Created
January 23, 2018 15:52
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Code sample for initializing PyDREAM
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| kpbf = SampledParam(uniform, loc=-4, scale=6) | |
| kpf = SampledParam(uniform, loc=-4, scale=6) | |
| kdf = SampledParam(uniform, loc=-4, scale=6) | |
| kfps = SampledParam(uniform, loc=-4, scale=6) | |
| krps = SampledParam(uniform, loc=-4, scale=6) | |
| kdcc = SampledParam(uniform, loc=-4, scale=6) | |
| dc = SampledParam(uniform, loc=-1, scale=3) | |
| dh = SampledParam(uniform, loc=1, scale=4) | |
| parameter_vector = [kpbf, kpf, kdf, kfps, krps, kdcc, dc, dh] | |
| # parameter_vector = [SampledParam(uniform, loc=np.array([-4,-4,-4,-4,-4,-4,-1,1]), scale=np.array([6,6,6,6,6,6,3,4]))] | |
| num_params = 8 | |
| n_iter = 100000 | |
| p_iter = 10000 | |
| converged = False | |
| total_iter = n_iter | |
| nchains = 6 | |
| if __name__ == '__main__': | |
| # init_params = uniform(loc=np.array([-4,-4,-4,-4,-4,-4,-1,1]), scale=np.array([6,6,6,6,6,6,3,4])).rvs((nchains, num_params)) | |
| init_params = None | |
| sampled_params, log_ps = run_dream(parameters=parameter_vector, likelihood=likelihood, start=init_params, niterations=n_iter, nchains=nchains, model_name='rab_v15', verbose=True) |
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