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Upload models, transformations and training configurations
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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