#!/bin/bash
set -x

#dataset=RCV1.C4
#iter=50
#k=100
#initsize=1000
#initprev=0.5
#seed=1
#
#commons="--dataset $dataset --iter $iter --k $k --initsize $initsize --initprev $initprev --seed $seed"
#
#for Q in PCC ACC PACC EMQ HDy ; do
#  for sampling in relevance_sampling uncertainty_sampling mix_sampling ; do
#    PYTHONPATH='.:..' python3 main.py --quantifier $Q --sampling $sampling $commons
#    PYTHONPATH='.:..' python3 plot.py "./results/$dataset"_"$sampling"_"$Q.csv" 0
#  done
#done

dataset=RCV1.C4
iter=40
k=100
initsize=500
initprev=-1
seed=1
Q=RPACC
CLS=lr

for sampling in relevance_sampling uncertainty_sampling adaptive_sampling mix_sampling ; do

  filepath="./results/classifier:"$CLS"__dataset:"$dataset"__initprev:"$initprev"__initsize:"$initsize"__iter:"$iter"__k:"$k"__quantifier:"$Q"__sampling:"$sampling"__seed:"$seed".csv"
  PYTHONPATH='.:..' python3 main.py --quantifier $Q --classifier $CLS --sampling $sampling --dataset $dataset --iter $iter --k $k --initsize $initsize --initprev $initprev --seed $seed

done