def memmap_hash(memmap_description):
return hashlib.sha1(
json.dumps(memmap_description).encode()).hexdigest()[:10]
datasets = {'dodo': DODO_SETTINGS, 'dodh': DODH_SETTINGS}
experiments_directory = 'scripts/model_size/'
experiments = [
experiment for experiment in os.listdir(experiments_directory)
if os.path.isdir(experiments_directory + experiment)
]
run_experiments(experiments,
experiments_directory,
EXPERIMENTS_DIRECTORY,
datasets=datasets)
# format json for dod evaluation
experiments_folder = {
'dodo': f"{EXPERIMENTS_DIRECTORY}dodo/",
'dodh': f"{EXPERIMENTS_DIRECTORY}dodh/"
}
table = 'model_size'
for dataset in datasets:
algo_names = os.listdir(experiments_folder[dataset])
for algo_name in algo_names:
directories_with_experiments = experiments_folder[
dataset] + algo_name + '/'
records = os.listdir(directories_with_experiments)
for record in records:
import hashlib
import json
import os
from dreem_learning_open.settings import EXPERIMENTS_DIRECTORY
from dreem_learning_open.settings import MASS_SETTINGS
from dreem_learning_open.utils.run_experiments import run_experiments
def memmap_hash(memmap_description):
return hashlib.sha1(
json.dumps(memmap_description).encode()).hexdigest()[:10]
datasets = {'mass': MASS_SETTINGS}
experiments_directory = 'scripts/mass/'
experiments = os.listdir(experiments_directory)
run_experiments(experiments,
experiments_directory,
EXPERIMENTS_DIRECTORY,
datasets=datasets,
error_tolerant=False)
from dreem_learning_open.settings import DODH_SETTINGS
from dreem_learning_open.settings import EXPERIMENTS_DIRECTORY
from dreem_learning_open.utils.run_experiments import run_experiments
def memmap_hash(memmap_description):
return hashlib.sha1(
json.dumps(memmap_description).encode()).hexdigest()[:10]
datasets = {'dodh': DODH_SETTINGS}
experiments_directory = 'scripts/base_experiments/'
run_experiments(['chambon_et_al'],
experiments_directory,
EXPERIMENTS_DIRECTORY,
datasets=datasets,
fold_to_run=list(range(14, 25)))
run_experiments(['tsinalis_et_al', 'deep_sleep_net'],
experiments_directory,
EXPERIMENTS_DIRECTORY,
datasets=datasets)
# format json for dod evaluation
experiments_folder = {
'dodo': f"{EXPERIMENTS_DIRECTORY}dodo/",
'dodh': f"{EXPERIMENTS_DIRECTORY}dodh/"
}
table = 'base_experiments'
for dataset in datasets:
algo_names = os.listdir(experiments_folder[dataset])