diff --git "a/notebooks/Model_Exploration.ipynb" "b/notebooks/Model_Exploration.ipynb" deleted file mode 100644--- "a/notebooks/Model_Exploration.ipynb" +++ /dev/null @@ -1,1777 +0,0 @@ -{ - "cells": [ - { - "metadata": {}, - "cell_type": "markdown", - "source": [ - "## Exploring Fast model\n", - "\n", - "\n", - "\n", - "---\n", - "### Summary\n", - "\n", - "This notebook focuses on evaluating and analyzing a fast model's performance for audio classification. Key topics addressed are:\n", - "1. **Feature Importance**: Understanding the relevance of cepstral and spectral features in distinguishing audio classes.\n", - "2. **Misclassifications**: Reviewing wrong predictions (e.g., 24kHz vs. 12kHz) through listening and statistical evaluation.\n", - "3. **Cepstral Spectrum Analysis**: Replotting and studying cepstral spectra for better insights.\n", - "4. **ROC Curve and Metrics**: Comparing two model variants, analyzing accuracy at specific thresholds.\n", - "5. **Learning Curves**: Observing how accuracy evolves with increasing training samples.\n", - "6. **Environmental Impact**: Measuring CO2 emissions of the model's inference process.\n", - "7. **Audio Durations**: Analyzing the effect of audio length on accuracy and emissions.\n", - "8. **False Positives**: Exploring misclassified samples to diagnose model weaknesses.\n", - "\n", - "---\n", - "The model has been tuned on validation dataset (last 20% of the train dataset). Here a Notebook to see the actual metrics on the test set, never used for any tuning.\n", - "\n", - "---\n", - "### Imoportant observation for the deployment in real world\n", - "It has been observed that downsampling from 12kHz to 3kHz can be achieved with almost no loss in accuracy (only a 0.3% reduction). However, this approach was not selected for the final model as the downsampling process is time-consuming. Since the goal of the challenge is to optimize energy consumption, I did not implement it. Nevertheless, this idea is highly interesting for deployment, as it would require 4 times less data without degrading the results!" - ], - "id": "d0cfb0b6336d4a4e" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:00:49.518745Z", - "start_time": "2025-01-31T14:00:42.795685Z" - } - }, - "cell_type": "code", - "source": [ - "import time\n", - "from codecarbon import EmissionsTracker\n", - "from datasets import load_dataset\n", - "import torch\n", - "from sklearn.metrics import accuracy_score\n", - "import numpy as np\n", - "from fast_model import FastModel" - ], - "id": "a6e84cc7662d8ea8", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/tlemagueresse/Documents/07_Perso/all_envs_perso/frugalai_sub_3_11/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - } - ], - "execution_count": 1 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "## Parameters", - "id": "33e83e6fdc9483f8" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:00:49.538370Z", - "start_time": "2025-01-31T14:00:49.530114Z" - } - }, - "cell_type": "code", - "source": [ - "lgbm_params = {\n", - " \"objective\": \"binary\",\n", - " \"metric\": \"binary_logloss\",\n", - " \"boosting_type\": \"gbdt\",\n", - " \"learning_rate\": 0.1,\n", - " \"num_leaves\": 75,\n", - " \"max_depth\": -1,\n", - " \"feature_fraction\": 0.8,\n", - " \"bagging_fraction\": 0.8,\n", - " \"bagging_freq\": 5,\n", - " \"verbosity\": -1,\n", - " # \"device_type\": \"gpu\",\n", - "}\n", - "\n", - "feature_params = {\n", - " \"n_fft\": 512,\n", - " \"hop_length\": 256,\n", - " \"pad\": 0,\n", - " \"win_spectrogram\": torch.hamming_window,\n", - " \"win_cepstral\": torch.hamming_window,\n", - " \"power\": 2,\n", - " \"pad_mode\": \"reflect\",\n", - " \"f_min\": 70,\n", - " \"f_max\": 1525,\n", - " \"fc_min\": 0.05,\n", - " \"fc_max\": 0.8,\n", - "}\n", - "padding_method = \"reflect\"\n", - "model = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=padding_method,\n", - " device=\"cpu\",\n", - " mask_file=\"mask.pkl\",\n", - " mask_features=False,\n", - " mask_ratio=0.25,\n", - " waveform_duration=3,\n", - " apply_offset_on_fit=False,\n", - ")" - ], - "id": "27896142099dd1fa", - "outputs": [], - "execution_count": 2 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": [ - "## Data loading\n", - "\n", - "For this study, use the 5000th samples." - ], - "id": "aa2d21de2af860d3" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:00:50.058181Z", - "start_time": "2025-01-31T14:00:49.700898Z" - } - }, - "cell_type": "code", - "source": [ - "dataset = load_dataset(\"rfcx/frugalai\")\n", - "train_dataset = dataset[\"train\"]\n", - "test_dataset = dataset[\"test\"]\n", - "true_label = test_dataset[\"label\"]\n", - "y_train = train_dataset[\"label\"]" - ], - "id": "bee5ee4b92bb2166", - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Using the latest cached version of the dataset since rfcx/frugalai couldn't be found on the Hugging Face Hub\n", - "Found the latest cached dataset configuration 'default' at /home/tlemagueresse/.cache/huggingface/datasets/rfcx___frugalai/default/0.0.0/a14fd5b7a22d5c03781db9e270162d946a49a99e (last modified on Fri Jan 24 14:21:40 2025).