parameters.json

{
  "exp_param": {
    "experiments_dir": "/path/to/the/directory/where/to/save/everything",
    "GPU": [
      0
    ]
  },
  "experiments": {
    "name_your_experiment": {
      "input_ds": {
        "clustering": {
          "res": 0.15
        },
        "filtering": {
          "min_cells": 3,
          "min_genes": 10
        },
        "raw_input": "/path/to/the/directory/containing/the/raw/data.h5ad",
        "scale": "normalize_per_cell_LS_20000",
        "split": {
          "balanced_split": true,
          "split_seed": "default",
          "test_cells": 0,
          "valid_cells": 2000
        }
      },
      "training": {
        "max_steps": 1000000,
        "learning_rate": {
          "decay": true,
            "alpha_0": 0.0001,
            "alpha_final": 0.00001
        },
        "optimizer": {
          "algorithm": "AMSGrad",
          "beta1": 0.5,
          "beta2": 0.9
        },
        "batch_size": 128,
        "critic_iters": 5,
        "checkpoint": null,
        "progress_freq": 10,
        "validation_freq":1000,
        "save_freq": 1000,
        "summary_freq": 50
      },
      "model": {
        "type": "cscGAN",
        "latent_dim": 128,
        "output_LSN": 20000,
        "critic_layers": [
          1024,
          512,
          256
        ],
        "gen_layers": [
          256,
          512,
          1024
        ],
        "critic_cond_type": "proj",
        "gen_cond_type": "batchnorm",
        "lambd": 10
      }
    }
  }
}