449ccc820a0558d742bc7055bc37c1690dff4496,hypertools/tools/reduce.py,,reduce,#Any#Any#Any#Any#Any#Any#,13

Before Change

        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

        model_params = {
            "n_components" : ndims
        }
    elif "n_components" in model_params:
        pass
    else:
        model_params["n_components"]=ndims

    // reduce data
    x_reduced = reduce_list(x, models[model], model_params)

Instances