\n" - ] - } - ], - "execution_count": 3 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": [ - "## Features\n", - "Plot and separate the two classes" - ], - "id": "7cdd786d0f31a51c" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:00:52.488493Z", - "start_time": "2025-01-31T14:00:50.072153Z" - } - }, - "cell_type": "code", - "source": [ - "from frugalai.fast_model import batch_audio_loader\n", - "\n", - "audios, label = next(\n", - " batch_audio_loader(\n", - " train_dataset,\n", - " waveform_duration=1,\n", - " batch_size=5000,\n", - " device=\"cpu\",\n", - " padding_method=\"reflect\",\n", - " )\n", - ")\n", - "features = model.get_features(audios, model.spectrogram_transformer, model.cepstral_transformer)\n", - "features = features.cpu().numpy()" - ], - "id": "6ad6bb951c91cb2e", - "outputs": [], - "execution_count": 4 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:00:52.528979Z", - "start_time": "2025-01-31T14:00:52.518203Z" - } - }, - "cell_type": "code", - "source": "features.shape", - "id": "69e297525012d5b7", - "outputs": [ - { - "data": { - "text/plain": [ - "(5000, 281)" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 5 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:00:52.607628Z", - "start_time": "2025-01-31T14:00:52.597840Z" - } - }, - "cell_type": "code", - "source": [ - "from sklearn.preprocessing import MinMaxScaler\n", - "import numpy as np\n", - "\n", - "scaler = MinMaxScaler()\n", - "features_std = scaler.fit_transform(features)\n", - "\n", - "features_0 = features_std[np.array(label) == 0, :]\n", - "features_1 = features_std[np.array(label) == 1, :]\n", - "\n", - "mean_0 = features_0.mean(axis=0)\n", - "mean_1 = features_1.mean(axis=0)" - ], - "id": "329de226108bf5ad", - "outputs": [], - "execution_count": 6 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:00:53.290219Z", - "start_time": "2025-01-31T14:00:52.662343Z" - } - }, - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "n_fft_cepstral = (model.ind_cf_filtered).sum()\n", - "\n", - "percentiles_0 = np.percentile(features_0, [25, 75], axis=0)\n", - "percentiles_1 = np.percentile(features_1, [25, 75], axis=0)\n", - "\n", - "x_axis_group1 = np.arange(0, n_fft_cepstral)\n", - "x_axis_group2 = np.arange(n_fft_cepstral, features_std.shape[1])\n", - "\n", - "mean_group1_0 = mean_0[:n_fft_cepstral]\n", - "percentiles_group1_0 = percentiles_0[:, :n_fft_cepstral]\n", - "mean_group1_1 = mean_1[:n_fft_cepstral]\n", - "percentiles_group1_1 = percentiles_1[:, :n_fft_cepstral]\n", - "\n", - "mean_group2_0 = mean_0[n_fft_cepstral:]\n", - "percentiles_group2_0 = percentiles_0[:, n_fft_cepstral:]\n", - "mean_group2_1 = mean_1[n_fft_cepstral:]\n", - "percentiles_group2_1 = percentiles_1[:, n_fft_cepstral:]\n", - "\n", - "fig, ax1 = plt.subplots(figsize=(10, 6))\n", - "ax1.plot(x_axis_group1, mean_group1_0, label=\"Chainsaw (Cesptral)\", color=\"blue\")\n", - "ax1.plot(x_axis_group1, mean_group1_1, label=\"Environment (Sepectral)\", color=\"orange\")\n", - "ax1.fill_between(\n", - " x_axis_group1, percentiles_group1_0[0], percentiles_group1_0[1], alpha=0.2, color=\"blue\"\n", - ")\n", - "ax1.fill_between(\n", - " x_axis_group1, percentiles_group1_1[0], percentiles_group1_1[1], alpha=0.2, color=\"orange\"\n", - ")\n", - "ax1.set_xlabel(\"Feature Indices\")\n", - "ax1.set_ylabel(\"Scaled cesptral mag.\", color=\"blue\")\n", - "ax1.tick_params(axis=\"y\", labelcolor=\"blue\")\n", - "ax2 = ax1.twinx()\n", - "ax2.plot(x_axis_group2, mean_group2_0, label=\"Chainsaw (Cesptral)\", color=\"green\")\n", - "ax2.plot(x_axis_group2, mean_group2_1, label=\"Environment (Sepectral)\", color=\"red\")\n", - "ax2.fill_between(\n", - " x_axis_group2, percentiles_group2_0[0], percentiles_group2_0[1], alpha=0.2, color=\"green\"\n", - ")\n", - "ax2.fill_between(\n", - " x_axis_group2, percentiles_group2_1[0], percentiles_group2_1[1], alpha=0.2, color=\"red\"\n", - ")\n", - "ax2.set_ylabel(\"Scaled spectral mag.\", color=\"green\")\n", - "ax2.tick_params(axis=\"y\", labelcolor=\"green\")\n", - "\n", - "fig.suptitle(\"Trained Features\")\n", - "fig.tight_layout()\n", - "ax1.legend(loc=\"upper left\")\n", - "ax2.legend(loc=\"upper right\")\n", - "plt.show()" - ], - "id": "bb6ed914349d0f6e", - "outputs": [ - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 7 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "## Fast Model", - "id": "60d62cbd67050ad3" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:01:23.952642Z", - "start_time": "2025-01-31T14:00:53.338942Z" - } - }, - "cell_type": "code", - "source": "model.fit(train_dataset)", - "id": "a822e03db5bb70c9", - "outputs": [], - "execution_count": 8 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:01:37.830580Z", - "start_time": "2025-01-31T14:01:23.962482Z" - } - }, - "cell_type": "code", - "source": "y_pred = model.predict(test_dataset)", - "id": "8a6f39781ecc5d70", - "outputs": [], - "execution_count": 9 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:01:37.908945Z", - "start_time": "2025-01-31T14:01:37.900520Z" - } - }, - "cell_type": "code", - "source": "print(accuracy_score(true_label, y_pred))", - "id": "39f04515018fb320", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9501984126984127\n" - ] - } - ], - "execution_count": 10 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": [ - "## Features importance\n", - "May we filter out some features?" - ], - "id": "e388340974f129e9" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:01:39.010753Z", - "start_time": "2025-01-31T14:01:37.949976Z" - } - }, - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import