71 lines
1.7 KiB
Plaintext
71 lines
1.7 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 4,
|
|
"id": "47153112-da26-4dbd-a32a-1abdd8bda4fa",
|
|
"metadata": {
|
|
"tags": []
|
|
},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"2949/2949 [==============================] - 1s 462us/step\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"import tensorflow as tf\n",
|
|
"import pandas as pd\n",
|
|
"import numpy as np\n",
|
|
"import sklearn\n",
|
|
"import sklearn.model_selection\n",
|
|
"from tensorflow.keras.models import load_model\n",
|
|
"\n",
|
|
"feature_cols = ['year', 'mileage', 'vol_engine']\n",
|
|
"\n",
|
|
"model = load_model('model.h5')\n",
|
|
"test_data = pd.read_csv('test.csv')\n",
|
|
"\n",
|
|
"predictions = model.predict(test_data[feature_cols])\n",
|
|
"predicted_prices = [p[0] for p in predictions]\n",
|
|
"\n",
|
|
"\n",
|
|
"results = pd.DataFrame({'id': test_data['id'], 'year': test_data['year'], 'mileage': test_data['mileage'], 'vol_engine': test_data['vol_engine'], 'predicted_price': predicted_prices})\n",
|
|
"results.to_csv('predictions.csv', index=False)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"id": "bca76252-c90d-4343-8ff8-a665cd32cf26",
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3 (ipykernel)",
|
|
"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": "3.11.2"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 5
|
|
}
|