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1 change: 0 additions & 1 deletion tzrec/main.py
Original file line number Diff line number Diff line change
Expand Up @@ -809,7 +809,6 @@ def train_and_evaluate(
train_config.delta_embedding_dump_config,
pipeline_config.model_dir,
device,
pipeline_config.feature_configs,
)

dense_optim_cls, dense_optim_kwargs = optimizer_builder.create_dense_optimizer(
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5 changes: 4 additions & 1 deletion tzrec/protos/train.proto
Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,10 @@ message FeatureStoreConfig {
}

message DeltaEmbeddingDumpConfig {
// MC/ZCH features are not supported; use dynamicemb for delta dump.
// ZCH features publish raw feature ids: touched and newly admitted ids
// with their trained rows, and evicted ids with the fallback row the
// model now serves for them (FeatureStore has no delete, so the old
// vector must be overwritten explicitly).
// Dump touched ids and their latest embedding every N training steps. Do not
// set this together with dump_interval_minutes.
// Larger intervals retain a longer id window in memory; auto compaction reduces
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