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binary-ddpm-tabular

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binary-ddpm-tabular
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data:
  path_table: ./data/diabetes_train.csv
  numerical_columns:
  - num_lab_procedures
  - num_procedures
  - num_medications
  - number_outpatient
  - number_emergency
  - number_inpatient
  - number_diagnoses
  - time_in_hospital
  categorical_columns:
  - race
  - gender
  - age
  - weight
  - admission_type_id
  - discharge_disposition_id
  - admission_source_id
  - payer_code
  - medical_specialty
  - diag_1
  - diag_2
  - diag_3
  - max_glu_serum
  - A1Cresult
  - metformin
  - repaglinide
  - nateglinide
  - chlorpropamide
  - glimepiride
  - acetohexamide
  - glipizide
  - glyburide
  - tolbutamide
  - pioglitazone
  - rosiglitazone
  - acarbose
  - miglitol
  - troglitazone
  - tolazamide
  - examide
  - citoglipton
  - insulin
  - glyburide-metformin
  - glipizide-metformin
  - glimepiride-pioglitazone
  - metformin-rosiglitazone
  - metformin-pioglitazone
  - change
  - diabetesMed
  columns_to_drop:
  - encounter_id
  - patient_nbr
  dropna: true
  fillna: false
  target_column: readmitted
  split_feature_target: true
  task: classification
model:
  dim: 256
  n_res_blocks: 3
diffusion:
  schedule: quad
  n_timesteps: 1000
  target: two_way
trainer:
  train_num_steps: 500000
  log_every: 100
  save_every: 10000
  save_num_samples: 64
  max_grad_norm: null
  gradient_accumulate_every: 1
  ema_decay: 0.995
  ema_update_every: 10
  lr: 0.0001
  opt_type: adam
  opt_params: null
  batch_size: 256
  dataloader_workers: 16
  classifier_free_guidance: true
  zero_token_probability: 0.1
fine_tune_from: null
comment: diabetes_CFG