def evaluate_on_all(filename):
    model = Word2Vec.load_word2vec_format(filename, binary=True)
    vocab = set(model.vocab.keys())
    results = { 'relatedness1': test_suite.test_relatedness_1(model, vocab),
                'relatedness2-cc': test_suite.test_relatedness_2(model, vocab, variant = 'cross-cat'),
                'relatedness2-ccw': test_suite.test_relatedness_2(model, vocab, variant = 'cross-cat-weighted'),
                'relatedness2-wc': test_suite.test_relatedness_2(model, vocab, variant = 'within-cat'),
                'relatedness2-wcw': test_suite.test_relatedness_2(model, vocab, variant = 'within-cat-weighted'),
                'similarity1': test_suite.test_similarity_1(model, vocab),
                'similarity2': test_suite.test_similarity_2(model, vocab),
                'typicality': test_suite.test_typicality(model, vocab),
                'goodness': test_suite.test_goodness(model, vocab),
                }
    return results
def evaluate_on_all(model):
    model
    vocab = model.vocab
    results = { 'relatedness1': test_suite.test_relatedness_1(model, vocab),
                'relatedness2': test_suite.test_relatedness_2(model, vocab, variant = 'cross-cat'),
                'relatedness2': test_suite.test_relatedness_2(model, vocab, variant = 'cross-cat-weighted'),
                'relatedness2': test_suite.test_relatedness_2(model, vocab, variant = 'within-cat'),
                'relatedness2': test_suite.test_relatedness_2(model, vocab, variant = 'within-cat-weighted'),
                'similarity1': test_suite.test_similarity_1(model, vocab),
                'similarity2': test_suite.test_similarity_2(model, vocab),
                'typicality': test_suite.test_typicality(model, vocab),
                'goodness': test_suite.test_goodness(model, vocab),
                }
    return results