Unconstraint
----------
- total of 40 studies
- fixed parameters are : ['gradient_kwargs', 'verbose', 'report', 'max_nb_of_iter', 'data', 'gradient_cls']
- floatting parameters are : ['mu', 'linear_cls', 'linear_kwargs']
-- 'mu' takes values [5e-07, 1e-06, 2e-06, 3e-06, 5e-06]
-- 'linear_cls' takes values [<class 'pisap.numerics.linears.MallatWaveletTransform7_9Filters'>, <class 'pisap.numerics.linears.MeyerWaveletsCompactInFourierSpace'>]
-- 'linear_kwargs' takes values [{'maxscale': 3}, {'maxscale': 4}, {'maxscale': 5}, {'maxscale': 6}]
- best score for compute_ssim is 0.845118440137obtained with parameters #38
- {'data': array([[ 373.8576 +0.j , ..., -281.6154 -31.545j ],
...,
[-217.8377-187.4362j, ..., 143.9425+174.6482j]]),
'gradient_cls': <class 'pisap.numerics.gradient.Grad2DAnalyse'>,
'gradient_kwargs': {'ft_cls': <pisap.numerics.fourier.FFT object at 0x7f71a1b88e90>},
'linear_cls': <class 'pisap.numerics.linears.MeyerWaveletsCompactInFourierSpace'>,
'linear_kwargs': {'maxscale': 5},
'max_nb_of_iter': 25,
'mu': 5e-06,
'report': False,
'verbose': 0}
- best score for compute_snr is 3.79423700418obtained with parameters #36
- {'data': array([[ 373.8576 +0.j , ..., -281.6154 -31.545j ],
...,
[-217.8377-187.4362j, ..., 143.9425+174.6482j]]),
'gradient_cls': <class 'pisap.numerics.gradient.Grad2DAnalyse'>,
'gradient_kwargs': {'ft_cls': <pisap.numerics.fourier.FFT object at 0x7f71a1b88e90>},
'linear_cls': <class 'pisap.numerics.linears.MeyerWaveletsCompactInFourierSpace'>,
'linear_kwargs': {'maxscale': 3},
'max_nb_of_iter': 25,
'mu': 5e-06,
'report': False,
'verbose': 0}
- best score for compute_psnr is -20.3633761018obtained with parameters #36
- {'data': array([[ 373.8576 +0.j , ..., -281.6154 -31.545j ],
...,
[-217.8377-187.4362j, ..., 143.9425+174.6482j]]),
'gradient_cls': <class 'pisap.numerics.gradient.Grad2DAnalyse'>,
'gradient_kwargs': {'ft_cls': <pisap.numerics.fourier.FFT object at 0x7f71a1b88e90>},
'linear_cls': <class 'pisap.numerics.linears.MeyerWaveletsCompactInFourierSpace'>,
'linear_kwargs': {'maxscale': 3},
'max_nb_of_iter': 25,
'mu': 5e-06,
'report': False,
'verbose': 0}
- best score for compute_nrmse is 1.04951613061obtained with parameters #36
- {'data': array([[ 373.8576 +0.j , ..., -281.6154 -31.545j ],
...,
[-217.8377-187.4362j, ..., 143.9425+174.6482j]]),
'gradient_cls': <class 'pisap.numerics.gradient.Grad2DAnalyse'>,
'gradient_kwargs': {'ft_cls': <pisap.numerics.fourier.FFT object at 0x7f71a1b88e90>},
'linear_cls': <class 'pisap.numerics.linears.MeyerWaveletsCompactInFourierSpace'>,
'linear_kwargs': {'maxscale': 3},
'max_nb_of_iter': 25,
'mu': 5e-06,
'report': False,
'verbose': 0}