lightgbm as lgb\n", - "import torch\n", - "\n", - "model_lgb = lgb.Booster(model_file=\"analysis.txt\")\n", - "importance = model_lgb.feature_importance(importance_type=\"gain\")\n", - "\n", - "real_cepstral_x = model.cf[model.ind_cf_filtered]\n", - "real_cepstral_x = (real_cepstral_x.numpy() * 1e3).astype(int)\n", - "cepstral_labels = [f\"{x} ms\" for x in real_cepstral_x]\n", - "frequencies = model.f\n", - "frequency_labels = [f\"{np.round(f, decimals=0)} Hz\" for f in frequencies]\n", - "x_labels = cepstral_labels + frequency_labels\n", - "\n", - "plt.figure(figsize=(10, 6))\n", - "plt.bar(range(len(importance)), importance, align=\"center\")\n", - "plt.xticks(range(0, len(importance), 5), x_labels[::5], rotation=45, fontsize=8)\n", - "plt.xlabel(\"Features names\")\n", - "plt.ylabel(\"Importance\")\n", - "plt.title(\"Feature Importance of LightGBM Model\")\n", - "plt.axvline(\n", - " x=n_fft_cepstral, color=\"black\", linestyle=\"dotted\", label=\"Separation (cepstrum/spectrum)\"\n", - ")\n", - "plt.legend()\n", - "plt.tight_layout()\n", - "plt.show()" - ], - "id": "b37daf4e043486ee", - "outputs": [ - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 11 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": [ - "Here is the confirmation of the intuition from the EDA: the cepstrum plays a crucial role in effectively distinguishing between the two classes.\n", - "\n", - "REMARK : the cepstral vector (xaxis) is not correct, see EDA for rigourous numbers of quefrencies (tonal at ~8 ms)" - ], - "id": "e79ebb4821669e36" - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "## Model with selected features", - "id": "c80595645e4fac24" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:01:39.396059Z", - "start_time": "2025-01-31T14:01:39.392107Z" - } - }, - "cell_type": "code", - "source": [ - "mask_features = importance > 2000\n", - "print(mask_features.sum())" - ], - "id": "14699daa1769268c", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "13\n" - ] - } - ], - "execution_count": 12 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:01:39.461543Z", - "start_time": "2025-01-31T14:01:39.456561Z" - } - }, - "cell_type": "code", - "source": [ - "sorted_indices = np.argsort(importance)[::-1]\n", - "sorted_importance = importance[sorted_indices]\n", - "sorted_labels = np.array(x_labels)[sorted_indices][:10]\n", - "\n", - "for label, imp in zip(sorted_labels, sorted_importance):\n", - " print(f\"{label}: {imp}\")" - ], - "id": "1c566aeff0b7f1bf", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "349 ms: 63548.16952228546\n", - "380 ms: 27641.633113980293\n", - "476 ms: 8950.652832508087\n", - "285 ms: 5930.677696824074\n", - "317 ms: 5810.895815849304\n", - "444 ms: 5377.765936136246\n", - "539 ms: 4055.6885817050934\n", - "63 ms: 4026.7607231140137\n", - "539.0 Hz: 3312.5722513198853\n", - "222 ms: 2720.1217324733734\n" - ] - } - ], - "execution_count": 13 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:02:00.132713Z", - "start_time": "2025-01-31T14:01:39.509274Z" - } - }, - "cell_type": "code", - "source": [ - "model = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=padding_method,\n", - " device=\"cpu\",\n", - " mask_file=\"mask.pkl\",\n", - " mask_features=True,\n", - " waveform_duration=1,\n", - " mask_ratio=0.25,\n", - ")\n", - "model.fit(train_dataset)\n", - "y_pred = model.predict(test_dataset)\n", - "print(accuracy_score(true_label, y_pred))" - ], - "id": "6291a5772e356354", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9357804232804233\n" - ] - } - ], - "execution_count": 14 - }, - { - "metadata": {}, - "cell_type": "code", - "source": [ - "ratios = np.linspace(0.01, 1, 20)\n", - "accuracies_test = []\n", - "accuracies_train = []\n", - "num_features = []\n", - "\n", - "for ratio in ratios:\n", - " model = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=padding_method,\n", - " device=\"cpu\",\n", - " mask_file=\"mask.pkl\",\n", - " mask_features=True,\n", - " mask_ratio=ratio,\n", - " waveform_duration=1,\n", - " )\n", - " model.fit(train_dataset)\n", - " y_pred_test = model.predict(test_dataset)\n", - " accuracies_test.append(accuracy_score(true_label, y_pred_test))\n", - "\n", - " # Prédictions sur le train set\n", - " y_pred_train = model.predict(train_dataset)\n", - " accuracies_train.append(accuracy_score(y_train, y_pred_train))" - ], - "id": "1a33fab0a0c401a2", - "outputs": [], - "execution_count": null - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T13:59:36.944704752Z", - "start_time": "2025-01-29T18:45:47.475696Z" - } - }, - "cell_type": "code", - "source": [ - "# Tracer les résultats\n", - "plt.figure(figsize=(10, 6))\n", - "plt.plot(ratios, accuracies_test, marker=\"o\", label=\"Test Accuracy\")\n", - "plt.plot(ratios, accuracies_train, marker=\"o\", label=\"Train Accuracy\", linestyle=\"--\")\n", - "plt.axhline(y=0.9, color=\"black\", linestyle=\"--\", label=\"Target Accuracy (90%)\")\n", - "plt.xlabel(\"Number of Features\")\n", - "plt.ylabel(\"Accuracy\")\n", - "plt.title(\"Accuracy (Train & Test) vs. Number of Features\")\n", - "plt.legend()\n", - "plt.grid()\n", - "plt.show()" - ], - "id": "63aa22e018515e7f", - "outputs": [ - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 38 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": [ - "# Filtering out spectral features\n", - "What if only