functionVerified releasev1

predict_topics

Apply a supplied fitted HN topic model without fitting vocabulary or components. Returns topic assignments, automatic keyword tags, unknown-topic diagnostics and unchanged observed popularity values.

Library
case4-hn
Updated
Runtime
current process; user-managed packages · Python 3.13

Interface

Verified contract

Callable Object

Inputs

NameType
snapshotdict
modeldict

Outputs

NameType
defaultdict

Exact release

Pinned local call

from spl import SPLClient

result = SPLClient.embedded().call(
    "splime://@splime.project/case4-hn/predict_topics@1",
    kwargs={'model': {}, 'snapshot': {}},
    trust=True,
)

Review before running. Public bundles contain executable code. Verify the publisher and exact content hash; a virtual environment isolates dependencies, not the operating system.

Evidence

Evidence-backed concepts

  • Predict topics
  • Automatic keyword tags
  • Unknown topic diagnostics
  • Fitting vocabulary
  • Topic assignments
  • Unchanged observed popularity values
  • Apply supplied fitted
  • Fitted hn topic

History

Public versions

  • v12 downloads

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