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run_all.sh
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16 lines (14 loc) · 1.07 KB
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#!/bin/bash
for d in "cif_2016_dataset" "m1_quarterly_dataset" "fred_md_dataset" "tourism_quarterly_dataset" "solar_weekly_dataset" "electricity_weekly_dataset" "nn5_daily_dataset_without_missing_values" "tourism_monthly_dataset" "m1_monthly_dataset" "nn5_weekly_dataset" "hospital_dataset" "m3_quarterly_dataset" "car_parts_dataset_without_missing_values" "m4_weekly_dataset" "traffic_weekly_dataset" "m3_monthly_dataset" "m4_hourly_dataset" "dominick_dataset"
do
for m in "deepar" "deepstate" "deepfactor" "deeprenewal" "gpforecaster" "mqcnn" "mqrnn" "nbeats" "tempfus" "wavenet" "feedforward"
do
for s in "42" "135" "468" "129" "124" "-1"
do
python run.py --dataset $d --model $m --ds-seed $s --output-dir /data/d1/xpcr/logs
done
done
python run.py --dataset $d --model autokeras --ds-seed -1 --output-dir /data/d1/xpcr/baselines
python run.py --dataset $d --model autosklearn --ds-seed -1 --output-dir /data/d1/xpcr/baselines
python run.py --dataset $d --model autogluon --ds-seed -1 --output-dir /data/d1/xpcr/baselines
done