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abcd_experiments.sh
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abcd_experiments.sh
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#!/bin/bash -l
# Copyright 2020 Juan L Gamella
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# 3. Neither the name of the copyright holder nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
# FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
# COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
# INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
# ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
# ----------------------------------------------------------------------------
# Commands to run the experiments on the same dataset as ABCD
# First, generate the dataset
python -m src.run_experiments --save_dataset dataset --G 100 --k 3 --p_min 12 --p_max 12 --w_min 0.5 --w_max 1 --var_min 0 --var_max 1 --int_min 0 --int_max 1 --random_state 0
mv dataset_* dataset
# It must be copied over to the ABCD repository to run ABCD on it; instructions can be found there.
# Run A-ICP on the dataset
# 3 jobs for the different initial sample sizes (50,100,100)
python -m src.run_experiments --load_dataset dataset --n_workers -1 --runs 4 --i_mean 7 --i_var 1 --max_iter 50 --alpha 0.002 --finite --n 10 --n_obs 50 --abcd --tag abcd
python -m src.run_experiments --load_dataset dataset --n_workers -1 --runs 4 --i_mean 7 --i_var 1 --max_iter 50 --alpha 0.002 --finite --n 10 --n_obs 100 --abcd --tag abcd
python -m src.run_experiments --load_dataset dataset --n_workers -1 --runs 4 --i_mean 7 --i_var 1 --max_iter 50 --alpha 0.002 --finite --n 10 --n_obs 1000 --abcd --tag abcd