{"id":333,"date":"2022-05-10T09:00:57","date_gmt":"2022-05-10T00:00:57","guid":{"rendered":"https:\/\/is-ai.jp\/?p=333"},"modified":"2022-05-05T17:21:28","modified_gmt":"2022-05-05T08:21:28","slug":"lstm%e3%82%92%e7%94%a8%e3%81%84%e3%81%9f%e6%9c%80%e5%bc%b7%e3%81%ae%e3%83%9d%e3%82%b1%e3%83%a2%e3%83%b3%e7%94%9f%e6%88%90","status":"publish","type":"post","link":"https:\/\/is-ai.jp\/?p=333","title":{"rendered":"LSTM\u3092\u7528\u3044\u305f\u6700\u5f37\u306e\u30dd\u30b1\u30e2\u30f3\u751f\u6210"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u306f\u3058\u3081\u306b<\/h2>\n\n\n\n<p>\u4ee5\u524d\u8aad\u3093\u3060\u8ad6\u6587\u306b<strong>\u97f3\u8c61\u5fb4\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u518d\u73fe\uff1a\u6700\u5f37\u306e\u30dd\u30b1\u30e2\u30f3\u306e\u751f\u6210<\/strong>\u3068\u3044\u3046\u30bf\u30a4\u30c8\u30eb\u3060\u3051\u3067\u9762\u767d\u3044\u8ad6\u6587\u304c\u3042\u3063\u305f\u3002<br>\u4ee5\u524d\u3001\u3053\u306e\u8ad6\u6587\u3092\u53c2\u8003\u306b\u81ea\u5206\u3067\u30a2\u30ec\u30f3\u30b8\u3057\u3066\u30bc\u30df\u767a\u8868\u306b\u4f7f\u3063\u305f\u306e\u3067\u3001\u305d\u308c\u3092\u7d39\u4ecb\u3057\u3088\u3046\u3068\u601d\u3044\u307e\u3059!!<\/p>\n\n\n\n<p><\/p>\n\n\n\n<p>\u4eca\u56de\u306f\u4ee5\u4e0b\u306e\u8ad6\u6587\u306e\u30a2\u30a4\u30c7\u30a3\u30a2\u3092\u53c2\u8003\u306b\u3057\u3066\u3001\u6df1\u5c64\u5b66\u7fd2(LSTM)\u306e\u30a2\u30af\u30bb\u30f3\u30c8\u3092\u52a0\u3048\u3064\u3064\u3001\u540c\u3058\u624b\u6cd5\u3067\u6700\u5f37\u306e\u30dd\u30b1\u30e2\u30f3\u306e\u751f\u6210\u3092\u76ee\u6307\u3057\u3066\u3044\u304d\u307e\u3059\u3002<br>\u8ad6\u6587\u3067\u306f\u88ab\u9a13\u8005\u30a2\u30f3\u30b1\u30fc\u30c8\u3067\u97f3\u306e\u5370\u8c61\u3092\u5b9a\u91cf\u5316\u3057\u3066\u3044\u307e\u3057\u305f\u304c\u3001\u305d\u306e\u3088\u3046\u306a\u30c7\u30fc\u30bf\u306f\u6301\u3063\u3066\u306a\u3044\u306e\u3067\u3001\u4ee3\u308f\u308a\u306b\u7a2e\u65cf\u5024\u3092\u4f7f\u7528\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>\u97f3\u8c61\u5fb4\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u518d\u73fe\uff1a\u6700\u5f37\u306e\u30dd\u30b1\u30e2\u30f3\u306e\u751f\u6210<br>\u4e09\u6d66 \u667a \u22171 \u6751\u7530 \u771f\u6a39 \u22171 \u4fdd\u7530 \u7965 \u22172 \u5bae\u90e8 \u771f\u8863 \u22172 \u8352\u7267 \u82f1\u6cbb \u22172<br>\u22171 \u9ce5\u53d6\u5927\u5b66\u5927\u5b66\u9662 *2 \u6771\u4eac\u5927\u5b66 \u8a00\u8a9e\u51e6\u7406\u5b66\u4f1a \u7b2c18 \u56de\u5e74\u6b21\u5927\u4f1a \u767a\u8868\u8ad6\u6587\u96c6 (2012\u5e74 3\u6708)\u3000<br>http:\/\/luululu.com\/paper\/2012\/C1-1.pdf<\/p><\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\">\u5143\u8ad6\u6587\u306e\u6982\u8981(3\u884c)<\/h3>\n\n\n\n<p>\u30fb8\u4eba\u306e\u88ab\u9a13\u8005(\u30dd\u30b1\u30e2\u30f3\u3092\u77e5\u3089\u306a\u3044)\u306b\u5bfe\u3057\u3066\u4e00\u5bfe\u6bd4\u8f03\u3067\u30dd\u30b1\u30e2\u30f3\u306e\u5f37\u5f31\u3092\u4e88\u60f3\u3002<br>\u30fb\u3053\u308c\u3092\u5b66\u7fd2\u30c7\u30fc\u30bf\u3068\u3057\u3066SVM\u3067\u30e2\u30c7\u