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  1. mcmc_7d/mcmc_samples_082_4_3_2.npy +3 -0
  2. mcmc_7d/mcmc_samples_4_2_1.npy +3 -0
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  4. mcmc_7d/simulated_samples_016_0_0_1_17.pkl +3 -0
  5. mcmc_7d/simulated_samples_016_1_1_0_13.pkl +3 -0
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  12. mcmc_7d/simulated_samples_016_3_4_1_13.pkl +3 -0
  13. mcmc_7d/simulated_samples_016_3_4_3_9.pkl +3 -0
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  17. mcmc_7d/simulated_samples_016_4_4_2_19.pkl +3 -0
  18. mcmc_7d/simulated_samples_078_0_0_1_3.pkl +3 -0
  19. mcmc_7d/simulated_samples_078_1_0_2_2.pkl +3 -0
  20. mcmc_7d/simulated_samples_078_1_1_0_5.pkl +3 -0
  21. mcmc_7d/simulated_samples_078_2_4_4_4.pkl +3 -0
  22. mcmc_7d/simulated_samples_078_3_0_3_9.pkl +3 -0
  23. mcmc_7d/simulated_samples_082_0_1_3_8.pkl +3 -0
  24. mcmc_7d/simulated_samples_082_2_0_0_4.pkl +3 -0
  25. mcmc_7d/simulated_samples_082_2_1_2_3.pkl +3 -0
  26. mcmc_7d/simulated_samples_082_2_4_4_8.pkl +3 -0
  27. mcmc_7d/simulated_samples_082_3_0_3_5.pkl +3 -0
  28. mcmc_7d/simulated_samples_082_3_1_1_2.pkl +3 -0
  29. mcmc_7d/simulated_samples_correction_082_0_3_2_103.pkl +3 -0
  30. mcmc_7d/simulated_samples_correction_082_0_3_2_117.pkl +3 -0
  31. mcmc_7d/simulated_samples_correction_082_0_4_2_198.pkl +3 -0
  32. simulation_data_Tube_MLslurm_cluster/README.md +32 -0
  33. simulation_data_Tube_MLslurm_cluster/all_seeds_train.npy +3 -0
  34. simulation_data_Tube_MLslurm_cluster/close_to_xo_circuit_parameters.pkl +3 -0
  35. simulation_data_Tube_MLslurm_cluster/close_to_xo_circuit_parameters_016.pkl +3 -0
  36. simulation_data_Tube_MLslurm_cluster/close_to_xo_circuit_parameters_078.pkl +3 -0
  37. simulation_data_Tube_MLslurm_cluster/close_to_xo_circuit_parameters_min_burst_condition_016.pkl +3 -0
  38. simulation_data_Tube_MLslurm_cluster/close_to_xo_circuit_parameters_min_burst_condition_078.pkl +3 -0
  39. simulation_data_Tube_MLslurm_cluster/close_to_xo_seeds.npy +3 -0
  40. simulation_data_Tube_MLslurm_cluster/close_to_xo_seeds_016.npy +3 -0
  41. simulation_data_Tube_MLslurm_cluster/close_to_xo_seeds_016.pkl.npy +3 -0
  42. simulation_data_Tube_MLslurm_cluster/close_to_xo_seeds_078.npy +3 -0
  43. simulation_data_Tube_MLslurm_cluster/close_to_xo_seeds_min_burst_condition_016.npy +3 -0
  44. simulation_data_Tube_MLslurm_cluster/close_to_xo_seeds_min_burst_condition_078.npy +3 -0
  45. simulation_data_Tube_MLslurm_cluster/close_to_xo_simulation_outputs.pkl +3 -0
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  48. simulation_data_Tube_MLslurm_cluster/close_to_xo_simulation_outputs_min_burst_condition_016.pkl +3 -0
  49. simulation_data_Tube_MLslurm_cluster/close_to_xo_simulation_outputs_min_burst_condition_078.pkl +3 -0
  50. simulation_data_Tube_MLslurm_cluster/twohundred_predictives_individual_currents.npy +3 -0
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+ This folder contains:
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+ ```python
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+ all_circuit_parameters_train.pickle
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+ all_simulation_outs_train.pickle
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+ all_seeds_train.npy
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+ ```
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+
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+ The first two are pandas dataframes which contain the `valid` theta and x from **all**
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+ rounds.
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+
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+ In addition, it contains folder:
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+ ```python
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+ 01_simulate_11deg
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+ 01_simulate_11deg_R2
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+ 01_simulate_11deg_R3
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+ ```
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+ These contain the raw simulations from all three rounds of rejection classifier. In each
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+ round, we ran 3 million simulations.
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+
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+ In addition, it contains:
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+ ```python
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+ simulate_11deg_R3_predictives_at_11deg
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+ simulate_11deg_R3_predictives_at_27deg
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+ ```
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+ which are posterior predictives of the 11deg posterior. Simulated at 11degree and 27 degree, respectively. At 11 degree, we have 17*6*10000 simulations. At 27 degree, as this is training data, we have 12*40*10000.
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+
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+ Lastly, it contains:
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+ ```python
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+ simulate_27deg_R4_predictives_at_11deg
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+ simulate_27deg_R4_predictives_at_27deg
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+ ```
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+ They include the predictive samples from the posterior at 11deg+27deg. Each of them are around 1million simulations (17*6*10000).
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