89 lines
2.5 KiB
Plaintext
89 lines
2.5 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 13,
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"id": "ce420679-f5aa-4c83-a912-3c4afa982d7e",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"D:\\Users\\Adrian\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3444: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version.\n",
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"\n",
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"\n",
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" exec(code_obj, self.user_global_ns, self.user_ns)\n",
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"b'Skipping line 25706: expected 2 fields, saw 3\\nSkipping line 58881: expected 2 fields, saw 3\\nSkipping line 73761: expected 2 fields, saw 3\\n'\n",
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"b'Skipping line 1983: expected 1 fields, saw 2\\nSkipping line 5199: expected 1 fields, saw 2\\n'\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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"from sklearn.feature_extraction.text import TfidfVectorizer\n",
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"from sklearn.naive_bayes import MultinomialNB\n",
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"from sklearn.pipeline import make_pipeline\n",
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"from sklearn.metrics import accuracy_score\n",
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"\n",
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"\n",
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"\n",
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"df = pd.read_csv(\"train/train.tsv\", sep=\"\\t\", header=None, error_bad_lines=False)\n",
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"dev_x = pd.read_csv(\"dev-0/in.tsv\", sep=\"\\t\", header=None, error_bad_lines=False)\n",
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"test_x = pd.read_csv(\"test-A/in.tsv\", sep=\"\\t\", header=None, error_bad_lines=False)\n",
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"\n",
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"x = df[1]\n",
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"y = df[0]\n",
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"\n",
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"model = make_pipeline(TfidfVectorizer(), MultinomialNB())\n",
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"model.fit(x,y)\n",
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"\n",
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"pred_dev = model.predict(dev_x[0])\n",
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"pred_test = model.predict(test_x[0])\n",
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"\n",
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"\n",
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"with open('dev-0/out.tsv', 'wt') as f:\n",
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" for pred in pred_dev:\n",
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" f.write(str(pred)+'\\n')\n",
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" \n",
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"with open('test-A/out.tsv', 'wt') as f:\n",
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" for pred in pred_test:\n",
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" f.write(str(pred)+'\\n')\n",
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"\n",
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"\n",
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" \n",
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" \n"
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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": null,
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"id": "3e2a9ef0-6da0-4934-8099-378d859ae04e",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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