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ablation_experiments.py
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# assumes run from parent directory
from plumbum import local, FG
import os
import yaml
import numpy as np
def main():
# Harnet ablations
model_types = ['CRNN', 'harnet', 'harnet_unfrozen', 'harnet_random', 'RNN', 'rf']
low_data = [False, True]
dataset_names = ['baglione_crows',
'jeantet_turtles',
'pagano_bears',
'maekawa_gulls',
'HAR',
'friedlaender_whales',
'ladds_seals',
'vehkaoja_dogs',
'desantis_rattlesnakes',
]
for model_type in model_types:
for low_data_setting in low_data:
for dataset_name in dataset_names:
if low_data_setting:
experiment_name = f'{dataset_name}_{model_type}_low_data_nogyr'
local['python']['cross_val_experiment.py',
'--experiment-dir-parent=/home/jupyter/behavior_benchmarks_experiments',
f'--experiment-name={experiment_name}',
f'--dataset-dir=/home/jupyter/behavior_data_local/{dataset_name}',
f'--model={model_type}',
'--nogyr',
'--no-cutoff',
'--resume',
'--low-data-setting'
] & FG
else:
experiment_name = f'{dataset_name}_{model_type}_nogyr'
local['python']['cross_val_experiment.py',
'--experiment-dir-parent=/home/jupyter/behavior_benchmarks_experiments',
f'--experiment-name={experiment_name}',
f'--dataset-dir=/home/jupyter/behavior_data_local/{dataset_name}',
f'--model={model_type}',
'--nogyr',
'--no-cutoff',
'--resume'
] & FG
# Harnet ablations: wavelets, where we do use cutoff frequency as a hyperparam
model_types = ['wavelet_RNN']
low_data = [True] # False: hyperparam selection takes too long
dataset_names = ['baglione_crows',
'jeantet_turtles',
'pagano_bears',
'maekawa_gulls',
'HAR',
'friedlaender_whales',
'ladds_seals',
'vehkaoja_dogs',
'desantis_rattlesnakes',
]
for model_type in model_types:
for low_data_setting in low_data:
for dataset_name in dataset_names:
if low_data_setting:
experiment_name = f'{dataset_name}_{model_type}_low_data_nogyr'
local['python']['cross_val_experiment.py',
'--experiment-dir-parent=/home/jupyter/behavior_benchmarks_experiments',
f'--experiment-name={experiment_name}',
f'--dataset-dir=/home/jupyter/behavior_data_local/{dataset_name}',
f'--model={model_type}',
'--nogyr',
'--resume',
'--low-data-setting'
] & FG
else:
experiment_name = f'{dataset_name}_{model_type}_nogyr'
local['python']['cross_val_experiment.py',
'--experiment-dir-parent=/home/jupyter/behavior_benchmarks_experiments',
f'--experiment-name={experiment_name}',
f'--dataset-dir=/home/jupyter/behavior_data_local/{dataset_name}',
f'--model={model_type}',
'--nogyr',
'--resume'
] & FG
# Low data ablations (with all data channels)
model_types = ['CRNN', 'rf']
low_data = [True] # false is already done in general experiments
dataset_names = ['baglione_crows',
'jeantet_turtles',
'pagano_bears',
'maekawa_gulls',
'HAR',
'friedlaender_whales',
'ladds_seals',
'vehkaoja_dogs',
'desantis_rattlesnakes',
]
for model_type in model_types:
for low_data_setting in low_data:
for dataset_name in dataset_names:
if low_data_setting:
experiment_name = f'{dataset_name}_{model_type}_low_data'
local['python']['cross_val_experiment.py',
'--experiment-dir-parent=/home/jupyter/behavior_benchmarks_experiments',
f'--experiment-name={experiment_name}',
f'--dataset-dir=/home/jupyter/behavior_data_local/{dataset_name}',
f'--model={model_type}',
'--no-cutoff',
'--resume',
'--low-data-setting'
] & FG
else:
experiment_name = f'{dataset_name}_{model_type}'
local['python']['cross_val_experiment.py',
'--experiment-dir-parent=/home/jupyter/behavior_benchmarks_experiments',
f'--experiment-name={experiment_name}',
f'--dataset-dir=/home/jupyter/behavior_data_local/{dataset_name}',
f'--model={model_type}',
'--no-cutoff',
'--resume'
] & FG
if __name__ == "__main__":
main()