spaCy/website/docs/api/vocab.jade

//- 💫 DOCS > API > VOCAB

include ../../_includes/_mixins

p
    |  A look-up table that allows you to access #[code Lexeme] objects. The
    |  #[code Vocab] instance also provides access to the #[code StringStore],
    |  and owns underlying C-data that is shared between #[code Doc] objects.

+h(2, "attributes") Attributes

+table(["Name", "Type", "Description"])
    +row
        +cell #[code strings]
        +cell #[code StringStore]
        +cell A table managing the string-to-int mapping.

    +row
        +cell #[code vectors_length]
        +cell int
        +cell The dimensionality of the word vectors, if present.

+h(2, "load") Vocab.load
    +tag classmethod

p Load the vocabulary from a path.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code path]
        +cell #[code Path]
        +cell The path to load from.

    +row
        +cell #[code lex_attr_getters]
        +cell dict
        +cell
            |  A dictionary mapping attribute IDs to functions to compute them.
            |  Defaults to #[code None].

    +row
        +cell #[code lemmatizer]
        +cell -
        +cell A lemmatizer. Defaults to #[code None].

    +row
        +cell #[code tag_map]
        +cell dict
        +cell
            |  A dictionary mapping fine-grained tags to coarse-grained
            |  parts-of-speech, and optionally morphological attributes.

    +row
        +cell #[code oov_prob]
        +cell float
        +cell The default probability for out-of-vocabulary words.

    +footrow
        +cell returns
        +cell #[code Vocab]
        +cell The newly constructed object.

+h(2, "init") Vocab.__init__
    +tag method

p Create the vocabulary.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code lex_attr_getters]
        +cell dict
        +cell
            |  A dictionary mapping attribute IDs to functions to compute them.
            |  Defaults to #[code None].

    +row
        +cell #[code lemmatizer]
        +cell -
        +cell A lemmatizer. Defaults to #[code None].

    +row
        +cell #[code tag_map]
        +cell dict
        +cell
            |  A dictionary mapping fine-grained tags to coarse-grained
            |  parts-of-speech, and optionally morphological attributes.

    +row
        +cell #[code oov_prob]
        +cell float
        +cell The default probability for out-of-vocabulary words.

    +footrow
        +cell returns
        +cell #[code Vocab]
        +cell The newly constructed object.

+h(2, "len") Vocab.__len__
    +tag method

p Get the number of lexemes in the vocabulary.

+table(["Name", "Type", "Description"])
    +footrow
        +cell returns
        +cell int
        +cell The number of lexems in the vocabulary.

+h(2, "getitem") Vocab.__getitem__
    +tag method

p
    |  Retrieve a lexeme, given an int ID or a unicode string. If a previously
    |  unseen unicode string is given, a new lexeme is created and stored.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code id_or_string]
        +cell int / unicode
        +cell The integer ID of a word, or its unicode string.

    +footrow
        +cell returns
        +cell #[code Lexeme]
        +cell The lexeme indicated by the given ID.

+h(2, "iter") Span.__iter__
    +tag method

p Iterate over the lexemes in the vocabulary.

+table(["Name", "Type", "Description"])
    +footrow
        +cell yields
        +cell #[code Lexeme]
        +cell An entry in the vocabulary.

+h(2, "contains") Vocab.__contains__
    +tag method

p Check whether the string has an entry in the vocabulary.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code string]
        +cell unicode
        +cell The ID string.

    +footrow
        +cell returns
        +cell bool
        +cell Whether the string has an entry in the vocabulary.

+h(2, "resize_vectors") Vocab.resize_vectors
    +tag method

p
    |  Set #[code vectors_length] to a new size, and allocate more memory for
    |  the #[code Lexeme] vectors if necessary. The memory will be zeroed.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code new_size]
        +cell int
        +cell The new size of the vectors.

    +footrow
        +cell returns
        +cell #[code None]
        +cell -

+h(2, "add_flag") Vocab.add_flag
    +tag method

p Set a new boolean flag to words in the vocabulary.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code flag_getter]
        +cell dict
        +cell A function #[code f(unicode) -> bool], to get the flag value.

    +row
        +cell #[code flag_id]
        +cell int
        +cell
            |  An integer between 1 and 63 (inclusive), specifying the bit at
            |  which the flag will be stored. If #[code -1], the lowest
            |  available bit will be chosen.

    +footrow
        +cell returns
        +cell int
        +cell The integer ID by which the flag value can be checked.

+h(2, "dump") Vocab.dump
    +tag method

p Save the lexemes binary data to the given location.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code loc]
        +cell #[code Path]
        +cell The path to load from.

    +footrow
        +cell returns
        +cell #[code None]
        +cell -

+h(2, "load_lexemes") Vocab.load_lexemes
    +tag method

p

+table(["Name", "Type", "Description"])
    +row
        +cell #[code loc]
        +cell unicode
        +cell Path to load the lexemes.bin file from.

    +footrow
        +cell returns
        +cell #[code None]
        +cell -

+h(2, "dump_vectors") Vocab.dump_vectors
    +tag method

p Save the word vectors to a binary file.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code loc]
        +cell #[code Path]
        +cell The path to save to.

    +footrow
        +cell returns
        +cell #[code None]
        +cell -

+h(2, "load_vectors") Vocab.load_vectors
    +tag method

p Load vectors from a text-based file.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code file_]
        +cell buffer
        +cell
            |  The file to read from. Entries should be separated by newlines,
            |  and each entry should be whitespace delimited. The first value
            |  of the entry should be the word string, and subsequent entries
            |  should be the values of the vector.

    +footrow
        +cell returns
        +cell int
        +cell The length of the vectors loaded.

+h(2, "load_vectors_from_bin_loc") Vocab.load_vectors_from_bin_loc
    +tag method

p Load vectors from the location of a binary file.

+table(["Name", "Type", "Description"])
    +row
        +cell #[code loc]
        +cell unicode
        +cell The path of the binary file to load from.

    +footrow
        +cell returns
        +cell int
        +cell The length of the vectors loaded.