def test_preproc_space():
rectangles_eval_fn = partial(eval_fn, protocol_cls=RectanglesVectorXV)
fmin_pass_expr_memo_ctrl(rectangles_eval_fn)
trials = hyperopt.Trials()
space = nips2011_dbn.preproc_space()
hyperopt.fmin(
rectangles_eval_fn,
space=space,
max_evals=10,
algo=hyperopt.rand.suggest,
trials=trials,
)
def test_preproc_space():
rectangles_eval_fn = partial(eval_fn,
protocol_cls=RectanglesVectorXV)
fmin_pass_expr_memo_ctrl(rectangles_eval_fn)
trials = hyperopt.Trials()
space = nips2011_dbn.preproc_space()
hyperopt.fmin(
rectangles_eval_fn,
space=space,
max_evals=10,
algo=hyperopt.rand.suggest,
trials=trials,
)
def main_convex(filename='iptrials_convex_dbn.pkl'):
from skdata.larochelle_etal_2007.view import ConvexVectorXV as Protocol
iptrials = get_iptrials(filename)
dataset_eval_fn = partial(eval_fn,
protocol_cls=Protocol)
for max_evals in range(10, 50, 10):
iptrials.fmin(
fn=dataset_eval_fn,
space=preproc_space(),
algo=tpe.suggest,
max_evals=max_evals,
verbose=1,
pass_expr_memo_ctrl=True,
)
iptrials.wait()
iptrials.refresh()
ofile = open(filename, 'w')
cPickle.dump(iptrials, ofile)
ofile.close()
def main_MRBI(filename='iptrials_MRBI_dbn.pkl'):
from skdata.larochelle_etal_2007.view \
import MNIST_RotatedBackgroundImages_VectorXV as Protocol
iptrials = get_iptrials(filename)
dataset_eval_fn = partial(eval_fn, protocol_cls=Protocol)
for max_evals in range(20, 100, 200):
iptrials.fmin(
fn=dataset_eval_fn,
space=preproc_space(),
algo=tpe.suggest,
max_evals=max_evals,
verbose=1,
pass_expr_memo_ctrl=True,
)
iptrials.wait()
iptrials.refresh()
ofile = open(filename, 'w')
cPickle.dump(iptrials, ofile)
ofile.close()
def main_rectangles(filename='iptrials_rectangles_dbn.pkl'):
from skdata.larochelle_etal_2007.view import RectanglesVectorXV
iptrials = get_iptrials(filename)
rectangles_eval_fn = partial(eval_fn,
protocol_cls=RectanglesVectorXV)
for max_evals in [10, 25, 50]:
iptrials.fmin(
fn=rectangles_eval_fn,
space=preproc_space(),
algo=tpe.suggest,
max_evals=max_evals,
verbose=1,
pass_expr_memo_ctrl=True,
)
iptrials.wait()
iptrials.refresh()
ofile = open(filename, 'w')
cPickle.dump(iptrials, ofile)
ofile.close()
def main_convex(filename="iptrials_convex_dbn.pkl"):
from skdata.larochelle_etal_2007.view import ConvexVectorXV as Protocol
iptrials = get_iptrials(filename)
dataset_eval_fn = partial(eval_fn, protocol_cls=Protocol)
for max_evals in range(10, 50, 10):
iptrials.fmin(
fn=dataset_eval_fn,
space=preproc_space(),
algo=tpe.suggest,
max_evals=max_evals,
verbose=1,
pass_expr_memo_ctrl=True,
)
iptrials.wait()
iptrials.refresh()
ofile = open(filename, "w")
cPickle.dump(iptrials, ofile)
ofile.close()
def main_rectangles(filename="iptrials_rectangles_dbn.pkl"):
from skdata.larochelle_etal_2007.view import RectanglesVectorXV
iptrials = get_iptrials(filename)
rectangles_eval_fn = partial(eval_fn, protocol_cls=RectanglesVectorXV)
for max_evals in [10, 25, 50]:
iptrials.fmin(
fn=rectangles_eval_fn,
space=preproc_space(),
algo=tpe.suggest,
max_evals=max_evals,
verbose=1,
pass_expr_memo_ctrl=True,
)
iptrials.wait()
iptrials.refresh()
ofile = open(filename, "w")
cPickle.dump(iptrials, ofile)
ofile.close()
"""
To see the relationship between hyperparameters in the nips2011_dbn space:
python nips2011_dbn_show_svg.py && dot -Tpng dbn.dot > dbn.png && eog dbn.png
"""
from hpnnet.nips2011_dbn import preproc_space
from hyperopt.graphviz import dot_hyperparameters
open("dbn.dot", "wb").write(dot_hyperparameters(preproc_space()))
"""
To see the relationship between hyperparameters in the nips2011_dbn space:
python nips2011_dbn_show_svg.py && dot -Tpng dbn.dot > dbn.png && eog dbn.png
"""
from hpnnet.nips2011_dbn import preproc_space
from hyperopt.graphviz import dot_hyperparameters
open('dbn.dot', 'wb').write(dot_hyperparameters(preproc_space()))
