dce3b66b54fac2040e826a5a465ff58cf1295e7f,hypertools/tools/reduce.py,,reduce,#Any#Any#Any#Any#Any#Any#,13

Before Change

    // run the reduction
    if method=="PCA":
        x_reduced = reducePCA(x,ndims)

    // pad cols with zeros if ndims returned is less than ndims
    if x_reduced[0].shape[1] < ndims:
        for idx, x_r in enumerate(x_reduced):
            x_reduced[idx] = np.hstack([x_r, np.zeros((x_r.shape[0], ndims-x_reduced[0].shape[1]))])

    if align == True:
        // Import is here to avoid circular imports with reduce.py
        from .align import align as aligner
        x_reduced = aligner(x_reduced)

After Change

        "FastICA" : FastICA,
        "TSNE" : TSNE,
        "Isomap" : Isomap,
        "SpectralEmbedding" : SpectralEmbedding,
        "LocallyLinearEmbedding" : LocallyLinearEmbedding
    }

Instances