30eb\u3092\u751f\u6210\u3002<br>\u30fb\u30e2\u30c7\u30eb\u3092\u4f7f\u3044\u3001\u30dd\u30b1\u30e2\u30f3\u306e\u540d\u524d\u3092\u5909\u3048\u3066\u5f37\u5f31\u306e\u5224\u65ad\u3092\u7e70\u308a\u8fd4\u3059\u3053\u3068\u3067\u6700\u5f37\u306e\u30dd\u30b1\u30e2\u30f3\u3092\u751f\u6210\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">\u4f7f\u7528\u30c7\u30fc\u30bf<\/h3>\n\n\n\n<p>\u4eca\u56de\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u306f\u3001\u7b2c\u4e03\u4e16\u4ee3\u307e\u3067\u306e\u30dd\u30b1\u30e2\u30f3\u306e\u30c6\u30fc\u30d6\u30eb\u30c7\u30fc\u30bf\u3092\u4f7f\u7528\u3057\u3066\u3044\u307e\u3059\u3002<br>\u30dd\u30b1\u30e2\u30f3\u306e\u540d\u524d\u306f\u516d\u6587\u5b57\u307e\u3067\u306a\u306e\u3067\u3001\u305d\u308c\u3092\u8d85\u3048\u308b\u540d\u524d\u304c\u4ed8\u4e0e\u3055\u308c\u3066\u3044\u308b\u30dd\u30b1\u30e2\u30f3(\u30e9\u30f3\u30c9\u30ed\u30b9\u970a\u7363\u3001\u30b8\u30ac\u30eb\u30c710%\u7b49)\u306e\u5024\u3092\u524a\u9664\u3057\u307e\u3059\u3002<br>\u307e\u305f\u3001\u4eca\u56de\u306f\u30e1\u30ac\u9032\u5316\u30dd\u30b1\u30e2\u30f3\u3082\u5bfe\u8c61\u5916\u3068\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<p>\u30dd\u30b1\u30e2\u30f3\u306e\u30c7\u30fc\u30bf\u306f\u4ee5\u4e0b\u306e\u30ea\u30f3\u30af\u304b\u3089\u62dd\u501f\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" title=\"\u30dd\u30b1\u30e2\u30f3\u306e\u7a2e\u65cf\u5024\u30c7\u30fc\u30bf\u30b7\u30fc\u30c8\u306e\u914d\u5e03\u3010\u5263\u76fe\u306b\u5bfe\u5fdc\uff01\u3011 - \u7406\u79d1\u7cfb\u306e\u30c8\u30ec\u30fc\u30ca\u30fc\" src=\"https:\/\/hatenablog-parts.com\/embed?url=https%3A%2F%2Frikapoke.hatenablog.jp%2Fentry%2Fpokemon_datasheet_gne7#?secret=w729kuqwI7\" data-secret=\"w729kuqwI7\" scrolling=\"no\" frameborder=\"0\"><\/iframe><\/p><\/blockquote>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>import pandas as pd\nstatus = pd.read_csv(&quot;pokemon_status.csv&quot;, encoding=&quot;shift_jis&quot;)\nstatus<\/code><\/pre><\/div>\n\n\n\n<p>\u4eca\u56de\u6271\u3046csv\u30c7\u30fc\u30bf\u2193<br><img decoding=\"async\" src=\"https:\/\/qiita-image-store.s3.ap-northeast-1.amazonaws.com\/0\/861022\/6133c3e6-e18e-23be-beaf-53447688a5a9.png\" alt=\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8 2020-11-07 17.54.24.png\"><\/p>\n\n\n\n<p>\u3053\u308c\u306b\u524d\u51e6\u7406\u3092\u52a0\u3048\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>#\u4f59\u8a08\u306a\u30e1\u30ac\u30dd\u30b1\u30e2\u30f3\u306e\u524a\u9664\nstatus = status[~status[&#39;\u56f3\u9451\u756a\u53f7&#39;].str.contains(&#39;-&#39;)]\n\n#\u540d\u524d\u306e\u9577\u3055\u304c7\u4ee5\u4e0a\u306e\u30dd\u30b1\u30e2\u30f3\u3092\u524a\u9664\nstatus[&#39;len&#39;] = status[&#39;\u30dd\u30b1\u30e2\u30f3\u540d&#39;].map(lambda x: len(x))\nde = status[status[&#39;len&#39;]&gt;6]\nstatus = status[status[&#39;len&#39;]&lt;7]\n\n#\u4f7f\u7528\u30c7\u30fc\u30bf\u3060\u3051\u306e\u30c7\u30fc\u30bf\u306b\nstatus = status.loc[:, [&#39;\u30dd\u30b1\u30e2\u30f3\u540d&#39;,&#39;\u5408\u8a08&#39;]]\nstatus<\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>\u4eca\u56de\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u306e\u5b8c\u6210\uff01<br><img decoding=\"async\" data-src=\"https:\/\/qiita-image-store.s3.ap-northeast-1.amazonaws.com\/0\/861022\/e7551af1-312b-56f6-6238-479f06e0e754.png\" alt=\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8 2020-11-07 18.00.59.png\" class=\"lazyload\" \/><\/p>\n\n\n\n<p>\u3053\u3053\u304b\u3089LSTM\u306b\u98df\u308f\u305b\u308b\u305f\u3081\u306e\u524d\u51e6\u7406\u3092\u7d9a\u3051\u3066\u3044\u304d\u307e\u3059\u3002<\/p>\n\n\n\n<ul><li>\u30dd\u30b1\u30e2\u30f3\u306e\u540d\u524d\u3092Tokenize(\u8ad6\u6587\u306b\u5023\u3063\u3066\u30dd\u30b1\u30e2\u30f3\u306e\u540d\u524d\u3092\u30e2\u30ce\u30b0\u30e9\u30e0\u3067\u5165\u529b)<\/li><li>\u30dd\u30b1\u30e2\u30f3\u306e\u7a2e\u65cf\u5024\u3092\u6b63\u898f\u5316\u3057\u30660,1\u306b\u30e9\u30d9\u30ea\u30f3\u30b0<\/li><\/ul>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>#tokenize\ndef function(name):\n    n_gram = &#39;&#39;\n    for n in name:\n        n_gram = n_gram + n + &#39; &#39;\n    return n_gram\n\nstatus[&#39;\u30dd\u30b1\u30e2\u30f3\u540d&#39;] = status[&#39;\u30dd\u30b1\u30e2\u30f3\u540d&#39;].map(function)\nstatus<\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>#\u7a2e\u65cf\u5024\u306e\u6b63\u898f\u5316 & 0or1\nfrom sklearn import preprocessing\n\ndef labeling(pred, p=0.5):\n    if pred &lt; p:\n        pred_label = 0\n    else:\n        pred_label = 1\n    \n    return pred_label\n\nstatus[&#39;\u5408\u8a08&#39;] = preprocessing.minmax_scale(status[&#39;\u5408\u8a08&#39;])\nstatus[&#39;\u5408\u8a08&#39;] = status[&#39;\u5408\u8a08&#39;].map(labeling)\nstatus<\/code><\/pre><\/div>\n\n\n\n<p>\u524d\u51e6\u7406\u5f8c\u306e\u30c7\u30fc\u30bf\u2193<br><img decoding=\"async\" data-src=\"https:\/\/qiita-image-store.s3.ap-northeast-1.amazonaws.com\/0\/861022\/3c8253d6-7a8f-663c-4d8e-373495516e47.png\" alt=\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8 2020-11-07 18.07.12.png\" class=\"lazyload\" \/><\/p>\n\n\n\n<p>\u4f5c\u6210\u3057\u305f\u30c7\u30fc\u30bf\u3092train\u3001val\u306b\u5206\u985e\u3057\u3066\u4fdd\u5b58\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>from sklearn.model_selection import train_test_split\n\ntrain_df, val_df = train_test_split(status, random_state=1234, test_size=0.2)\ntrain_df.to_csv(&quot;.\/train_df.tsv&quot;, sep=&#39;\\t&#39;)\nval_df.to_csv(&quot;.\/val_df.tsv&quot;, sep=&#39;\\t&#39;)<\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u30e2\u30c7\u30eb\u306e\u69cb\u7bc9<\/h2>\n\n\n\n<p>pytorch\u4fe1\u8005\u306a\u306e\u3067torch\u3067\u30e2\u30c7\u30eb\u3092\u69cb\u7bc9\u3001\u8efd\u304f\u30b3\u30fc\u30c9\u306e\u7d39\u4ecb\u3092\u3057\u307e\u3059\u3002<br>\u30b3\u30fc\u30c9\u5168\u6587\u306f\u4ee5\u4e0b\u30ea\u30f3\u30af\u306b\u7f6e\u3044\u3066\u3044\u308b\u306e\u3067\u3001\u8208\u5473\u3092\u6301\u3063\u3066\u304f\u308c\u308b\u65b9\u304c\u3044\u305f\u3089\u305d\u3061\u3089\u3092\u53c2\u8003\u306b\u3057\u3066\u307f\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n\n\n\n<blockquote