v0.7.0

What’s Changed

🐜 Bug Fixes

• Fix ecommerce session based test @edknv (#690)
• Add dtype conversion for continuous columns in synthetic data generation @oliverholworthy (#662)
• Breaks ties of top-k metrics @gabrielspmoreira (#653)
• Enable saving of TwoTowerModel @oliverholworthy (#615)
• Update stacking in DLRMBlock to use correct axis for the dot product. @oliverholworthy (#637)
• Fix lightfm evaluate code @benfred (#616)
• Enable predict in XGBoost without targets in provided dataset @oliverholworthy (#612)
• Use labels instead of predictions in XGBoost eval data @karlhigley (#610)
• Stop reordering columns in merlin.models.xgb.dataset_to_xy @radekosmulski (#603)

🚀 Features

• Extend EmbeddingTable and Embeddings with support for shared embeddings @oliverholworthy (#700)
• Filter features in ParallelBlock @edknv (#686)
• Improvements in Wide and Deep architecture @Timmy00 (#638)
• Add CategoryEncoding transformation block @Timmy00 (#614)
• Add Layer freezing @Timmy00 (#635)
• Add save and load methods to XGBoost class @oliverholworthy (#656)
• Restructuring Embeddings @marcromeyn (#649)
• enhance pretrained-embeddings example to set trainable=False for the pre-trained embeddings @rnyak (#654)
• Tf/categorical prediction v2 @sararb (#633)
• Enable customization of embeddings in DLRM Model @oliverholworthy (#619)
• Add trainable and embeddings_initializers args to Embeddings function @rnyak (#634)
• Add Wide Deep model @Timmy00 (#623)
• Enable static weights to be used with EmbeddingTable.from_pretrained @oliverholworthy (#632)
• Enable TabularData to be used with EmbeddingTable @oliverholworthy (#631)
• Add LazyAdam optimizer @Timmy00 (#602)
• Tf/contrastive prediction @marcromeyn (#594)
• Hashed Crosses for all levels @Timmy00 (#590)
• Supports task-specific sample weights, weighed_metrics and fixes InputBlockV2 @gabrielspmoreira (#600)
• Introducing new base-implementations to replace prediction-tasks @marcromeyn (#589)
• Add multi optimizer @Timmy00 (#581)
• Introducing MapValues @marcromeyn (#591)
• Fix CategoricalOneHot with compute_output_shape and check inputs. @Timmy00 (#597)
• Add EmbeddingOptions arg in the DLRM block @rnyak (#592)
• Decoupling of InputBlock(v2) and Embedding Tables, support to Ragged Embeddings Lookup and AverageEmbeddingsByWeightFeature @gabrielspmoreira (#593)

📄 Documentation

• update logo usecase @bschifferer (#693)
• [WIP] Add Dressipi RecSys Util Function to Merlin Models @bschifferer (#664)
• update 01-Getting-started @radekosmulski (#671)
• update logos for example notebooks 02 - 06 @radekosmulski (#672)
• add tracking logo to examples/07 @radekosmulski (#661)
• Add lightfm and implicit training examples @radekosmulski (#629)

🔧 Maintenance

• Separate the dev and docs requirements @karlhigley (#708)
• Fix ecommerce session based test @edknv (#690)
• Add dtype conversion for continuous columns in synthetic data generation @oliverholworthy (#662)
• Add unit test for the trainable embeddings func @rnyak (#648)
• Update versioneer from 0.20 to 0.23 @oliverholworthy (#646)
• Remove -e from pip install commands in github workflows @oliverholworthy (#645)
• Trying to make model unit-tests faster @marcromeyn (#595)