Use of `os.fork` breaks Windows support

[lvdmaaten]

Use of `os.fork` breaks Windows support

[lvdmaaten]

Yeah that doesn't sound like a bad solution for now. I don't have access to a Windows-machine, so would you mind taking a crack at it @jlorince?

[nitheshj]

@jlorince It would be helpful if you can elaborate on the stopgap solution. I'm trying to run this in windows and os.fork is causing the issues. Thanks in advance.

[AliFlux]

I ended up modifying the code to remove the fork. Turns out, fork is just used to make the command prompt responsive to keyboard interrupts. Removing that also makes this compatible with jupyter and spyder.

Just replace the function with this one:

def run_bh_tsne(data, no_dims=2, perplexity=50, theta=0.5, randseed=-1, verbose=False, initial_dims=50, use_pca=True, max_iter=1000):
    '''
    Run TSNE based on the Barnes-HT algorithm

    Parameters:
    ----------
    data: file or numpy.array
        The data used to run TSNE, one sample per row
    no_dims: int
    perplexity: int
    randseed: int
    theta: float
    initial_dims: int
    verbose: boolean
    use_pca: boolean
    max_iter: int
    '''

    tmp_dir_path = mkdtemp()

    if _is_filelike_object(data):
        data = load_data(data)

    init_bh_tsne(data, tmp_dir_path, no_dims=no_dims, perplexity=perplexity, theta=theta, randseed=randseed,verbose=verbose, initial_dims=initial_dims, use_pca=use_pca, max_iter=max_iter)

    res = []
    for result in bh_tsne(tmp_dir_path, verbose):
        sample_res = []
        for r in result:
            sample_res.append(r)
        res.append(sample_res)
    rmtree(tmp_dir_path)
    return np.asarray(res, dtype='float64')