TypeError: __init__() got an unexpected keyword argument ‘iter‘

TypeError: init() got an unexpected keyword argument ‘iter’
问题在调用下面代码报错

model = Word2Vec(**kwargs)

在查阅资料时候
https://blog.csdn.net/longshaonihaoa/article/details/115771412
word2vec源码里面

    def __init__(
            self, sentences=None, corpus_file=None, vector_size=100, alpha=0.025, window=5, min_count=5,
            max_vocab_size=None, sample=1e-3, seed=1, workers=3, min_alpha=0.0001,
            sg=0, hs=0, negative=5, ns_exponent=0.75, cbow_mean=1, hashfxn=hash, epochs=5, null_word=0,
            trim_rule=None, sorted_vocab=1, batch_words=MAX_WORDS_IN_BATCH, compute_loss=False, callbacks=(),
            comment=None, max_final_vocab=None,
        ):

因此我把key为iter改为epochs以后报错解除

    def train(self, embed_size=128, window_size=5, workers=3, iter=5, **kwargs):

        kwargs["sentences"] = self.sentences
        kwargs["min_count"] = kwargs.get("min_count", 0)
        kwargs["vector_size"] = embed_size # 注意在新的版本已经修改了 size改为vector_size
        kwargs["sg"] = 1  # skip gram
        kwargs["hs"] = 1  # deepwalk use Hierarchical Softmax
        kwargs["workers"] = workers
        kwargs["window"] = window_size
        kwargs["epochs"] = iter # iter 改为了 epochs

        print("Learning embedding vectors...")
        model = Word2Vec(**kwargs)
        print("Learning embedding vectors done!")

        self.w2v_model = model
        return model