| # |
| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, software |
| # distributed under the License is distributed on an "AS IS" BASIS, |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| # See the License for the specific language governing permissions and |
| # limitations under the License. |
| # |
| |
| export PYTHONPATH=$PYTHONPATH:./internal/ml/model_selection |
| |
| |
| ############## frappe dataset ############## |
| |
| # run the 2phase-MS |
| python internal/ml/model_selection/exps/macro/anytime_simulate.py \ |
| --search_space mlp_sp \ |
| --num_layers 4 \ |
| --hidden_choice_len 20 \ |
| --batch_size 128 \ |
| --nfeat 5500 \ |
| --nfield 10 \ |
| --base_dir=/hdd1/xingnaili/exp_data/ \ |
| --dataset frappe \ |
| --num_labels 2 \ |
| --only_phase1 False \ |
| --is_simulate True \ |
| --device cpu \ |
| --log_folder any_time_frappe \ |
| --result_dir ./internal/ml/model_selection/exp_result/ \ |
| --num_points 5 |
| |
| |
| # run the training-free MS |
| python internal/ml/model_selection/exps/macro/anytime_simulate.py \ |
| --search_space mlp_sp \ |
| --num_layers 4 \ |
| --hidden_choice_len 20 \ |
| --batch_size 128 \ |
| --nfeat 5500 \ |
| --nfield 10 \ |
| --base_dir=/hdd1/xingnaili/exp_data/ \ |
| --dataset frappe \ |
| --num_labels 2 \ |
| --only_phase1 True \ |
| --is_simulate True \ |
| --device cpu \ |
| --log_folder any_time_frappe \ |
| --result_dir ./internal/ml/model_selection/exp_result/ \ |
| --num_points 5 |
| |
| |
| ############## uci dataset ############## |
| |
| # run the 2phase-MS |
| python internal/ml/model_selection/exps/macro/anytime_simulate.py \ |
| --search_space mlp_sp \ |
| --num_layers 4 \ |
| --hidden_choice_len 20 \ |
| --batch_size 128 \ |
| --nfeat 369 \ |
| --nfield 43 \ |
| --base_dir=/hdd1/xingnaili/exp_data/ \ |
| --dataset uci_diabetes \ |
| --num_labels 2 \ |
| --only_phase1 False \ |
| --is_simulate True \ |
| --device cpu \ |
| --log_folder any_time_uci_diabetes \ |
| --result_dir ./internal/ml/model_selection/exp_result/ \ |
| --num_points 5 |
| |
| |
| # run the training-free MS |
| python internal/ml/model_selection/exps/macro/anytime_simulate.py \ |
| --search_space mlp_sp \ |
| --num_layers 4 \ |
| --hidden_choice_len 20 \ |
| --batch_size 128 \ |
| --nfeat 369 \ |
| --nfield 43 \ |
| --base_dir=/hdd1/xingnaili/exp_data/ \ |
| --dataset uci_diabetes \ |
| --num_labels 2 \ |
| --only_phase1 True \ |
| --is_simulate True \ |
| --device cpu \ |
| --log_folder any_time_uci_diabetes \ |
| --result_dir ./internal/ml/model_selection/exp_result/ \ |
| --num_points 5 |
| |
| |
| ############## criteo dataset ############## |
| |
| # run the 2phase-MS |
| python internal/ml/model_selection/exps/macro/anytime_simulate.py \ |
| --search_space mlp_sp \ |
| --num_layers 4 \ |
| --hidden_choice_len 10 \ |
| --batch_size 128 \ |
| --nfeat 2100000 \ |
| --nfield 39 \ |
| --base_dir=/hdd1/xingnaili/exp_data/ \ |
| --dataset criteo \ |
| --num_labels 2 \ |
| --only_phase1 False \ |
| --is_simulate True \ |
| --device cpu \ |
| --log_folder any_time_criteo \ |
| --result_dir ./internal/ml/model_selection/exp_result/ \ |
| --num_points 5 |
| |
| |
| # run the training-free MS |
| python internal/ml/model_selection/exps/macro/anytime_simulate.py \ |
| --search_space mlp_sp \ |
| --num_layers 4 \ |
| --hidden_choice_len 10 \ |
| --batch_size 128 \ |
| --nfeat 2100000 \ |
| --nfield 39 \ |
| --base_dir=/hdd1/xingnaili/exp_data/ \ |
| --dataset criteo \ |
| --num_labels 2 \ |
| --only_phase1 True \ |
| --is_simulate True \ |
| --device cpu \ |
| --log_folder any_time_criteo \ |
| --result_dir ./internal/ml/model_selection/exp_result/ \ |
| --num_points 5 |
| |
| |
| |