cepstral features are kept?" - ], - "id": "ba95f2245dadd1fa" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:02:15.437243Z", - "start_time": "2025-01-31T14:02:15.433736Z" - } - }, - "cell_type": "code", - "source": "mask = np.zeros(len(importance), dtype=bool)", - "id": "25bb6b6574a22c12", - "outputs": [], - "execution_count": 15 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:02:15.961832Z", - "start_time": "2025-01-31T14:02:15.959505Z" - } - }, - "cell_type": "code", - "source": [ - "import pickle\n", - "mask[:n_fft_cepstral]=True" - ], - "id": "b1c349b1b0a4509", - "outputs": [], - "execution_count": 16 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:02:16.540318Z", - "start_time": "2025-01-31T14:02:16.528275Z" - } - }, - "cell_type": "code", - "source": [ - "model = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=padding_method,\n", - " device=\"cpu\",\n", - " mask_features=False,\n", - " waveform_duration=3,\n", - ")" - ], - "id": "63821380c26adf25", - "outputs": [], - "execution_count": 17 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:04:30.809352Z", - "start_time": "2025-01-31T14:04:08.405615Z" - } - }, - "cell_type": "code", - "source": [ - "features, labels = [], []\n", - "for audio, label in batch_audio_loader(\n", - " train_dataset,\n", - " waveform_duration=3,\n", - " batch_size=model.batch_size,\n", - " padding_method=model.padding_method,\n", - " offset=0,\n", - "):\n", - " feature = model.get_features(\n", - " audio, model.spectrogram_transformer, model.cepstral_transformer\n", - " )\n", - " features.append(feature)\n", - " labels.extend(label)\n", - "x_train = torch.cat(features, dim=0)[:, mask]\n", - "train_data = lgb.Dataset(x_train.cpu(), label=labels)\n", - "model_lgbm = lgb.train(model.lgbm_params, train_data)\n", - "\n", - "# TEST\n", - "features = []\n", - "for audio, _ in batch_audio_loader(\n", - " test_dataset,\n", - " waveform_duration=3,\n", - " batch_size=model.batch_size,\n", - " padding_method=model.padding_method,\n", - "):\n", - " feature = model.get_features(\n", - " audio, model.spectrogram_transformer, model.cepstral_transformer\n", - " )\n", - " features.append(feature)\n", - "features = torch.cat(features, dim=0)[:,mask]\n", - "y_score = model_lgbm.predict(features.cpu())\n", - "y_pred_with_cepstral = (y_score >= 0.5).astype(int)" - ], - "id": "ca7983665f5cb930", - "outputs": [], - "execution_count": 20 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:04:30.872962Z", - "start_time": "2025-01-31T14:04:30.867764Z" - } - }, - "cell_type": "code", - "source": "print(accuracy_score(true_label, y_pred_with_cepstral))", - "id": "848cf90741230f85", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9296296296296296\n" - ] - } - ], - "execution_count": 21 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "We lose a significant amount of accuracy (0.95 -> 0.93). However, since all spectral features have been removed, we could include them up to at least 1500 Hz if we decide to downsample the signal.", - "id": "333677d74a829f23" - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": [ - "# Filtering out only high freq. spectral features\n", - "The idea is to simulate the downsampling @ 3kHz -> /4 the sampling freq." - ], - "id": "541b9b3649cee2c8" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T14:07:43.563939Z", - "start_time": "2025-01-31T14:07:21.516011Z" - } - }, - "cell_type": "code", - "source": [ - "mask = np.zeros(len(importance), dtype=bool)\n", - "import pickle\n", - "\n", - "mask[:n_fft_cepstral+len(frequency_labels)//4] = True\n", - "model = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=padding_method,\n", - " device=\"cpu\",\n", - " mask_features=False,\n", - " waveform_duration=3,\n", - ")\n", - "features, labels = [], []\n", - "for audio, label in batch_audio_loader(\n", - " train_dataset,\n", - " waveform_duration=3,\n", - " batch_size=model.batch_size,\n", - " padding_method=model.padding_method,\n", - " offset=0,\n", - "):\n", - " feature = model.get_features(\n", - " audio, model.spectrogram_transformer, model.cepstral_transformer\n", - " )\n", - " features.append(feature)\n", - " labels.extend(label)\n", - "x_train = torch.cat(features, dim=0)[:, mask]\n", - "train_data = lgb.Dataset(x_train.cpu(), label=labels)\n", - "model_lgbm = lgb.train(model.lgbm_params, train_data)\n", - "\n", - "# TEST\n", - "features = []\n", - "for audio, _ in batch_audio_loader(\n", - " test_dataset,\n", - " waveform_duration=3,\n", - " batch_size=model.batch_size,\n", - " padding_method=model.padding_method,\n", - "):\n", - " feature = model.get_features(\n", - " audio, model.spectrogram_transformer, model.cepstral_transformer\n", - " )\n", - " features.append(feature)\n", - "features = torch.cat(features, dim=0)[:, mask]\n", - "y_score = model_lgbm.predict(features.cpu())\n", - "y_pred_with_cepstral = (y_score >= 0.5).astype(int)\n", - "print(accuracy_score(true_label, y_pred_with_cepstral))" - ], - "id": "4277a3ac2e986512", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9476190476190476\n" - ] - } - ], - "execution_count": 23 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": [ - "We observe a very slight reduction of approximately 0.3% (0.95->0.947) in accuracy when limiting the features to only cepstral ones combined with spectral features up to 1500Hz.