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config.yml.default
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config.yml.default
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general:
channels: 3
padding: 32
meta:
exams_to_consider:
- t2_tse_tra
- PD
- ADC_tra
layers_path: models/intermediate_outputs/
registered_path: data/interim/train_registered/
unregistered_path: data/interim/train/
preprocessing:
apply: true
augmentation:
histogram_method: None
augmented_ds_size: 2500
interpolation: cubic
rescale: true
rescale_method: normalize
use_augmentation: false
train:
batch_size: 1
callbacks:
early_stopping:
apply: true
min_delta: 0.001
mode: auto
monitor: val_loss
patience: 10
use_default_params: false
verbose: 1
lr_reduce:
apply: false
cooldown: 5
factor: 0.5
min_delta: 0.001
min_lr: 1.0e-07
monitor: val_loss
patience: 5
use_default_params: false
verbose: 2
epochs: 100
fit_model: true
gridsearch_number_tries: 20
n_runs: 3
optimizers:
amsgrad: false
architecture: crfxmasnet
crf_num_iterations: 5
crf_theta_alpha: 0.5
crf_theta_beta: 2.0
crf_theta_gamma: 2.0
decay: 0
lr: 0.001
momentum: 0.999
nesterov: false
use: adam
use_default_params: false
save_intermediate_outputs: false
train_val_split: 0.7
use_gridsearch: true