Hello, author.
I have a question regarding the parameter passing in generate_feature.py:
model = DeepWalk(80, 10, 128, window_size=10, negative=1, workers=16)
Compared to the init function in deepwalk.py:
def init(self, dimensions: int = 64,
walk_length: int = 80,
walk_number: int = 10,
workers: int = 3,
window_size: int = 5,
epochs: int = 1,
learning_rate: float = 0.025,
negative: int = 1,
name: str = None,
seed: int = None):
It seems that 128 should represent the feature dimensions, but it is actually being passed to walk_number. Could this be a mistake?
Looking forward to your response. Thank you!
Hello, author.
I have a question regarding the parameter passing in generate_feature.py:
model = DeepWalk(80, 10, 128, window_size=10, negative=1, workers=16)
Compared to the init function in deepwalk.py:
def init(self, dimensions: int = 64,
walk_length: int = 80,
walk_number: int = 10,
workers: int = 3,
window_size: int = 5,
epochs: int = 1,
learning_rate: float = 0.025,
negative: int = 1,
name: str = None,
seed: int = None):
It seems that 128 should represent the feature dimensions, but it is actually being passed to walk_number. Could this be a mistake?
Looking forward to your response. Thank you!