\n", - "This observation is an important consideration for designing the recording device, as excellent results can be achieved by downsampling the signal by a factor of 4. Such an adjustment could be highly beneficial for real-world applications, aligning well with the model's requirements.\n", - "However, this approach was not selected for the final model because the downsampling process is time-consuming. Since the primary goal of this challenge is to minimize energy consumption, I chose not to downsample the signal." - ], - "id": "43e3c01129e04976" - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "## Model with small amount of samples", - "id": "1de6873818bc7b0a" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T04:42:20.608733437Z", - "start_time": "2025-01-29T19:31:14.477734Z" - } - }, - "cell_type": "code", - "source": [ - "import os\n", - "from codecarbon import EmissionsTracker\n", - "\n", - "tracker = EmissionsTracker(allow_multiple_runs=True)\n", - "true_label = test_dataset[\"label\"]\n", - "waveform_durations = [0.5, 1, 1.5, 2, 2.5, 3]\n", - "accuracies, emissions = [], []\n", - "model_file = \"analysis.txt\"\n", - "for waveform_duration in waveform_durations:\n", - " print(waveform_duration)\n", - " tracker.start()\n", - " tracker.start_task(\"inference\")\n", - " model = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " padding_method=\"reflect\",\n", - " waveform_duration=waveform_duration,\n", - " apply_offset_on_fit=False,\n", - " device=\"cpu\",\n", - " mask_features=False,\n", - " model_file=model_file,\n", - " )\n", - " model.fit(train_dataset)\n", - "\n", - " y_score = model.predict(test_dataset)\n", - " y_pred = (y_score >= 0.5).astype(int)\n", - " emissions_data = tracker.stop_task()\n", - " emissions.append(emissions_data.energy_consumed * 1000)\n", - " accuracies.append(accuracy_score(true_label, y_pred))\n", - " if os.path.exists(model_file):\n", - " os.remove(model_file)" - ], - "id": "b924c0fc1e43871c", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.5\n", - "1\n", - "1.5\n", - "2\n", - "2.5\n", - "3\n" - ] - } - ], - "execution_count": 11 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T04:42:20.609615875Z", - "start_time": "2025-01-29T19:35:10.903479Z" - } - }, - "cell_type": "code", - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.figure(figsize=(10, 6))\n", - "plt.subplot(211)\n", - "plt.plot(waveform_durations, accuracies, marker=\"o\")\n", - "plt.xlabel(\"Audio duration [sec]\")\n", - "plt.ylabel(\"Accuracy\")\n", - "plt.title(\"Accuracy vs. audio length\")\n", - "plt.grid()\n", - "plt.subplot(212)\n", - "plt.plot(waveform_durations, emissions)\n", - "plt.xlabel(\"Audio duration [sec]\")\n", - "plt.ylabel(\"Emissions (gCO2eq)\")\n", - "plt.title(\"Emissions vs. audio length\")\n", - "plt.grid()\n", - "plt.tight_layout()\n", - "plt.show()" - ], - "id": "2830faa3f187d770", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 17 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "## RoC curve", - "id": "29d36f98051e00f" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:06:28.722796Z", - "start_time": "2025-01-31T05:06:13.211591Z" - } - }, - "cell_type": "code", - "source": [ - "# Frugal model\n", - "model = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=padding_method,\n", - " device=\"cuda\",\n", - " mask_features=False,\n", - " waveform_duration=1,\n", - " apply_offset_on_fit=True\n", - ")\n", - "model.fit(train_dataset)\n", - "y_score = model.predict(test_dataset, get_proba=True)\n", - "y_pred = (y_score >= 0.5).astype(int)\n", - "print(accuracy_score(true_label, y_pred))" - ], - "id": "c7b964849db1c1c7", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9404761904761905\n" - ] - } - ], - "execution_count": 33 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:07:28.095206Z", - "start_time": "2025-01-31T05:07:07.521363Z" - } - }, - "cell_type": "code", - "source": [ - "# Performant model\n", - "model2 = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=padding_method,\n", - " device=\"cpu\",\n", - " apply_offset_on_fit=False,\n", - " waveform_duration=3,\n", - ")\n", - "model2.fit(train_dataset)\n", - "y_score2 = model2.predict(test_dataset, get_proba=True)\n", - "y_pred2 = (y_score2 >= 0.5).astype(int)\n", - "print(accuracy_score(true_label, y_pred2))" - ], - "id": "2f9f7f14ae1a8d06", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.9501984126984127\n" - ] - } - ], - "execution_count": 35 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:07:30.470967Z", - "start_time": "2025-01-31T05:07:30.450608Z" - } - }, - "cell_type": "code", - "source": [ - "from sklearn.metrics import roc_curve, roc_auc_score\n", - "\n", - "fpr, tpr, thresholds = roc_curve(true_label, -y_score, pos_label=0) # Careful here! pos_label=chainsaw_label=0. The score needs to be inverted too!