scikit-kge
scikit-kge copied to clipboard
mnick
Python library to compute knowledge graph embeddings
Dear @mnick , i really appriciate this package. However, it is somewhat difficult to fully wrap my head arround it. It would help if you could: - Create an example...
When I run setup.py, it says "setuptools module not found."
How do you access the embedding vectors after the training of the model? The documentation is unclear on this matter.
Here: https://github.com/mnick/scikit-kge/blob/master/skge/base.py#L130 `self.batch_size = np.ceil(len(xys) / self.nbatches)` `self.batch_size = int(np.ceil(len(xys) / self.nbatches))` In the latest stable version of numpy (1.13.0) `np.ceil()` returns a float value not int. Because of this...
It would be nice to see a more detailed example. The README says: N, M, xs, ys = load_data('path to data') But how exactly do these parameters look like? Something...
The sample code in README.md has typo. I figured it out after seeing IndexError. ``` from skge import HolE, StochasticTrainer # Load knowledge graph # N = number of entities...
i can not find this package in the anaconda?if you have free time,please help me solve the issue！
