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"""Particle Filter
"""

import numpy as np
from tqdm import tqdm
from empirical_dist import EmpiricalDist

class ParticleFilter():
    def __init__(self, init_particles, system_model, obs_model, params):
        n_particles, _ = init_particles.shape

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"""経験分布関数の作成とそこからのサンプル
"""

import numpy as np
from kernel_density_estimation import KDE


class EmpiricalDist:
    def __init__(self, minmax=(0., 1.), dx=0.01, kde_width=0.05):
        """EmpiricalDist

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"""Kernel密度推定
- Parzen窓 : kde_parzen(X, tgt_point, h)
- Gaussian KDE : kde_gauss(X, tgt_point, h)
"""

import numpy as np
from scipy import stats


class KDE:

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"""ヒストグラム密度推定
"""

import numpy as np

class HDE():
    def __init__(self):
        self.bins = None
        self.dxs = None