# All Rights Reserved
#
# This software is distributed under the terms of the Eclipse Public
# License, Version 1.0 which can be found in the file named LICENSE.
# ANY USE, REPRODUCTION OR DISTRIBUTION OF THIS SOFTWARE CONSTITUTES
# RECIPIENT'S ACCEPTANCE OF THIS AGREEMENT
import sys
sys.path.append('../../')
import evaluate
import config
dynamic_workload = {
'fname': 'atphttpd',
'pickle': config.workloadsdir + 'atphttpd.pickle',
'numeval': 1000,
}
static_workloads = []
evaluate.bigeval(
sig_names=['LCS', 'BayesAnd', 'LCSeq', 'Bayes2'],
training_streams=config.traces[80]['training'],
fpos_eval_streams=config.traces[80]['eval'],
fpos_eval_count='5000000',
dynamic_workload=dynamic_workload,
static_workloads=static_workloads,
dynamic_range=range(2, 10) + range(10, 50, 5) + range(50, 101, 10),
# dynamic_range=range(20)+range(20,101,10),
trials=5)
#
# This software is distributed under the terms of the Eclipse Public
# License, Version 1.0 which can be found in the file named LICENSE.
# ANY USE, REPRODUCTION OR DISTRIBUTION OF THIS SOFTWARE CONSTITUTES
# RECIPIENT'S ACCEPTANCE OF THIS AGREEMENT
import sys
sys.path.append('../../')
import evaluate
import config
dynamic_workload = {
'fname': 'apache',
'pickle': config.workloadsdir + 'apache.pickle',
'numeval': 1000,
}
static_workloads = []
evaluate.bigeval(
sig_names=['LCS', 'BayesAnd', 'LCSeq', 'Bayes2'],
training_streams=config.traces[80]['training'],
fpos_eval_streams=config.traces[80]['eval'],
fpos_eval_count='5000000',
dynamic_workload=dynamic_workload,
static_workloads=static_workloads,
dynamic_range=range(2,10)+range(10,50,5)+range(50,101,10),
# dynamic_range=range(20)+range(20,101,10),
trials=5
)
dynamic_workload = {
'fname': 'http_noise',
'pickle': config.workloadsdir + 'http_noise.pickle',
'numeval': 0,
}
static_workloads = [{
'fname': 'apache',
'pickle': config.workloadsdir + 'apache.pickle',
'numeval': 1000,
'numtrain': 5
}]
import sys
starttrial = 0
trials = 5
if len(sys.argv) > 1:
starttrial = int(sys.argv[1])
trials = starttrial + 1
evaluate.bigeval(sig_names=['BayesAndTree', 'LCSeqTree', 'Bayes2'],
training_streams=config.traces[80]['training'],
fpos_eval_streams=config.traces[80]['eval'],
fpos_eval_count='5000000',
dynamic_workload=dynamic_workload,
static_workloads=static_workloads,
dynamic_range=[0, 1, 3] + range(5, 21, 5) + [30, 50],
starttrial=starttrial,
trials=5)
'numeval': 0,
}
static_workloads = [
{
'fname': 'apache',
'pickle': config.workloadsdir + 'apache.pickle',
'numeval': 1000,
'numtrain': 5
}
]
import sys
starttrial=0
trials=5
if len(sys.argv) > 1:
starttrial=int(sys.argv[1])
trials = starttrial+1
evaluate.bigeval(
sig_names=['BayesAndTree', 'LCSeqTree', 'Bayes2'],
training_streams=config.traces[80]['training'],
fpos_eval_streams=config.traces[80]['eval'],
fpos_eval_count='5000000',
dynamic_workload=dynamic_workload,
static_workloads=static_workloads,
dynamic_range=[0,1,3] + range(5,21,5)+[30, 50],
starttrial=starttrial,
trials=5
)