class=\"wp-block-quote\"><p>https:\/\/github.com\/drop-ja\/pokemon<\/p><\/blockquote>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>from torchtext import data\nimport torchtext\n\nbatch_size = 4\nmax_len = 6\n\n# tokenize\u306e\u65b9\u6cd5\ntokenizer = lambda x: x.split()\n\n# \u30e9\u30d9\u30eb\u60c5\u5831\u7b49\nTEXT = data.Field(sequential=True, tokenize=tokenizer, include_lengths=True, \n                 batch_first=True, fix_length=max_len)\nLABEL = data.LabelField()\n\nfields_train = [(&#39;id&#39;, None), (&#39;name&#39;, TEXT), (&#39;bs&#39;, LABEL)]\n\ndataset_train, dataset_valid = data.TabularDataset.splits(\n                             path = &#39;.\/&#39;,\n                             format=&#39;TSV&#39;,\n                             skip_header=True, \n                             train=&quot;train_df.tsv&quot;,\n                             validation=&quot;val_df.tsv&quot;, \n                             fields=fields_train)<\/code><\/pre><\/div>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>TEXT.build_vocab(dataset_train)\nLABEL.build_vocab(dataset_train)\n\ntrain_iter = data.BucketIterator(dataset=dataset_train, batch_size=batch_size, \n                                 sort_key=lambda x: len(x.name), repeat=False, shuffle=True)\nval_iter = data.BucketIterator(dataset=dataset_valid, batch_size=1, \n                                 sort_key=lambda x: len(x.name), repeat=False, shuffle=False)<\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>#\u30e2\u30c7\u30eb\u306e\u5b9a\u7fa9\nimport torch\nimport torch.nn as nn\nimport torch.nn.init as init\nimport torch.optim as optim\nimport torch.nn.functional as F\n\ndevice = torch.device(&#39;cuda&#39; if torch.cuda.is_available() else &#39;cpu&#39;)\n\nclass LSTMPVClassifier(nn.Module):\n    def __init__(self, vocab_size, embedding_dim, lstm_hidden_size,  mlp_hidden_size, output_size):\n        super(LSTMPVClassifier, self).__init__()\n        self.lstm_hidden_size = lstm_hidden_size\n   \n        self.embed = nn.Embedding(vocab_size, embedding_dim, padding_idx=1)\n        self.lstm = nn.LSTM(embedding_dim, self.lstm_hidden_size, batch_first=True, \n                        num_layers=1, bidirectional=False, dropout=0.0)\n    \n        self.fc1 = nn.Linear(self.lstm_hidden_size, mlp_hidden_size)\n        self.fc2 = nn.Linear(mlp_hidden_size, output_size)\n    \n    def forward(self, x):\n        b_size = x.size(0) # \u30d0\u30c3\u30c1\u30b5\u30a4\u30ba\n        seq_len  = x.size(1) # \u30dd\u30b1\u30e2\u30f3\u540d\u306e\u9577\u3055\n\n        x = self.embed(x)\n        h0 = torch.zeros(1, b_size, self.lstm_hidden_size).to(device)\n        c0 = torch.zeros(1, b_size, self.lstm_hidden_size).to(device)\n  \n        lstm_output_seq, (h_n, c_n) = self.lstm(x, (h0, c0))\n   \n        out = torch.relu(self.fc1(lstm_output_seq))\n        out = torch.sigmoid(self.fc2(out)) \n\n        