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Fix error to parse FLAGS #127 issue of eval.py #165

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Fix error to parse FLAGS #127 issue of eval.py #165

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30 changes: 16 additions & 14 deletions eval.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,29 +9,31 @@
from text_cnn import TextCNN
from tensorflow.contrib import learn
import csv
import argparse

# Parameters
# ==================================================

# Data Parameters
tf.flags.DEFINE_string("positive_data_file", "./data/rt-polaritydata/rt-polarity.pos", "Data source for the positive data.")
tf.flags.DEFINE_string("negative_data_file", "./data/rt-polaritydata/rt-polarity.neg", "Data source for the negative data.")
parser = argparse.ArgumentParser()

# Eval Parameters
tf.flags.DEFINE_integer("batch_size", 64, "Batch Size (default: 64)")
tf.flags.DEFINE_string("checkpoint_dir", "", "Checkpoint directory from training run")
tf.flags.DEFINE_boolean("eval_train", False, "Evaluate on all training data")
#Data Parameters
parser.add_argument('--positive_data_file', type=str, default='./data/rt-polaritydata/rt-polarity.pos', help='Data source for the positive data.')
parser.add_argument('--negative_data_file', type=str, default='./data/rt-polaritydata/rt-polarity.neg', help='Data source for the positive data.')

# Misc Parameters
tf.flags.DEFINE_boolean("allow_soft_placement", True, "Allow device soft device placement")
tf.flags.DEFINE_boolean("log_device_placement", False, "Log placement of ops on devices")
#Eval Parameters
parser.add_argument('--batch_size', type=int, default=64, help='Batch Size (default: 64).')
parser.add_argument('--checkpoint_dir', type=str, default=None, help='Checkpoint directory from training run.')
parser.add_argument('--eval_train', type=bool, default=False, help='Evaluate on all training data.')

#Misc Parameters
parser.add_argument('--allow_soft_placement', type=bool, default=True, help='Allow device soft device placement.')
parser.add_argument('--log_device_placement', type=bool, default=False, help='Log placement of ops on devices.')

FLAGS = parser.parse_args()

FLAGS = tf.flags.FLAGS
FLAGS._parse_flags()
print("\nParameters:")
for attr, value in sorted(FLAGS.__flags.items()):
print("{}={}".format(attr.upper(), value))
for attr in vars(FLAGS):
print("{}={}".format(attr.upper(), getattr(FLAGS, attr)))
print("")

# CHANGE THIS: Load data. Load your own data here
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