move utils functions to new file

This commit is contained in:
René Knaebel 2017-07-29 19:47:02 +02:00
parent 820a5d1a4d
commit b0da2de0ea
3 changed files with 14 additions and 13 deletions

View File

@ -29,7 +29,7 @@ def encode_char(c):
encode_char = np.vectorize(encode_char)
# TODO: refactor
# TODO: ask for correct refactoring
def get_user_chunks(user_flow, window=10):
# TODO: what is maxLengthInSeconds for?!?
# maxMilliSeconds = maxLengthInSeconds * 1000
@ -149,7 +149,6 @@ def create_dataset_from_lists(chunks, vocab, max_len):
:param max_len:
:return:
"""
def get_domain_features_reduced(d):
return get_domain_features(d[0], vocab, max_len)

18
main.py
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@ -17,6 +17,7 @@ import models
# create logger
import visualize
from dataset import load_or_generate_h5data
from utils import exists_or_make_path
logger = logging.getLogger('logger')
logger.setLevel(logging.DEBUG)
@ -55,11 +56,6 @@ if args.gpu:
session = tf.Session(config=config)
def exists_or_make_path(p):
if not os.path.exists(p):
os.makedirs(p)
def main_paul_best():
char_dict = dataset.get_character_dict()
pauls_best_params = models.pauls_networks.best_config
@ -80,15 +76,15 @@ def main_hyperband():
"flow_features": [3],
"input_length": [40],
# model params
"embedding_size": [16, 32, 64, 128, 256, 512],
"filter_embedding": [16, 32, 64, 128, 256, 512],
"embedding_size": [8, 16, 32, 64, 128, 256],
"filter_embedding": [8, 16, 32, 64, 128, 256],
"kernel_embedding": [1, 3, 5, 7, 9],
"hidden_embedding": [16, 32, 64, 128, 256, 512],
"hidden_embedding": [8, 16, 32, 64, 128, 256],
"dropout": [0.5],
"domain_features": [16, 32, 64, 128, 256, 512],
"filter_main": [16, 32, 64, 128, 256, 512],
"domain_features": [8, 16, 32, 64, 128, 256],
"filter_main": [8, 16, 32, 64, 128, 256],
"kernels_main": [1, 3, 5, 7, 9],
"dense_main": [16, 32, 64, 128, 256, 512],
"dense_main": [8, 16, 32, 64, 128, 256],
}
logger.info("create training dataset")

6
utils.py Normal file
View File

@ -0,0 +1,6 @@
import os
def exists_or_make_path(p):
if not os.path.exists(p):
os.makedirs(p)