\n", - "roc_auc = roc_auc_score(true_label, y_score)" - ], - "id": "1e6d534d6fe45f95", - "outputs": [], - "execution_count": 36 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:07:31.605582Z", - "start_time": "2025-01-31T05:07:31.599531Z" - } - }, - "cell_type": "code", - "source": [ - "fpr_threshold = 0.01\n", - "optimal_threshold = thresholds[fpr <= fpr_threshold][-1]\n", - "\n", - "y_pred_at_fpr_1 = ((-y_score) < optimal_threshold).astype(int)\n", - "\n", - "accuracy_at_1_fpr = accuracy_score(true_label, y_pred_at_fpr_1)\n", - "\n", - "print(f\"Threshold @ FPR1%: {optimal_threshold:.4f}\")\n", - "print(f\"Accuracy @ FPR1% for frugal model: {accuracy_at_1_fpr:.4f}\")" - ], - "id": "2f7acc885512ddff", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Threshold @ FPR1%: -0.1089\n", - "Accuracy @ FPR1% for frugal model: 0.9083\n" - ] - } - ], - "execution_count": 37 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:07:33.583199Z", - "start_time": "2025-01-31T05:07:33.574087Z" - } - }, - "cell_type": "code", - "source": [ - "fpr, tpr, thresholds = roc_curve(true_label, -y_score2, pos_label=0)\n", - "optimal_threshold = thresholds[fpr <= fpr_threshold][-1]\n", - "\n", - "y_pred_at_fpr_1 = ((-y_score2) < optimal_threshold).astype(int)\n", - "\n", - "accuracy_at_1_fpr = accuracy_score(true_label, y_pred_at_fpr_1)\n", - "\n", - "print(f\"Threshold @ FPR1%: {optimal_threshold:.4f}\")\n", - "print(f\"Accuracy @ FPR1% for performant model: {accuracy_at_1_fpr:.4f}\")" - ], - "id": "6a37190d72b30d96", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Threshold @ FPR1%: -0.1108\n", - "Accuracy @ FPR1% for performant model: 0.9343\n" - ] - } - ], - "execution_count": 38 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T04:42:20.615086789Z", - "start_time": "2025-01-29T20:09:05.194525Z" - } - }, - "cell_type": "code", - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from sklearn.metrics import roc_curve, roc_auc_score, accuracy_score\n", - "\n", - "# Compute ROC and metrics for Model 1\n", - "fpr1, tpr1, thresholds1 = roc_curve(true_label, -y_score, pos_label=0)\n", - "roc_auc1 = roc_auc_score(true_label, y_score)\n", - "\n", - "fpr_threshold = 0.01\n", - "\n", - "# Model 1 @ FPR1%\n", - "valid_indices1 = np.where(fpr1 <= fpr_threshold)[0]\n", - "optimal_threshold1 = thresholds1[valid_indices1[-1]]\n", - "y_pred_at_fpr_1_1 = ((-y_score) < optimal_threshold1).astype(int)\n", - "accuracy_at_1_fpr1 = accuracy_score(true_label, y_pred_at_fpr_1_1)\n", - "point_fpr_1_1 = (fpr1[valid_indices1[-1]], tpr1[valid_indices1[-1]])\n", - "\n", - "# Model 1 Best Accuracy\n", - "accuracies1 = []\n", - "for threshold in thresholds1:\n", - " y_pred1 = ((-y_score) < threshold).astype(int)\n", - " accuracies1.append(accuracy_score(true_label, y_pred1))\n", - "\n", - "max_accuracy1 = max(accuracies1)\n", - "best_threshold1 = thresholds1[np.argmax(accuracies1)]\n", - "point_best_accuracy1 = (fpr1[np.argmax(accuracies1)], tpr1[np.argmax(accuracies1)])\n", - "\n", - "# Compute ROC and metrics for Model 2\n", - "fpr2, tpr2, thresholds2 = roc_curve(true_label, -y_score2, pos_label=0)\n", - "roc_auc2 = roc_auc_score(true_label, y_score2)\n", - "\n", - "# Model 2 @ FPR1%\n", - "valid_indices2 = np.where(fpr2 <= fpr_threshold)[0]\n", - "optimal_threshold2 = thresholds2[valid_indices2[-1]]\n", - "y_pred_at_fpr_1_2 = ((-y_score2) < optimal_threshold2).astype(int)\n", - "accuracy_at_1_fpr2 = accuracy_score(true_label, y_pred_at_fpr_1_2)\n", - "point_fpr_1_2 = (fpr2[valid_indices2[-1]], tpr2[valid_indices2[-1]])\n", - "\n", - "# Model 2 Best Accuracy\n", - "accuracies2 = []\n", - "for threshold in thresholds2:\n", - " y_pred2 = ((-y_score2) < threshold).astype(int)\n", - " accuracies2.append(accuracy_score(true_label, y_pred2))\n", - "\n", - "max_accuracy2 = max(accuracies2)\n", - "best_threshold2 = thresholds2[np.argmax(accuracies2)]\n", - "point_best_accuracy2 = (fpr2[np.argmax(accuracies2)], tpr2[np.argmax(accuracies2)])\n", - "\n", - "plt.figure(figsize=(8, 6))\n", - "\n", - "plt.plot(fpr1, tpr1, color=\"blue\", lw=2, label=f\"Frugal Model ROC Curve (AUC = {roc_auc1:.2f})\")\n", - "plt.plot(\n", - " fpr2, tpr2, color=\"orange\", lw=2, label=f\"Performant Model ROC Curve (AUC = {roc_auc2:.2f})\"\n", - ")\n", - "\n", - "plt.vlines(0.01, 0, 1, linestyles=\"dashed\", label=\"FPR1% Threshold\", color=\"black\")\n", - "plt.scatter(\n", - " *point_fpr_1_1, color=\"red\", label=f\"Frugal Model FPR 1% (Acc = {accuracy_at_1_fpr1:.4f})\"\n", - ")\n", - "plt.scatter(\n", - " *point_best_accuracy1, color=\"green\", label=f\"Frugal Model Best Acc = {max_accuracy1:.4f}\"\n", - ")\n", - "plt.scatter(\n", - " *point_fpr_1_2,\n", - " color=\"purple\",\n", - " label=f\"Performant Model FPR 1% (Acc = {accuracy_at_1_fpr2:.4f})\",\n", - ")\n", - "plt.scatter(\n", - " *point_best_accuracy2, color=\"brown\", label=f\"Performant Model Best Acc = {max_accuracy2:.4f}\"\n", - ")\n", - "# Random Guess\n", - "plt.plot([0, 1], [0, 1], color=\"gray\", linestyle=\"--\", label=\"Random Guess\")\n", - "\n", - "plt.xlabel(\"False Positive Rate (FPR)\")\n", - "plt.ylabel(\"True Positive Rate (TPR)\")\n", - "plt.title(\"Receiver Operating Characteristic (ROC) Curve - Model Comparison\")\n", - "plt.legend(loc=\"lower right\")\n", - "plt.ylim([0.5, 1.05])\n", - "plt.xlim([-0.05, 0.5])\n", - "plt.grid()\n", - "plt.show()" - ], - "id": "7a8300eb32f16e66", - "outputs": [ - { - "data": { - "text/plain": [ - "
