From 0938a054b3ec5ca5b92261d18f376dfec6b0dcb8 Mon Sep 17 00:00:00 2001 From: Ted Sanders Date: Mon, 11 Jul 2022 15:39:17 -0700 Subject: [PATCH] clarifies name of Classification example using embeddings --- examples/Classification.ipynb | 130 ----------------- .../Classification_using_embeddings.ipynb | 136 ++++++++++++++++++ 2 files changed, 136 insertions(+), 130 deletions(-) delete mode 100644 examples/Classification.ipynb create mode 100644 examples/Classification_using_embeddings.ipynb diff --git a/examples/Classification.ipynb b/examples/Classification.ipynb deleted file mode 100644 index 54ad13fe..00000000 --- a/examples/Classification.ipynb +++ /dev/null @@ -1,130 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Classification using the embeddings\n", - "\n", - "In the classification task we predict one of the predefined categories given an input. We will predict the score based on the embedding of the review's text, where the algorithm is correct only if it guesses the exact number of stars. We split the dataset into a training and a testing set for all the following tasks, so we can realistically evaluate performance on unseen data. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb).\n", - "\n", - "In the following example we're predicting the number of stars in a review, from 1 to 5." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " precision recall f1-score support\n", - "\n", - " 1 0.82 0.67 0.74 21\n", - " 2 0.50 0.50 0.50 6\n", - " 3 1.00 0.46 0.63 13\n", - " 4 0.75 0.35 0.48 17\n", - " 5 0.88 1.00 0.93 143\n", - "\n", - " accuracy 0.86 200\n", - " macro avg 0.79 0.60 0.66 200\n", - "weighted avg 0.86 0.86 0.84 200\n", - "\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "import numpy as np\n", - "\n", - "from sklearn.ensemble import RandomForestClassifier\n", - "from sklearn.model_selection import train_test_split\n", - "from sklearn.metrics import classification_report, accuracy_score\n", - "\n", - "df = pd.read_csv('output/embedded_1k_reviews.csv')\n", - "df['babbage_similarity'] = df.babbage_similarity.apply(eval).apply(np.array)\n", - "\n", - "X_train, X_test, y_train, y_test = train_test_split(list(df.babbage_similarity.values), df.Score, test_size = 0.2, random_state=42)\n", - "\n", - "clf = RandomForestClassifier(n_estimators=100)\n", - "clf.fit(X_train, y_train)\n", - "preds = clf.predict(X_test)\n", - "probas = clf.predict_proba(X_test)\n", - "\n", - "report = classification_report(y_test, preds)\n", - "print(report)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can see that the model has learnt to distinguish between the categories decently. 5-star reviews show the best performance overall, and this is not too surprising, since they are the most common in the dataset." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "RandomForestClassifier() - Average precision score over all classes: 0.93\n" - ] - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from openai.embeddings_utils import plot_multiclass_precision_recall\n", - "\n", - "plot_multiclass_precision_recall(probas, y_test, [1,2,3,4,5], clf)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Unsurprisingly 5-star and 1-star reviews seem to be easier to predict. Perhaps with more data, the nuances between 2-4 stars could be better predicted, but there's also probably more subjectivity in how people use the inbetween scores." - ] - } - ], - "metadata": { - "interpreter": { - "hash": "be4b5d5b73a21c599de40d6deb1129796d12dc1cc33a738f7bac13269cfcafe8" - }, - "kernelspec": { - "display_name": "Python 3.7.3 64-bit ('base': conda)", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.3" - }, - "orig_nbformat": 4 - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Classification_using_embeddings.ipynb b/examples/Classification_using_embeddings.ipynb new file mode 100644 index 00000000..1767a34f --- /dev/null +++ b/examples/Classification_using_embeddings.ipynb @@ -0,0 +1,136 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Classification using the embeddings\n", + "\n", + "In the classification task we predict one of the predefined categories given an input. We will predict the score based on the embedding of the review's text, where the algorithm is correct only if it guesses the exact number of stars. We split the dataset into a training and a testing set for all the following tasks, so we can realistically evaluate performance on unseen data. The dataset is created in the [Obtain_dataset Notebook](Obtain_dataset.ipynb).\n", + "\n", + "In the following example we're predicting the number of stars in a review, from 1 to 5." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " precision recall f1-score support\n", + "\n", + " 1 0.52 0.72 0.60 18\n", + " 2 1.00 0.35 0.52 17\n", + " 3 0.50 0.12 0.20 8\n", + " 4 0.75 0.35 0.47 26\n", + " 5 0.84 0.99 0.91 131\n", + "\n", + " accuracy 0.80 200\n", + " macro avg 0.72 0.51 0.54 200\n", + "weighted avg 0.80 0.80 0.76 200\n", + "\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "from sklearn.ensemble import RandomForestClassifier\n", + "from sklearn.model_selection import train_test_split\n", + "from sklearn.metrics import classification_report, accuracy_score\n", + "\n", + "datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n", + "df = pd.read_csv(datafile_path)\n", + "df[\"babbage_similarity\"] = df.babbage_similarity.apply(eval).apply(np.array)\n", + "\n", + "X_train, X_test, y_train, y_test = train_test_split(\n", + " list(df.babbage_similarity.values), df.Score, test_size=0.2, random_state=42\n", + ")\n", + "\n", + "clf = RandomForestClassifier(n_estimators=100)\n", + "clf.fit(X_train, y_train)\n", + "preds = clf.predict(X_test)\n", + "probas = clf.predict_proba(X_test)\n", + "\n", + "report = classification_report(y_test, preds)\n", + "print(report)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can see that the model has learnt to distinguish between the categories decently. 5-star reviews show the best performance overall, and this is not too surprising, since they are the most common in the dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "RandomForestClassifier() - Average precision score over all classes: 0.91\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from openai.embeddings_utils import plot_multiclass_precision_recall\n", + "\n", + "plot_multiclass_precision_recall(probas, y_test, [1, 2, 3, 4, 5], clf)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Unsurprisingly 5-star and 1-star reviews seem to be easier to predict. Perhaps with more data, the nuances between 2-4 stars could be better predicted, but there's also probably more subjectivity in how people use the inbetween scores." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.9.9 ('openai')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.9" + }, + "orig_nbformat": 4, + "vscode": { + "interpreter": { + "hash": "365536dcbde60510dc9073d6b991cd35db2d9bac356a11f5b64279a5e6708b97" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}