features.py 文件源码

def create_isomap_features(features, model):
    r"""Create Isomap features.

    Parameters
    ----------
    features : numpy array
        The input features.
    model : alphapy.Model
        The model object with the Isomap parameters.

    Returns
    -------
    ifeatures : numpy array
        The Isomap features.

    Notes
    -----

    Isomaps are very memory-intensive. Your process will be killed
    if you run out of memory.

    References
    ----------
    You can find more information on Principal Component Analysis here [ISO]_.

    .. [ISO] http://scikit-learn.org/stable/modules/manifold.html#isomap

    """

    logger.info("Creating Isomap Features")

    # Extract model parameters

    iso_components = model.specs['iso_components']
    iso_neighbors = model.specs['iso_neighbors']
    n_jobs = model.specs['n_jobs']

    # Log model parameters

    logger.info("Isomap Components : %d", iso_components)
    logger.info("Isomap Neighbors  : %d", iso_neighbors)

    # Generate Isomap features

    model = Isomap(n_neighbors=iso_neighbors, n_components=iso_components,
                   n_jobs=n_jobs)
    ifeatures = model.fit_transform(features)

    # Return new Isomap features

    logger.info("Isomap Feature Count : %d", ifeatures.shape[1])
    return ifeatures


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# Function create_tsne_features
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