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 37 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "## False positives", - "id": "edb4b11b93065db6" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T04:42:20.615990145Z", - "start_time": "2025-01-30T19:41:03.366625Z" - } - }, - "cell_type": "code", - "source": [ - "shapes, sr = [], []\n", - "for i in range(len(test_dataset)):\n", - " shapes.append(test_dataset[i][\"audio\"][\"array\"].shape[0])\n", - " sr.append(test_dataset[i][\"audio\"][\"sampling_rate\"])\n", - "print(\"VAL\")\n", - "print(set([shape for shape in shapes]))\n", - "print(set([fe for fe in sr]))" - ], - "id": "35e6dfa2992531ad", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "VAL\n", - "{26880, 0, 53760, 65280, 30720, 21120, 19200, 17280, 36000, 22560, 30240, 72000, 20160, 60480, 41280, 27840, 33600, 22080, 25440, 35040, 33120}\n", - "{12000, 24000}\n" - ] - } - ], - "execution_count": 6 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:10:01.175281Z", - "start_time": "2025-01-31T05:09:33.997983Z" - } - }, - "cell_type": "code", - "source": [ - "model = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " padding_method=padding_method,\n", - " waveform_duration=3,\n", - " apply_offset_on_fit=False,\n", - " model_file=\"analysis.txt\",\n", - ")\n", - "model.fit(train_dataset)\n", - "y_score = model.predict(test_dataset, get_proba=True)" - ], - "id": "7f962c5841fb7903", - "outputs": [], - "execution_count": 40 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:10:01.320452Z", - "start_time": "2025-01-31T05:10:01.313372Z" - } - }, - "cell_type": "code", - "source": [ - "y_pred = (y_score >= 0.5).astype(int)\n", - "accuracy_score(true_label, y_pred)" - ], - "id": "6a8c960e1dffae74", - "outputs": [ - { - "data": { - "text/plain": [ - "0.9501984126984127" - ] - }, - "execution_count": 42, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 42 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:10:23.119643Z", - "start_time": "2025-01-31T05:10:23.113639Z" - } - }, - "cell_type": "code", - "source": [ - "false_positives = [\n", - " i for i, (pred, true) in enumerate(zip(y_pred, true_label)) if pred == 0 and true == 1\n", - "]\n", - "wrong_predictions = [i for i, (pred, true) in enumerate(zip(y_pred, true_label)) if pred != true]" - ], - "id": "57890909af865754", - "outputs": [], - "execution_count": 44 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:10:48.996255Z", - "start_time": "2025-01-31T05:10:48.991730Z" - } - }, - "cell_type": "code", - "source": [ - "FP = len(false_positives)\n", - "TN = sum(1 for pred, true in zip(y_pred, true_label) if pred == 0 and true == 0)\n", - "\n", - "FPR = FP / (FP + TN) if (FP + TN) > 0 else 0\n", - "print(\"FPR @best accuracy for performant model: \", np.round(FPR, decimals=3))" - ], - "id": "f0d8a32c3e76ac32", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FPR @best accuracy for performant model: 0.045\n" - ] - } - ], - "execution_count": 47 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:10:56.765337Z", - "start_time": "2025-01-31T05:10:56.762368Z" - } - }, - "cell_type": "code", - "source": "len(wrong_predictions)", - "id": "7f319eca8c12fb89", - "outputs": [ - { - "data": { - "text/plain": [ - "753" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "execution_count": 48 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:14:34.487294Z", - "start_time": "2025-01-31T05:14:29.401757Z" - } - }, - "cell_type": "code", - "source": [ - "sr=[]\n", - "for example in test_dataset:\n", - " audio = example[\"audio\"]\n", - " sr.append(audio[\"sampling_rate\"])" - ], - "id": "666f2922f860f6bf", - "outputs": [], - "execution_count": 50 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:14:50.342774Z", - "start_time": "2025-01-31T05:14:50.338897Z" - } - }, - "cell_type": "code", - "source": [ - "wrong_sr = [sr[wrong_prediction] for wrong_prediction in wrong_predictions]\n", - "\n", - "wrong_24kHz = wrong_sr.count(24000)\n", - "wrong_12kHz = wrong_sr.count(12000)\n", - "\n", - "total_24kHz = sr.count(24000)\n", - "total_12kHz = sr.count(12000)\n", - "\n", - "percentage_wrong_24kHz = (wrong_24kHz / total_24kHz) * 100 if total_24kHz > 0 else 0\n", - "percentage_wrong_12kHz = (wrong_12kHz / total_12kHz) * 100 if total_12kHz > 0 else 0\n", - "\n", - "print(f\"Wrong pred sampled @ 24kHz : {percentage_wrong_24kHz:.2f}%\")\n", - "print(f\"Wrong pred sampled @ 12kHz : {percentage_wrong_12kHz:.2f}%\")" - ], - "id": "5d32d103db4226cc", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrong pred sampled @ 24kHz : 2.75%\n", - "Wrong pred sampled @ 12kHz : 5.12%\n" - ] - } - ], - "execution_count": 52 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:14:52.930603Z", - "start_time": "2025-01-31T05:14:52.921818Z" - } - }, - "cell_type": "code", - "source": [ - "adjusted_y_pred = y_pred.copy()\n", - "\n", - "for i, freq in enumerate(sr):\n", - " if freq == 24000:\n", - " adjusted_y_pred[i] = true_label[i]\n", - "\n", - "adjusted_accuracy = accuracy_score(true_label, adjusted_y_pred)\n", - "\n", - "print(f\"Initial Accuracy : {accuracy_score(true_label, y_pred):.4f}\")\n", - "print(f\"If I predict well all of them : {adjusted_accuracy:.4f}\")" - ], - "id": "5de6134afe22a9cd", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Initial Accuracy : 0.9502\n", - "If I predict well all of them : 0.9518\n" - ] - } - ], - "execution_count": 53 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "Not usefull to make a 24kHz model", - "id": "e4d88e3cacb0e260" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:15:24.157948Z", - "start_time": "2025-01-31T05:15:24.132666Z" - } - }, - "cell_type": "code", - "source": [ - "from IPython.display import Audio\n", - "\n", - "# Nombre de faux positifs à écouter\n", - "num_to_listen = 5\n", - "\n", - "# Limiter