yatszhash

X = \left[
    \begin{array}{rrr}
      x_{01} &...& x_{0k} & ... & x_{0K} \\
      ... \\
       x_{t1} &...& x_{tk} & ... & x_{tK} \\
      ... \\
      x_{T1} &...& x_{Tk} & ... & x_{TK}
    \end{array}
    \right]

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MIT License

Copyright (c) 2018 yatszhash

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

yatszhash

  public static void setPrivateField(Object targetObj, String fieldName, Object value)
            throws NoSuchFieldException, IllegalAccessException
    {
        Class c = targetObj.getClass();
        Field field = c.getDeclaredField(fieldName);
        field.setAccessible(true);
        field.set(targetObj, value);
    }

    public static Object invokePrivateMethod(Object targetObj, String methodName,

yatszhash

import re
import numpy as np

class BaseMatcher(object):
    def __init__(self, pattern, threshold):
        self.pattern = pattern
        self.compiled_pattern = re.compile(pattern=self.pattern)
        self.threshold = threshold

    def match(self, X):

yatszhash

from sklearn.base import BaseEstimator
import numpy as np
import gensim
from itertools import chain
import MeCab

class TopicModelVectorizer(BaseEstimator):
    tagger = MeCab.Tagger("-Owakati")
    def __init__(self, topic_type, dic_file_name=None, model_file_name=None):
        self.topic_model = None

yatszhash

# coding: utf-8
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.base import BaseEstimator
import MeCab
import numpy as np
from itertools import chain


class JpTfidfVectorizer(TfidfVectorizer):
    tagger = MeCab.Tagger("-Owakati")