# For actual_chat_bot
INTERRUPT_AFTER_LEN = 2
INTERRUPT_PROB = .25
INTERRUPT_THRESHOLD = 5
BAD_TURN_MAX = 1
NUM_CANDIDATES = 100
NUM_START = 6

#For bot_utils
pre_process_restrict_bad = False
neg_restrict_bad = True
PRE_PROCESS_NOISE = ['b', '%', 'x']
BAD_TURN_NOISE = ['b', '%', 'x']

# For bot
WEIGHTS_FILENAME = "weights.json"
TRAIN_SET_SIZE = 750
TEST_SET_SIZE = 180
FINAL_TEST_SET_SIZE = 180

RANDOM_SEED = 5

# For SGD
numIters = 40
stepSize = .05
dampeningFactor = 1

8822dcd361714256b4332b3e4bf560c2be0a3cea
<mask token>

INTERRUPT_AFTER_LEN = 2
INTERRUPT_PROB = 0.25
INTERRUPT_THRESHOLD = 5
BAD_TURN_MAX = 1
NUM_CANDIDATES = 100
NUM_START = 6
pre_process_restrict_bad = False
neg_restrict_bad = True
PRE_PROCESS_NOISE = ['b', '%', 'x']
BAD_TURN_NOISE = ['b', '%', 'x']
WEIGHTS_FILENAME = 'weights.json'
TRAIN_SET_SIZE = 750
TEST_SET_SIZE = 180
FINAL_TEST_SET_SIZE = 180
RANDOM_SEED = 5
numIters = 40
stepSize = 0.05
dampeningFactor = 1

# For actual_chat_bot
INTERRUPT_AFTER_LEN = 2
INTERRUPT_PROB = .25
INTERRUPT_THRESHOLD = 5
BAD_TURN_MAX = 1
NUM_CANDIDATES = 100
NUM_START = 6

#For bot_utils
pre_process_restrict_bad = False
neg_restrict_bad = True
PRE_PROCESS_NOISE = ['b', '%', 'x']
BAD_TURN_NOISE = ['b', '%', 'x']

# For bot
WEIGHTS_FILENAME = "weights.json"
TRAIN_SET_SIZE = 750
TEST_SET_SIZE = 180
FINAL_TEST_SET_SIZE = 180

RANDOM_SEED = 5

# For SGD
numIters = 40
stepSize = .05
dampeningFactor = 1
