glmnetSet.py 文件源码

def glmnetSet(opts = None):
    import scipy

    # default options
    options = {
        "weights"             : scipy.empty([0]),
        "offset"              : scipy.empty([0]),
        "alpha"               : scipy.float64(1.0),
        "nlambda"             : scipy.int32(100),
        "lambda_min"          : scipy.empty([0]),
        "lambdau"             : scipy.empty([0]),
        "standardize"         : True,
        "intr"                : True,
        "thresh"              : scipy.float64(1e-7),
        "dfmax"               : scipy.empty([0]),
        "pmax"                : scipy.empty([0]),
        "exclude"             : scipy.empty([0], dtype = scipy.integer),
        "penalty_factor"      : scipy.empty([0]),
        "cl"                  : scipy.array([[scipy.float64(-scipy.inf)], [scipy.float64(scipy.inf)]]), 
        "maxit"               : scipy.int32(1e5),
        "gtype"               : [],
        "ltype"               : 'Newton',
        "standardize_resp"    : False,
        "mtype"               : 'ungrouped'
   }

    # quick return if no user opts
    if opts == None:
        print('pdco default options:')
        print(options)
        return options

    # if options are passed in by user, update options with values from opts
    optsInOptions = set(opts.keys()) - set(options.keys());
    if len(optsInOptions) > 0:          # assert 'opts' keys are subsets of 'options' keys
        print(optsInOptions, ' : unknown option for glmnetSet')
        raise ValueError('attempting to set glmnet options that are not known to glmnetSet')
    else:        
        options = merge_dicts(options, opts)

    return options