Comments (3)
Hi,
Still looking for an answer to my query. Please help anybody.
from dedupe.
Hi @Abhishek-thetechie,
from my experience you can train with Active Learning only once, save settings_file and training.json and re-use them for every subsequent run.
You can reuse only the data model by employing a StaticDedupe:
with open(sc_settings_file, 'rb') as f: deduper = dedupe.StaticDedupe(f)
Or re-train at every execution using labelled examples:
fields = [{'field': 'name', 'type': 'String'},
{'field': 'name', 'type': 'Exact'},
{'field': 'address', 'type': 'String'}
]
with open(settings_file) as sf:
deduper = dedupe.Dedupe(fields, num_cores=5)
with open(training_file) as tf:
deduper.prepare_training(data_d, sample_size=10000)
deduper.markPairs(training_pairs)
deduper.train(index_predicates=False)
from dedupe.
you got it.
from dedupe.
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