program: metalearn/train_caml.py
method: grid
metric:
  goal: maximize
  name: "best_Mean Val rate @ 0.998_value"

parameters:
  max_train_drugs:
    values: [1] ## add 4

  num_covariates_layer:
    values: [2]

  num_treatment_layer:
    values: [4]

  dropout:
    values: [0.1]

  l1_reg:
    values: [5e-7]

  dim_hidden_treatment:
    values: [128]

  dim_hidden_covariates:
    values: [256]

  learning_rate:
    values: [0.0003]

  sin_weight_decay:
    values: [0.005]

  caml_k:
    values: [50]

  independence_regularisation_coeff:
    values: [0.0]

  batch_norm:
    values: ["true"]

  deterministic_sample:
    values: ["false"]

  all_tasks_baseline:
    values: ["false"]

  task_sample_weighting:
    values: ["enable"]

  graphite_learner:
    values: ["true"]

  task_embedding_config:
    values: ["early_concat"]

  use_task_embeddings:
    values: ["true"]

  step:
    values: ["y0"]

  n_iterations:
    values: [10000]

  val_interval:
    values: [50]

  meta_batch_size:
    values: [1]

  batch_size:
    values: [512]

  dummy_repetition:
    values: [0,1,2,3,4,5,6,7]

  TEST_MODE:
    values: ['true']

  output_suffix:
    values: ['graphite_learner_table3']

  val_test_location:
    values: ['metalearn/splits/icml_new_pair_split.csv']
