Correction in base.py file

[svjan5]

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 error, my code was crashing with:

TypeError: slice indices must be integers or None or have an index method

Please make the change.

[grv1207]

I still see same self.batch_size = np.ceil(len(xys) / self.nbatches)

[wanghaoyu0408]

I still found this mistake:
"sub_arys.append(_nx.swapaxes(sary[st:end], axis, 0))"
"slice indices must be integers or None or have an index method"

[tridivb]

This also happened with me for the following snippet in base.py.

def _optim(self, xys):
        idx = np.arange(len(xys), dtype=int)
        self.batch_size = np.ceil(len(xys) / self.nbatches)
        batch_idx = np.arange(self.batch_size, len(xys), self.batch_size, dtype=int)

I just introduced the dtype=int parameter to fix it.