[parameters]
mutate_ops=WS GF NEB NAI NS ARem ARep LA LC LR LS MLA
metrics=D_MAD
#metrics=deepgini
exps=mobilenet.1.00.224-imagenet
# lexnet-cifar10 lenet5-fashion-mnist fashion2 svhn  lenet5-mnist alexnet-cifar10 mobilenet.1.00.224-imagenet vgg16-imagenet
# Path of the initial models
# Name model file as 'alexnet-cifar10_origin.h5'

origin_model_dir=origin_model

# Path of the ImageNet and regression dataset
dataset_dir=lemon_master/dataset

# Modifying the backends is not recommended.
# There is some hard-code in the program about the backends
backend=tensorflow mxnet
#..python_prefix = /root/anaconda3/envs/
python_prefix=/opt/conda/envs/
# python_prefix=/root/miniconda3/envs/

output_dir = lemon_outputs
mutate_num=20 

test_size=10
pool_size=50
mutate_ratio=0.3
gpu_ids = 0,1
threshold = 0.4
# minutes
time_limit = 3
# use MCMC for mutator selection
mutator_strategy = MCMC

# use Roulette for mutant selection
mutant_strategy = Roulette

# use counter,timing
stop_mode=counter


[redis]
# your-redis-server
host= 127.0.0.1
# redis port
port= 6379
# db number
redis_db= 0