Python PenaltyParams Examples

Example #1

File: dppa_tempered-2d.py Project: oraisa/masters-thesis

import numpy as np
import dp_penalty
params = dp_penalty.PenaltyParams(
    tau = 0.2,
    prop_sigma = np.repeat(0.008 * 5, 2),
    r_clip_bound = 3.5,
    ocu = True,
    grw = True
)

Example #2

import numpy as np
import dp_penalty
params = dp_penalty.PenaltyParams(tau=0.07,
                                  prop_sigma=np.repeat(0.0002, 6),
                                  r_clip_bound=25,
                                  ocu=True,
                                  grw=True)

Example #3

import numpy as np
import dp_penalty
params = dp_penalty.PenaltyParams(tau=0.1,
                                  prop_sigma=np.repeat(0.0015, 10),
                                  r_clip_bound=2,
                                  ocu=False,
                                  grw=False)

Example #4

import numpy as np
import dp_penalty

params = dp_penalty.PenaltyParams(tau=0.1,
                                  prop_sigma=np.repeat(0.008, 2),
                                  r_clip_bound=1.8,
                                  ocu=True,
                                  grw=True)

Example #5

import numpy as np
import dp_penalty

params = dp_penalty.PenaltyParams(
    tau = 4,
    prop_sigma = np.repeat(0.3, 2),
    r_clip_bound = 0.002,
    ocu = True,
    grw = True
)

Example #6

import numpy as np
import dp_penalty

params = dp_penalty.PenaltyParams(tau=4,
                                  prop_sigma=np.repeat(0.2, 2),
                                  r_clip_bound=0.002,
                                  ocu=False,
                                  grw=False)

Example #7

File: dppa_easy-10d.py Project: oraisa/masters-thesis

import numpy as np
import dp_penalty
params = dp_penalty.PenaltyParams(tau=0.10,
                                  prop_sigma=np.repeat(0.0015, 10),
                                  r_clip_bound=3,
                                  ocu=True,
                                  grw=True)

Example #8

File: dppa_gauss-30d.py Project: oraisa/masters-thesis

import numpy as np
import dp_penalty
params = dp_penalty.PenaltyParams(
    tau=0.2,
    prop_sigma=np.repeat(
        0.00084,
        30),  #np.hstack((np.array((20, 7)), np.repeat(5, 28))) * 0.00024,
    r_clip_bound=3,
    ocu=True,
    grw=True)

Example #9

File: dpps_hard-2d.py Project: oraisa/masters-thesis

import numpy as np
import dp_penalty

params = dp_penalty.PenaltyParams(tau=0.20,
                                  prop_sigma=np.repeat(0.0015, 2),
                                  r_clip_bound=5.5,
                                  ocu=False,
                                  grw=False)

Example #10

import numpy as np
import dp_penalty
params = dp_penalty.PenaltyParams(
    tau = 0.06,
    prop_sigma = 0.00084,#np.hstack((np.array((20, 7)), np.repeat(5, 28))) * 0.00014,
    r_clip_bound = 3,
    ocu = False,
    grw = False
)