return out<\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u7d50\u679c<\/h2>\n\n\n\n<p>\u4e0a\u8a18\u306e\u30e2\u30c7\u30eb\u306710Epoch\u56de\u3057\u305f\u7d50\u679c\u304c\u3053\u3061\u3089\u3002<br>'\u5408\u8a08'\u306f\u6b63\u89e3\u30e9\u30d9\u30eb\u3001'\u4e88\u6e2c\u5024'\u306f\u30e2\u30c7\u30eb\u306b\u3066\u4e88\u6e2c\u3057\u305f\u7d50\u679c\u3092\u8fd4\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" data-src=\"https:\/\/qiita-image-store.s3.ap-northeast-1.amazonaws.com\/0\/861022\/dce9b5cd-0ea0-45b8-abdc-d319650b7d9e.png\" alt=\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8 2020-11-07 18.19.30.png\" class=\"lazyload\" \/><\/figure>\n\n\n\n<p>\u4e0a\u8a18\u306e\u7d50\u679c\u306eF\u5024\u3092\u3044\u304b\u306b\u793a\u3057\u307e\u3059\u3002<br>\u9069\u5f53\u306b\u30e2\u30c7\u30eb\u3092\u7d44\u3093\u3060\u5272\u306b\u306f\u7d50\u69cb\u3044\u3044\u5024\u304c\u8fd4\u3063\u3066\u304d\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" data-src=\"https:\/\/qiita-image-store.s3.ap-northeast-1.amazonaws.com\/0\/861022\/b8ce70b7-8f34-48cd-4a61-f712bafaca8f.png\" alt=\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8 2020-11-07 18.21.24.png\" class=\"lazyload\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">\u751f\u6210\u3057\u305f\u30e2\u30c7\u30eb\u3067\u904a\u3093\u3067\u307f\u308b<\/h2>\n\n\n\n<p>\u9069\u5f53\u306b\u540d\u524d\u3092\u5165\u308c\u3066\u904a\u3093\u3067\u307f\u307e\u3057\u305f\u3002<br>\u7814\u7a76\u5ba4\u30e1\u30f3\u30d0\u30fc\u306e\u540d\u524d\u3092\u5165\u308c\u3066\u30e9\u30f3\u30ad\u30f3\u30b0\u5316\u3057\u305f\u308a\u3057\u3066\u3001\u3053\u308c\u3092\u4f7f\u3063\u3066\u904a\u3076\u3060\u3051\u3067\u7d50\u69cb\u76db\u308a\u4e0a\u304c\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" data-src=\"https:\/\/qiita-image-store.s3.ap-northeast-1.amazonaws.com\/0\/861022\/5805d2ed-d1a1-f001-38b8-af5c0e1e6a20.png\" alt=\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8 2020-11-07 18.25.41.png\" class=\"lazyload\" \/><\/figure>\n\n\n\n<p>\u4ee5\u4e0b\u30b3\u30fc\u30c9\u3067\u3059\u3002<\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>#\u5909\u63db\u5f8c\u306e\u6570\u5024\u3092\u30c1\u30a7\u30c3\u30af\ndef to_dataset(list_obj, pri=True):\n    index = pd.DataFrame(list_obj)\n    index[0] = index[0].map(function)\n    index.to_csv(&#39;.\/test.tsv&#39;, sep=&#39;\\t&#39;)\n    \n    fields_test = [(&#39;id&#39;, None), (&#39;name&#39;, TEXT)]\n    dataset_test = data.TabularDataset(path=&#39;.\/test.tsv&#39;,\n                             format=&#39;TSV&#39;, skip_header=True, fields=fields_test)\n    \n    test_iter = data.BucketIterator(dataset=dataset_test, batch_size=1, \n                                 sort_key=lambda x: len(x.name), repeat=False, shuffle=False)\n    \n    batch = next(iter(test_iter))\n    \n    if pri:\n        print(batch.name)\n    \n    return test_iter\n\nlist_obj = [&#39;\u30c7\u30f3\u30b7\u30b1\u30c8\u30eb&#39;, &#39;\u30ac\u30ae\u30b0\u30b2\u30b4&#39;, &#39;\u30c7\u30f3\u30b7\u30ec\u30f3\u30b8&#39;, &#39;\u30d5\u30e9\u30a4\u30d1\u30f3&#39;, &#39;\u30b8\u30b5\u30dc\u30b1&#39;, &#39;\u30dd\u30b1\u30e2\u30f3&#39;]\ntest_iter = to_dataset(list_obj)<\/code><\/pre><\/div>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>def result_show(test_iter, pri=True):\n    test_predicted = []\n    \n    for batch in test_iter:\n        text = batch.name[0]\n        text = text.to(device)\n        outputs = eval_net(text)\n        outputs = outputs[:, -1]\n        tmp_pred_label = outputs.to(&#39;cpu&#39;).detach().numpy().copy()\n        test_predicted.extend(tmp_pred_label[0])\n    \n    if pri:\n        print(test_predicted)\n    \n    return test_predicted\n        \nresult = result_show(test_iter)\n\ndf = pd.DataFrame(list_obj, columns=[&#39;\u540d\u524d&#39;])\ndf[&#39;\u4e88\u6e2c\u5024&#39;] = result\ndf[&#39;0,1\u30e9\u30d9\u30eb&#39;] = labeling(df[&#39;\u4e88\u6e2c\u5024&#39;])\ndf<\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u6700\u5f37\u306e\u30dd\u30b1\u30e2\u30f3\u3092\u751f\u6210<\/h2>\n\n\n\n<p>\u3084\u3063\u3068\u4eca\u56de\u306e\u4e3b\u984c\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u6700\u5f37\u306e\u30dd\u30b1\u30e2\u30f3\u751f\u6210\u624b\u6cd5\u306f\u8ad6\u6587\u306b\u5023\u3044\u540c\u3058\u624b\u6cd5\u3067\u751f\u6210\u3057\u307e\u3059\u3002<\/p>\n\n\n\n<p><strong>\u8ad6\u6587\u306e\u624b\u6cd5<\/strong><\/p>\n\n\n\n<ul><li>\u9069\u5f53\u306b\u30b5\u30f3\u30d7\u30eb\u3092\u9078\u5b9a<\/li><li>\u30e9\u30f3\u30c0\u30e0\u306b\u4e00\u6587\u5b57\u7f6e\u304d\u63db\u3048\u308b<\/li><li>\u7f6e\u304d\u63db\u3048\u305f\u540d\u524d\u3068\u30e2\u30c7\u30eb\u3092\u7528\u3044\u3066\u6bd4\u8f03<\/li><li>\u4e0a\u8a183\u5de5\u7a0b\u309250\u56de\u30eb\u30fc\u30d7<\/li><\/ul>\n\n\n\n<p>\u8ad6\u6587\u3067\u306f\"\u30d1\u30e9\u30bb\u30af\u30c8\"\u3001\"\u30cb\u30c9\u30af\u30a4\u30f3\"\u304b\u3089\u751f\u6210\u3057\u3066\u3044\u305f\u306e\u3067\u305d\u308c\u306b\u5023\u3044\u307e\u3059\u3002<br>\u4ee5\u4e0b\u30b3\u30fc\u30c9\u3002<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div class=\"hcb_wrap\"><pre class=\"prism line-numbers lang-python\" data-lang=\"Python\"><code>def generate_pokemon(string):\n    history = []\n    score = []\n    history.append(string)\n    \n    for i in range(50):\n        changed_string = change_name(string, 1)\n        cd_result = result_show(to_dataset([string, changed_string], False), False)\n        \n        #\u6700\u521d\u3060\u3051\u8ffd\u52a0\n        if i ==0:\n            score.append(cd_result[0])\n            \n        if cd_result[0] &gt; cd_result[1]:\n            score.append(cd_result[0])\n        else:\n            string = changed_string\n            score.append(cd_result[1])\n            \n        history.append(string)\n        \n    cd_df = pd.DataFrame(history, columns=[&#39;\u540d\u524d&#39;])\n    cd_df[&#39;\u4e88\u6e2c\u5024&#39;] = score\n    \n    return string, cd_df\n\n\nstring = &#39;\u30d1\u30e9\u30bb\u30af\u30c8&#39;\nsaikyou, port = generate_pokemon(string)\n\nprint(&#39;\u6700\u5f37\u306e\u540d\u524d : &#39;, saikyou)\npd.DataFrame(port)<\/code><\/pre><\/div>\n\n\n\n<p><\/p>\n\n\n\n<p>\u30d1\u30e9\u30bb\u30af\u30c8\u304b\u3089\u306e\u751f\u6210\u7d50\u679c\uff08\u904e\u7a0b10\/50\uff09<br><img decoding=\"async\" data-src=\"https:\/\/qiita-image-store.s3.ap-northeast-1.amazonaws.com\/0\/861022\/c2c69338-4f85-fb75-d112-73dce5d3b601.png\" alt=\"\u30b9\u30af\u30ea\u30fc\u30f3\u30b7\u30e7\u30c3\u30c8 2020-11-07 18.35.14.png\" class=\"lazyload\" \/><\/p>\n\n\n\n<p>\u6700\u7d42\u7684\u306a\u751f\u6210\u7d50\u679c\u306f\u300c\u30a8\u30ae\u30cd\u30aa\u30aa\u300d\u306b\u306a\u308a\u307e\u3057\u305f\u3002<br>\u30e9\u30f3\u30c0\u30e0\u3067\u6587\u5b57\u3092\u4ea4\u63db\u3057\u3066\u3044\u308b\u306e\u3067\u3001\u56de\u3059\u305f\u3073\u7d50\u679c\u304c\u5909\u308f\u308b\u306e\u304c\u9762\u767d\u304f\u4f55\u56de\u3082\u56de\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u3002<br>\u3053\u3046\u3084\u3063\u3066\u7d50\u679c\u3092\u78ba\u8a8d\u3057\u306a\u304c\u3089\u52d5\u304b\u3057\u3066\u3044\u304f\u306e\u306f\u697d\u3057\u3044\u3067\u3059\u3002<\/p>\n\n\n\n<p>\u307e\u305f\u4eca\u56de\u306f\u30dd\u30b1\u30e2\u30f3\u3092\u4f7f\u7528\u3057\u307e\u3057\u305f\u304c\u3001\u30e9\u30fc\u30e1\u30f3\u5e97\u306e\u540d\u524d\u3068\u98df\u3079\u30ed\u30b0\u8a55\u4fa1\u3068\u304b\u3067\u3084\u3063\u3066\u3082\u9762\u767d\u305d\u3046\u3067\u3059\u306d\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u306f\u3058\u3081\u306b \u4ee5\u524d\u8aad\u3093\u3060\u8ad6\u6587\u306b\u97f3\u8c61\u5fb4\u306e\u6a5f\u68b0\u5b66\u7fd2\u306b\u3088\u308b\u518d\u73fe\uff1a\u6700\u5f37\u306e\u30dd\u30b1\u30e2\u30f3\u306e\u751f\u6210\u3068\u3044\u3046\u30bf\u30a4\u30c8\u30eb\u3060\u3051\u3067\u9762\u767d\u3044\u8ad6\u6587\u304c\u3042\u3063\u305f\u3002\u4ee5\u524d\u3001\u3053\u306e\u8ad6\u6587\u3092\u53c2\u8003\u306b\u81ea\u5206\u3067\u30a2\u30ec\u30f3\u30b8\u3057\u3066\u30bc\u30df\u767a\u8868\u306b\u4f7f\u3063\u305f\u306e\u3067\u3001\u305d\u308c\u3092\u7d39\u4ecb\u3057\u3088\u3046\u3068\u601d\u3044\u307e\u3059!! \u4eca\u56de\u306f\u4ee5\u4e0b\u306e\u2026<\/p>\n","protected":false},"author":1,"featured_media":356,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[25],"tags":[28,7],"_links":{"self":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/333"}],"collection":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=333"}],"version-history":[{"count":3,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/333\/revisions"}],"predecessor-version":[{"id":336,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/posts\/333\/revisions\/336"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=\/wp\/v2\/media\/356"}],"wp:attachment":[{"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=333"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=333"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is-ai.jp\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=333"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}