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launcher_paper_deep_experiments.py
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launcher_paper_deep_experiments.py
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from datetime import datetime
start_time = datetime.now()
import os
import subprocess
from utils import *
nbr_seeds = 10
nbr_epochs = 300
lr_init = 0.0001
lr_milestones = [200]
lr_decay = 0.1
weight_decay = 1e-6
batchsize = 1000
train_ratio = 0.9
nbr_pulse_per_scan = 64
nbr_targets = 3000
nbr_RPs = 1000
estimator_RPs = "mean"
unit_norm = int(True)
nbr_modes_SAD = 1
SAD_ratio = 0.01
arch = "net0"
arch_suffix = "_"+arch
representation = "sp"
dataset_name = "{}targets-64bins-{}".format(nbr_targets, representation)
current_dir = os.path.dirname(os.path.abspath(__file__)) + '/'
experiment_name = "paper_deep_experiments"
init_comparison_df(experiment_name)
for nbr_modes in [1, 2]:
################################################################### DEEP EXPERIMENTS WITHOUT POLLUTION
#### SVDD & adaptations
subprocess.run(
["python", current_dir + "deep_svdd.py", "deep-svdd" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "AD", "deep-svdd", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_msvdd.py", "deep-msvdd" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan), str(nbr_targets), "AD", "deep-msvdd", arch, experiment_name])
subprocess.run(
["python", current_dir + "deep_msvdd.py", "deep-msvdd-meanbest" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan), str(nbr_targets), "AD", "deep-msvdd-meanbest", arch, experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-ssldata-sslcentroid" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SSL", "ssldata-sslcentroid", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-ssldata-away" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SSL", "ssldata-away", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-saddata-sadcentroid" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD", "saddata-sadcentroid", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-saddata-away" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD", "saddata-away", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-ssldata-sslcentroid_saddata-away" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD+SSL", "ssldata-sslcentroid_saddata-away", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-ssldata-away_saddata-sadcentroid" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD+SSL", "ssldata-away_saddata-sadcentroid", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-ssldata-sslcentroid_saddata-sadcentroid" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD+SSL", "ssldata-sslcentroid_saddata-sadcentroid", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-ssldata-away_saddata-away" + arch_suffix,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD+SSL", "ssldata-away_saddata-away", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
#### RPO & adaptations
subprocess.run(
["python", current_dir + "deep_rpo.py", "deep-rpo" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "AD", "deep-rpo", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-sslcentroid" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SSL", "ssldata-sslcentroid", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-away" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SSL", "ssldata-away", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-saddata-sadcentroid" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD", "saddata-sadcentroid", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-saddata-away" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD", "saddata-away", arch, str(nbr_modes_SAD),
str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-sslcentroid_saddata-away" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-sslcentroid_saddata-away", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-away_saddata-sadcentroid" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-away_saddata-sadcentroid", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-sslcentroid_saddata-sadcentroid" + arch_suffix, dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-sslcentroid_saddata-sadcentroid", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-away_saddata-away" + arch_suffix,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-away_saddata-away", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
################################################################### DEEP EXPERIMENTS WITH POLLUTION
#### SVDD & adaptations
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-saddata-contamination" + arch_suffix,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD", "saddata-contamination", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-ssldata-sslcentroid_saddata-contamination" + arch_suffix,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD+SSL", "ssldata-sslcentroid_saddata-contamination", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_svdd.py", "dsvdd-ssldata-away_saddata-contamination" + arch_suffix,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), "SAD+SSL", "ssldata-away_saddata-contamination", arch, str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
#### MSVDD & adaptations
subprocess.run(
["python", current_dir + "deep_msvdd.py", "dmsvdd-contamination" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan), str(nbr_targets), "SAD", "deep-msvdd", arch, experiment_name])
subprocess.run(
["python", current_dir + "deep_msvdd.py", "dmsvdd-meanbest-contamination" + arch_suffix, dataset_name, str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan), str(nbr_targets), "SAD", "deep-msvdd-meanbest", arch, experiment_name])
#### RPO & adaptations
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-saddata-contamination" + arch_suffix,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD", "saddata-contamination", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-sslcentroid_saddata-contamination" + arch_suffix,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-sslcentroid_saddata-contamination", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
subprocess.run(
["python", current_dir + "deep_rpo.py", "drpo-ssldata-away_saddata-contamination" + arch_suffix,
dataset_name,
str(nbr_modes),
str(nbr_epochs), str(batchsize),
str(lr_init), str(lr_decay), str(lr_milestones), str(weight_decay), str(nbr_seeds), str(train_ratio),
str(nbr_pulse_per_scan),
str(nbr_targets), estimator_RPs, str(nbr_RPs), "SAD+SSL", "ssldata-away_saddata-contamination", arch,
str(nbr_modes_SAD), str(SAD_ratio), experiment_name])
time_elapsed = datetime.now() - start_time
print("Complete execution time:", time_elapsed)