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{
  "hoge": "foo"
}

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private static class MessageDataSerializer extends JsonDeserializer<MessageData> {

        @Override
        public MessageData deserialize(final JsonParser p,
                                       final DeserializationContext ctxt)
                throws ValidationException {
            try {
                final var treeNodeText = ((TextNode) p.getCodec().readTree(p)).asText();
                final var decoded = decodeBase64Data(treeNodeText);
                return OBJECT_MAPPER.readValue(decoded, MessageData.class);

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import java.net.URI;
import java.util.Map;
import java.util.stream.Collectors;
import java.util.stream.Stream;
import lombok.AccessLevel;
import lombok.Builder;
import lombok.RequiredArgsConstructor;
import lombok.ToString;
import org.springframework.lang.NonNull;
import org.springframework.web.util.UriComponentsBuilder;

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import static java.nio.charset.StandardCharsets.UTF_8;


import com.google.api.client.auth.oauth.OAuthHmacSigner;
import java.security.GeneralSecurityException;
import java.security.SecureRandom;
import java.time.Instant;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.stream.Collectors;

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from collections import Counter
from itertools import chain, combinations
from tqdm import tqdm

class BitermConverter:
    
    def __init__(self, include_docs=False, min_df=1):
        self.biterms = Counter()
        self.include_docs = include_docs
        self.min_df = min_df

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import numpy as np
import scipy.linalg.blas as slb
import time

M = 10000
N = 6000
k_list = [64, 128, 256, 512, 1024, 2048, 4096, 8192]

np.show_config()

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'''
requirement : janome, pandas
'''

import re
from janome.tokenizer import Tokenizer
import unicodedata
from html import unescape
import pandas as pd

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2010

2 Online Variational Bayes for latent Dirichlet allocation

tips

• betaは共通である仮定
• 二乗誤差を最適化する手法による拡張

2.2 Online variational inference for LDA

batchによる変分ベイズ法のアルゴリズムは一定のメモリー空間を必要とし，CGBより高速であることがわかっている．

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Hello World