mirror of
https://github.com/openai/openai-cookbook
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137 lines
86 KiB
Plaintext
137 lines
86 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Classification using the embeddings\n",
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"\n",
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"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",
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"\n",
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"In the following example we're predicting the number of stars in a review, from 1 to 5."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" precision recall f1-score support\n",
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"\n",
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" 1 0.52 0.72 0.60 18\n",
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" 2 1.00 0.35 0.52 17\n",
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" 3 0.50 0.12 0.20 8\n",
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" 4 0.75 0.35 0.47 26\n",
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" 5 0.84 0.99 0.91 131\n",
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"\n",
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" accuracy 0.80 200\n",
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" macro avg 0.72 0.51 0.54 200\n",
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"weighted avg 0.80 0.80 0.76 200\n",
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"\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"\n",
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"from sklearn.ensemble import RandomForestClassifier\n",
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"from sklearn.model_selection import train_test_split\n",
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"from sklearn.metrics import classification_report, accuracy_score\n",
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"\n",
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"datafile_path = \"https://cdn.openai.com/API/examples/data/fine_food_reviews_with_embeddings_1k.csv\" # for your convenience, we precomputed the embeddings\n",
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"df = pd.read_csv(datafile_path)\n",
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"df[\"babbage_similarity\"] = df.babbage_similarity.apply(eval).apply(np.array)\n",
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"\n",
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"X_train, X_test, y_train, y_test = train_test_split(\n",
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" list(df.babbage_similarity.values), df.Score, test_size=0.2, random_state=42\n",
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")\n",
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"\n",
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"clf = RandomForestClassifier(n_estimators=100)\n",
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"clf.fit(X_train, y_train)\n",
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"preds = clf.predict(X_test)\n",
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"probas = clf.predict_proba(X_test)\n",
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"\n",
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"report = classification_report(y_test, preds)\n",
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"print(report)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"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."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"RandomForestClassifier() - Average precision score over all classes: 0.91\n"
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]
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},
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{
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"data": {
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",
|
|
"text/plain": [
|
|
"<Figure size 648x720 with 1 Axes>"
|
|
]
|
|
},
|
|
"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
|
|
}
|