blob: 3bfb947d5e74e6b1fd88eaec4fef505487561621 [file] [log] [blame]
#
# 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