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Merge pull request #1789 from sorenlind/init_model_args
Fix CLI arguments for init-model
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commit
03a2f540ca
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@ -25,7 +25,7 @@ from ..util import prints, ensure_path, get_lang_class
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prune_vectors=("optional: number of vectors to prune to",
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"option", "V", int)
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)
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def init_model(lang, output_dir, freqs_loc, clusters_loc=None, vectors_loc=None, prune_vectors=-1):
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def init_model(_cmd, lang, output_dir, freqs_loc, clusters_loc=None, vectors_loc=None, prune_vectors=-1):
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"""
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Create a new model from raw data, like word frequencies, Brown clusters
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and word vectors.
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@ -36,7 +36,7 @@ def init_model(lang, output_dir, freqs_loc, clusters_loc=None, vectors_loc=None,
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vectors_loc = ensure_path(vectors_loc)
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probs, oov_prob = read_freqs(freqs_loc)
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vectors_data, vector_keys = read_vectors(vectors_loc) if vectors_loc else None
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vectors_data, vector_keys = read_vectors(vectors_loc) if vectors_loc else None, None
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clusters = read_clusters(clusters_loc) if clusters_loc else {}
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nlp = create_model(lang, probs, oov_prob, clusters, vectors_data, vector_keys, prune_vectors)
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@ -69,7 +69,7 @@ def create_model(lang, probs, oov_prob, clusters, vectors_data, vector_keys, pru
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lex_added += 1
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nlp.vocab.cfg.update({'oov_prob': oov_prob})
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if len(vectors_data):
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if vectors_data:
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nlp.vocab.vectors = Vectors(data=vectors_data, keys=vector_keys)
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if prune_vectors >= 1:
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nlp.vocab.prune_vectors(prune_vectors)
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