def ensemble_agum(in_path, out_path, n_epochs=1000, size=128):
model = ts_cnn.TS_CNN(dropout=0.5, optim_alg=deep.Nestrov())
train, extract = ts_cnn.get_train(model)
ensemble = ens.ts_ensemble(train, extract, preproc=norm_partial)
input_paths = files.top_files(in_path)
arg_dict = {"n_epochs": n_epochs, "size": size}
files.make_dir(out_path)
ensemble(input_paths, out_path, arg_dict)
def ensemble_exp(in_path, out_name, n_epochs=1000, size=64):
input_paths = files.top_files("%s/seqs" % in_path)
out_path = "%s/%s" % (in_path, out_name)
ts_cnn = TS_CNN(dropout=0.5, activ='elu', optim_alg=deep.Nestrov())
train, extract = get_train(ts_cnn)
ensemble = ens.ts_ensemble(train, extract)
arg_dict = {'size': size, 'n_epochs': n_epochs}
ensemble(input_paths, out_path, arg_dict)
def ensemble_agum(in_path, out_path, n_epochs=1000, size=128):
model = ts_cnn.TS_CNN(dropout=0.5, l1=None, optim_alg=deep.Nestrov())
train, extract = ts_cnn.get_train(model)
agum = Agum([ts_binary])
funcs = [[spline.upsample, ["seqs", "spline", "size"]],
[agum, ["spline", "agum"]], [train, ["agum", "nn", "n_epochs"]],
[extract, ["agum", "nn", "feats"]]]
dir_names = ["spline", "agum", "nn", "feats"]
ensemble = ens.EnsTransform(funcs, dir_names)
arg_dict = {"n_epochs": n_epochs, "size": size}
input_paths = files.top_files(in_path)
files.make_dir(out_path)
ensemble(input_paths, out_path, arg_dict)
def multi_exp(in_path, out_name, n_epochs=1000, size=64):
out_path = "%s/%s" % (in_path, out_name)
train_dict = {
"no_l1": TS_CNN(l1=None),
"dropout_0.5": TS_CNN(dropout=0.5),
"adam": TS_CNN(optim_alg=deep.Adam()),
"nestrov": TS_CNN(optim_alg=deep.Nestrov()),
"tanh": TS_CNN(activ='tanh'),
"base": TS_CNN()
}
train_dict = {
name_i: get_train(train_i)
for name_i, train_i in train_dict.items()
}
arg_dict = {'size': size, 'n_epochs': n_epochs}
ens.multimodel_ensemble(in_path, out_path, train_dict, arg_dict)
def simple_exp(in_path, out_path, n_epochs=1000):
ts_cnn = TS_CNN(dropout=0.5, activ='elu', optim_alg=deep.Nestrov())
train, extract = get_train(ts_cnn)
utils.single_exp_template(in_path, out_path, train, extract)