安装gensim时警告

Question

我已经在Python中安装了gensim (通过pip)。安装结束后，我收到以下警告：

C:\Python27\lib\site-packages\gensim\utils.py:855: UserWarning: UserWarning；将分块混叠为chunkize_serial warnings.warn(“检测到窗口；将分块转换为chunkize_serial")

我该怎么纠正呢？

由于此警告，我无法从word2vec导入gensim.models。

我有以下配置:Python2.7，gensim-0.13.4.1，numpy-1.11.3，ciply-0.18.1，模式-2.6。

Answer 1

在导入gensim之前，可以先用此代码抑制消息：

import warnings
warnings.filterwarnings(action='ignore', category=UserWarning, module='gensim')

import gensim

Answer 2

我觉得不是什么大问题。Gensim只是让您知道，它将别名为不同的函数，因为您使用的是特定的os。

从gensim.utils查看这段代码

if os.name == 'nt':
    logger.info("detected Windows; aliasing chunkize to chunkize_serial")

    def chunkize(corpus, chunksize, maxsize=0, as_numpy=False):
        for chunk in chunkize_serial(corpus, chunksize, as_numpy=as_numpy):
            yield chunk
else:
    def chunkize(corpus, chunksize, maxsize=0, as_numpy=False):
    """
    Split a stream of values into smaller chunks.
    Each chunk is of length `chunksize`, except the last one which may be smaller.
    A once-only input stream (`corpus` from a generator) is ok, chunking is done
    efficiently via itertools.

    If `maxsize > 1`, don't wait idly in between successive chunk `yields`, but
    rather keep filling a short queue (of size at most `maxsize`) with forthcoming
    chunks in advance. This is realized by starting a separate process, and is
    meant to reduce I/O delays, which can be significant when `corpus` comes
    from a slow medium (like harddisk).

    If `maxsize==0`, don't fool around with parallelism and simply yield the chunksize
    via `chunkize_serial()` (no I/O optimizations).

    >>> for chunk in chunkize(range(10), 4): print(chunk)
    [0, 1, 2, 3]
    [4, 5, 6, 7]
    [8, 9]

    """
    assert chunksize > 0

    if maxsize > 0:
        q = multiprocessing.Queue(maxsize=maxsize)
        worker = InputQueue(q, corpus, chunksize, maxsize=maxsize, as_numpy=as_numpy)
        worker.daemon = True
        worker.start()
        while True:
            chunk = [q.get(block=True)]
            if chunk[0] is None:
                break
            yield chunk.pop()
    else:
        for chunk in chunkize_serial(corpus, chunksize, as_numpy=as_numpy):
            yield chunk