        28\n",
      "          40       1.00      1.00      1.00       131\n",
      "          41       0.99      1.00      1.00       117\n",
      "          42       1.00      1.00      1.00        55\n",
      "          43       1.00      1.00      1.00        48\n",
      "          44       1.00      1.00      1.00        31\n",
      "          45       1.00      1.00      1.00        31\n",
      "          46       1.00      0.94      0.97        17\n",
      "          48       0.99      0.99      0.99       142\n",
      "\n",
      "    accuracy                           0.99      2588\n",
      "   macro avg       0.96      0.97      0.97      2588\n",
      "weighted avg       0.99      0.99      0.99      2588\n",
      "\n",
      "FN rate (%)  0.07722007722007722 0.03861003861003861\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n",
      "/Users/clemens10/miniconda3/lib/python3.7/site-packages/sklearn/metrics/_classification.py:1248: UndefinedMetricWarning: Recall and F-score are ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.\n",
      "  _warn_prf(average, modifier, msg_start, len(result))\n"
     ]
    }
   ],
   "source": [
    "conf_mat_pred = sklearn.metrics.confusion_matrix(syllable_true_pred[syllable_true_pred!=26],\n",
    "                            syllable_pred_pred[syllable_true_pred!=26],\n",
    "                            labels=np.arange(0, 50))\n",
    "# remove syllables not in the test set\n",
    "good_sylls = np.sum(conf_mat_pred, axis=0)>1\n",
    "good_sylls[0] = True  # include 0 to depict false positives and false negatives\n",
    "conf_mat_pred = conf_mat_pred[good_sylls,:]\n",
    "conf_mat_pred = conf_mat_pred[:, good_sylls]\n",
    "\n",
    "plt.gcf().set_size_inches(8.5, 2)\n",
    "plt.subplot(131)\n",
    "plt.imshow(conf_mat_pred / np.sum(conf_mat_pred, axis=0), cmap='gray_r')\n",
    "plt.colorbar()\n",
    "plt.ylabel('Manual')\n",
    "plt.xlabel('DAS')\n",
    "\n",
    "plt.subplot(132)\n",
    "plt.imshow(np.log2(conf_mat_pred / np.sum(conf_mat_pred, axis=0)), cmap='gray_r')\n",
    "plt.colorbar()\n",
    "plt.title('Log scaled')\n",
    "plt.show()\n",
    "\n",
    "print('Micro avg', np.nanmean(np.diag(conf_mat_pred / np.nansum(conf_mat_pred, axis=0))))\n",
    "print('Global avg', np.nansum(np.diag(conf_mat_pred)) / np.nansum(conf_mat_pred))\n",
    "print(conf_mat_pred.shape)\n",
    "\n",
    "# syllable \"26\" is mislabelled\n",
    "syllable_true_pred[syllable_true_pred==26] = 0\n",
    "syllable_pred_pred[syllable_true_pred==26] = 0\n",
    "\n",
    "cr = sklearn.metrics.classification_report(syllable_true_pred[syllable_true_pred>0], \n",
    "                                           syllable_pred_pred[syllable_true_pred>0],\n",
    "                                           output_dict=False)\n",
    "print(cr)\n",
    "print('FN rate (%) ', 100*np.mean(syllable_true_pred==0), 100*np.mean(syllable_pred_pred==0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Timing of syllable on- and offsets "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'OFFSETS:'}\n",
      "   FP 32, TP 2558, FN 26\n",
      "   precision 0.99, recall 0.99, f1-score 0.99\n",
      "   jitter: mean 0.74 ms, median 0.47 ms, 95th percentile 2.44 ms\n",
      "   jitter full: mean 3.10 ms, median 0.47 ms, 95th percentile 2.77 ms\n",
      "{'ONSETS:'}\n",
      "   FP 32, TP 2558, FN 26\n",
      "   precision 0.99, recall 0.99, f1-score 0.99\n",
      "   jitter: mean 0.43 ms, median 0.22 ms, 95th percentile 1.41 ms\n",
      "   jitter full: mean 2.86 ms, median 0.22 ms, 95th percentile 1.66 ms\n",
      "jitter all full: mean 2.98 ms, median 0.31 ms, 95th percentile 2.44 ms\n"
     ]
    },
    {
     "data": {
      "image/jpeg": 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      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tol = 0.01  # seconds\n",
    "nn_dist_all = np.zeros((0,))\n",
    "\n",
    "for ii in range(2):\n",
    "    if ii==1:\n",
    "        times_test = segments_test['onsets_seconds']  # event_onsets_true\n",
    "        times_pred = segments_pred['onsets_seconds']  # event_onsets_pred\n",
    "        print({\"ONSETS:\"})\n",
    "    else:\n",
    "        times_test = segments_test['offsets_seconds']  # event_offsets_true\n",
    "        times_pred = segments_pred['offsets_seconds']  # event_offsets_pred\n",
    "        print({\"OFFSETS:\"})\n",
    "\n",
    "    d, nn_pred_pulse, nn_true_pulse, nn_dist = das.event_utils.evaluate_eventtimes(times_test, times_pred, fs, tol)\n",
    "    \n",
    "    print(f\"   FP {d['FP']}, TP {d['TP']}, FN {d['FN']}\")\n",
    "    print(f\"   precision {d['precision']:1.2f}, recall {d['recall']:1.2f}, f1-score {d['f1_score']:1.2f}\")\n",
    "    print(f'   jitter: mean {np.mean(nn_dist[nn_dist<tol]) * 1000:1.2f} ms, median {np.median(nn_dist[nn_dist<tol]) * 1000 :1.2f} ms, 95th percentile {np.percentile(nn_dist[nn_dist<tol], 95) * 1000 :1.2f} ms')\n",
    "    print(f'   jitter full: mean {np.mean(nn_dist) * 1000:1.2f} ms, median {np.median(nn_dist) * 1000 :1.2f} ms, 95th percentile {np.percentile(nn_dist, 95) * 1000 :1.2f} ms')\n",
    "    \n",
    "    nn_dist_all = np.concatenate((nn_dist_all, nn_dist))\n",
    "print(f'jitter all full: mean {np.mean(nn_dist_all) * 1000:1.2f} ms, median {np.median(nn_dist_all) * 1000 :1.2f} ms, 95th percentile {np.percentile(nn_dist_all, 95) * 1000 :1.2f} ms')\n",
    "\n",
    "plt.hist(nn_dist_all * 1000, bins=np.linspace(0, 4, 50), density=True, color=[0, .67, 0, 0.25])\n",
    "plt.axvline(np.median(nn_dist_all * 1000), color='green', label='Median')\n",
    "plt.xlabel('Temporal error [ms]')\n",
    "plt.ylabel('PDF');\n",
    "plt.xlim(0, 4)\n",
    "plt.xticks(np.arange(0, 4))\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
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