à 'num_to_listen' faux positifs\n", - "selected_false_positives = false_positives[:num_to_listen]\n", - "\n", - "# Lire les audios correspondants avec leur score\n", - "for idx in selected_false_positives:\n", - " audio_data = test_dataset[idx][\"audio\"][\"array\"] # Charger les données audio\n", - " sampling_rate = test_dataset[idx][\"audio\"][\"sampling_rate\"] # Charger le sampling rate\n", - " score = y_score[idx] # Obtenir le score (probabilité) pour cet audio\n", - " print(\n", - " f\"Playing false positive audio at index {idx} (score: {score:.4f}, sampling rate: {sampling_rate} Hz):\"\n", - " )\n", - " display(Audio(audio_data, rate=sampling_rate))" - ], - "id": "df7bc309396ed08b", - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Playing false positive audio at index 93 (score: 0.1688, sampling rate: 12000 Hz):\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Playing false positive audio at index 118 (score: 0.3111, sampling rate: 12000 Hz):\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Playing false positive audio at index 124 (score: 0.4118, sampling rate: 12000 Hz):\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Playing false positive audio at index 208 (score: 0.1095, sampling rate: 12000 Hz):\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Playing false positive audio at index 281 (score: 0.0645, sampling rate: 12000 Hz):\n" - ] - }, - { - "data": { - "text/plain": [ - "" - ], - "text/html": [ - "\n", - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "execution_count": 54 - }, - { - "metadata": {}, - "cell_type": "markdown", - "source": "## Learning curves", - "id": "62477e4d4a71e19a" - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:17:12.754158Z", - "start_time": "2025-01-31T05:17:12.751865Z" - } - }, - "cell_type": "code", - "source": [ - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "from sklearn.metrics import accuracy_score" - ], - "id": "a0fd9ac9f2c11788", - "outputs": [], - "execution_count": 57 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:36:16.084342Z", - "start_time": "2025-01-31T05:36:16.079201Z" - } - }, - "cell_type": "code", - "source": [ - "model_frugal = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=\"reflect\",\n", - " device=\"cpu\",\n", - " mask_file=\"mask\",\n", - " mask_features=True,\n", - " mask_ratio=0.25,\n", - " waveform_duration=1,\n", - " apply_offset_on_fit=True,\n", - " batch_size=5000,\n", - " )\n", - "model_perf = FastModel(\n", - " feature_params,\n", - " lgbm_params,\n", - " model_file=\"analysis.txt\",\n", - " padding_method=\"reflect\",\n", - " device=\"cpu\",\n", - " waveform_duration=3,\n", - " apply_offset_on_fit=False,\n", - " batch_size=5000,\n", - " )" - ], - "id": "41b11262ac32d8a", - "outputs": [], - "execution_count": 72 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:46:25.677399Z", - "start_time": "2025-01-31T05:36:16.645391Z" - } - }, - "cell_type": "code", - "source": [ - "sizes = np.arange(2500, len(train_dataset), step=2500, dtype=int)\n", - "accuracies_train_frugal, accuracies_test_frugal = [], []\n", - "accuracies_train_perf, accuracies_test_perf = [], []\n", - "for size in sizes:\n", - " sub_train_dataset = train_dataset.select(range(size))\n", - " model_frugal.fit(sub_train_dataset)\n", - " y_pred_train = model_frugal.predict(sub_train_dataset)\n", - " accuracy_train = accuracy_score(sub_train_dataset[\"label\"], y_pred_train)\n", - " accuracies_train_frugal.append(accuracy_train)\n", - " y_pred_test = model_frugal.predict(test_dataset)\n", - " accuracy_test = accuracy_score(true_label, y_pred_test)\n", - " accuracies_test_frugal.append(accuracy_test)\n", - "\n", - " model_perf.fit(sub_train_dataset)\n", - " y_pred_train = model_perf.predict(sub_train_dataset)\n", - " accuracy_train = accuracy_score(sub_train_dataset[\"label\"], y_pred_train)\n", - " accuracies_train_perf.append(accuracy_train)\n", - " y_pred_test = model_perf.predict(test_dataset)\n", - " accuracy_test = accuracy_score(true_label, y_pred_test)\n", - " accuracies_test_perf.append(accuracy_test)" - ], - "id": "e6699f0737dfdd7d", - "outputs": [], - "execution_count": 73 - }, - { - "metadata": { - "ExecuteTime": { - "end_time": "2025-01-31T05:47:53.360966Z", - "start_time": "2025-01-31T05:47:53.229475Z" - } - }, - "cell_type": "code", - "source": [ - "# Plot learning curves\n", - "plt.figure(figsize=(10, 6))\n", - "plt.plot(sizes, accuracies_train_frugal, label=\"Frugal Model - Train\", linestyle='--', marker='o', color=\"green\")\n", - "plt.plot(sizes, accuracies_test_frugal, label=\"Frugal Model - Test\", linestyle='-', marker='o', color=\"green\")\n", - "plt.plot(sizes, accuracies_train_perf, label=\"Performant Model - Train\", linestyle='--', marker='x', color=\"red\")\n", - "plt.plot(sizes, accuracies_test_perf, label=\"Performant Model - Test\", linestyle='-', marker='x', color=\"red\")\n", - "\n", - "# Configure plot\n", - "plt.xlabel(\"Training Samples\")\n", - "plt.ylabel(\"Accuracy\")\n", - "plt.title(\"Learning Curves: Frugal vs Performant Model\")\n", - "plt.legend()\n", - "plt.grid(True)\n", - "plt.tight_layout()\n", - "plt.show()" - ], - "id": "c05266ee0dbd5111", - "outputs": [ - { - "data": { - "text/plain": [ - "
" - ], - "image/png": 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" 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