data: | |
path_table: ./data/sick_train.csv | |
numerical_columns: | |
- age | |
- TSH | |
- T3 | |
- TT4 | |
- T4U | |
- FTI | |
categorical_columns: | |
- Class | |
- sex | |
- on_thyroxine | |
- query_on_thyroxine | |
- on_antithyroid_medication | |
- sick | |
- pregnant | |
- thyroid_surgery | |
- I131_treatment | |
- query_hypothyroid | |
- query_hyperthyroid | |
- lithium | |
- goitre | |
- tumor | |
- hypopituitary | |
- psych | |
- TSH_measured | |
- T3_measured | |
- TT4_measured | |
- T4U_measured | |
- FTI_measured | |
- referral_source | |
columns_to_drop: | |
- TBG | |
- TBG_measured | |
dropna: true | |
fillna: false | |
target_column: Class | |
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: sick_CFG | |