data:
  path_table: ./data/housing_train.csv
  numerical_columns:
  - longitude
  - latitude
  - housing_median_age
  - total_rooms
  - total_bedrooms
  - population
  - households
  - median_income
  - median_house_value
  categorical_columns:
  - ocean_proximity
  columns_to_drop: null
  dropna: true
  fillna: false
  target_column: median_house_value
  split_feature_target: true
  task: regression
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: housing_CFG