#!/bin/bash

class_vs_reg=classification
gpu=0
for task in `seq 0 4`
do
    for fold in `seq 0 9`
    do
	CUDA_VISIBLE_DEVICES=$gpu kerasAC_interpret  \
			    --input_bed_file=gecco.variants.in.overlap.peaks.bed \
			    --ref_col Ref \
			    --alt_col Alt \
			    --compute_gc \
			    --flank 500 \
			    --chrom_col Chrom \
			    --pos_col Pos0 \
			    --rsid_col Rsid \
			    --ref_fasta /mnt/data/male.hg19.fa \
			    --batch_size 1600 \
			    --load_model_hdf5 /srv/scratch/annashch/deeplearning/gecco/gc_corrected/$class_vs_reg/gecco.$class_vs_reg\labels.$fold.withgc \
			    --target_layer -2 \
			    --task_index $task \
			    --output_npz_file deepshap.$class_vs_reg.$fold.$task \
			    --generator_type snp \
			    --interp_method deepshap \
			    --expand_dims
    done
done