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Copy pathWINDOW_BASED_scaler.sh
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37 lines (30 loc) · 4.07 KB
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#!/bin/bash
# re-install the packages
pip uninstall -y neuralprophet
pip install git+https://github.com/ourownstory/neural_prophet.git@normalization-layer
pip uninstall -y darts
pip install git+https://github.com/LeonieFreisinger/darts.git@revin_nonlearnable#egg=darts
### all NP-based variants and RNN instance
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_wb --heterogeneity_type "amplitude" --sample_upper_limit 9.0 --gen_func "gen_model_and_params_norm" > aoutfile0 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_sw_wb --heterogeneity_type "amplitude" --sample_upper_limit 8.0 --gen_func "gen_model_and_params_norm" > aoutfilet1 &
nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_in --heterogeneity_type "amplitude" --sample_upper_limit 9.0 --gen_func "gen_model_and_params_none" > aoutfile2 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_wb --heterogeneity_type "offset" --sample_upper_limit 9.0 --gen_func "gen_model_and_params_norm" > ooutfile0 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_sw_wb --heterogeneity_type "offset" --sample_upper_limit 2.0 --gen_func "gen_model_and_params_norm" > ooutfilet1 &
nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_in --heterogeneity_type "offset" --sample_upper_limit 2.0 --gen_func "gen_model_and_params_none" > ooutfile2 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_wb --heterogeneity_type "trend" --sample_upper_limit 9.0 --gen_func "gen_model_and_params_norm" > toutfile0 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_sw_wb --heterogeneity_type "trend" --sample_upper_limit 2.0 --gen_func "gen_model_and_params_norm" > toutfilet1 &
nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_in --heterogeneity_type "trend" --sample_upper_limit 4.0 --gen_func "gen_model_and_params_none" > toutfile2 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_wb --heterogeneity_type "heteroscedasticity" --sample_upper_limit 5.0 --gen_func "gen_model_and_params_norm" > houtfile0 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_sw_wb --heterogeneity_type "heteroscedasticity" --sample_upper_limit 1.0 --gen_func "gen_model_and_params_norm" > houtfilet1 &
nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_in --heterogeneity_type "heteroscedasticity" --sample_upper_limit 6.0 --gen_func "gen_model_and_params_none" > houtfile2 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_wb --heterogeneity_type "structural_break" --sample_upper_limit 3.0 --gen_func "gen_model_and_params_norm" > soutfile0 &
nohup python EXP_SYN_DATA.py --model NeuralProphetModel --params NP_FNN_sw_wb --heterogeneity_type "structural_break" --sample_upper_limit 1.0 --gen_func "gen_model_and_params_norm" > soutfilet1 &
nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_in --heterogeneity_type "structural_break" --sample_upper_limit 5.0 --gen_func "gen_model_and_params_none" > soutfile2 &
# re-install for RNN_ba
# pip uninstall -y darts
# pip install git+https://github.com/LeonieFreisinger/darts.git@revba_nonlearnable#egg=darts
# nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_ba --heterogeneity_type "amplitude" --sample_upper_limit 9.0 --gen_func "gen_model_and_params_none" > aoutfile4 &
# nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_ba --heterogeneity_type "offset" --sample_upper_limit 2.0 --gen_func "gen_model_and_params_none" > ooutfile4 &
# nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_ba --heterogeneity_type "trend" --sample_upper_limit 4.0 --gen_func "gen_model_and_params_none" > toutfile4 &
# nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_ba --heterogeneity_type "heteroscedasticity" --sample_upper_limit 6.0 --gen_func "gen_model_and_params_none" > houtfile4 &
# nohup python EXP_SYN_DATA.py --model RNNModel --params RNN_wb_ba --heterogeneity_type "structural_break" --sample_upper_limit 5.0 --gen_func "gen_model_and_params_none" > soutfile4 &