Avg Release Cycle
778 days ago
⚡️ Update to PyTorch v1.1.0.
v0.1.5May 20, 2018
v0.1.4February 18, 2018
- Goodbooks dataset.
- Raise ValueError if loss becomes NaN or 0.
- ⚡️ Updated to work with PyTorch 0.3.0.
spotlight.layers.BloomEmbedding: bloom embedding layers that reduce the number of
🛠 parameters required by hashing embedding indices into some fixed smaller dimensionality,
following Serrà, Joan, and Alexandros Karatzoglou. "Getting deep recommenders fit: Bloom
📜 embeddings for sparse binary input/output networks."
sequence_mrr_scorenow accepts an option that excludes previously seen items from scoring.
optimizerarguments is now
optimizer_func. It accepts a function that takes a single argument (list of model parameters) and return a PyTorch optimizer (thanks to Ethan Rosenthal).
fitcalls will resume from previous model state when called repeatedly (Ethan Rosenthal).
- ⚡️ Updated to work with PyTorch v0.2.0.
- 📚 Factorization predict APIs now work as advertised in the documentation.
v0.1.1July 19, 2017
v0.1.0June 28, 2017