mixle.data.hashing module¶
Stable content hashing of training datasets, for reproducible model provenance.
dataset_hash(data) returns a hex SHA-256 over a canonical byte encoding of the records, so the exact
dataset that trained a model can be fingerprinted and recorded in its header (see
mixle.inference.production.provenance). The hash is order-sensitive (the same records in a different order hash
differently) – it identifies an exact training sequence; pass sort=True for an order-insensitive
fingerprint (records are hashed independently and combined commutatively).
- model_hash(model)[source]
Hex SHA-256 fingerprint of a fitted model’s parameters (its serialized state).
Stable across processes: hashes the canonical form of
to_serializable(model), so the same model always yields the same hash and two models hash equal iff their serialized parameters match. Used to fingerprint a checkpoint and chain EM iteration lineage (seemixle.inference.production.provenance).
- dataset_hash(data, *, sort=False, max_records=None)[source]
Hex SHA-256 fingerprint of
data(a sequence of records or aDataSource).sort=False(default) is order-sensitive (exact training sequence).sort=Truecombines per-record hashes commutatively for an order-insensitive fingerprint.max_recordstruncates (the count is mixed in, so a truncated hash never collides with a full one).