Python sklearn_MultinomialNB示例

示例#1

def multinomial_nb(
    name,
    alpha=None,
    fit_prior=None,
):
    def _name(msg):
        return '%s.%s_%s' % (name, 'multinomial_nb', msg)

    rval = scope.sklearn_MultinomialNB(
        alpha=hp.quniform(_name('alpha'), 0, 1, 0.001)
        if alpha is None else alpha,
        fit_prior=hp.choice(_name('fit_prior'), [True, False])
        if fit_prior is None else fit_prior,
    )
    return rval

示例#2

文件： components.py 项目： MrFroll/hyperopt-sklearn

def multinomial_nb(name,
                   alpha=None,
                   fit_prior=None,
                   class_prior=None,
                   ):

    def _name(msg):
        return '%s.%s_%s' % (name, 'multinomial_nb', msg)

    rval = scope.sklearn_MultinomialNB(
        alpha=(hp.quniform(_name('alpha'), 0, 1, 0.001)
               if alpha is None else alpha),
        fit_prior=(hp_bool(_name('fit_prior'))
                   if fit_prior is None else fit_prior),
        class_prior=class_prior
    )
    return rval

示例#3

文件： components.py 项目： lishen/hyperopt-sklearn

def multinomial_nb(name,
                   alpha=None,
                   fit_prior=None,
                   class_prior=None,
                   ):

    def _name(msg):
        return '%s.%s_%s' % (name, 'multinomial_nb', msg)

    rval = scope.sklearn_MultinomialNB(
        alpha=(hp.quniform(_name('alpha'), 0, 1, 0.001)
               if alpha is None else alpha),
        fit_prior=(hp_bool(_name('fit_prior'))
                   if fit_prior is None else fit_prior),
        class_prior=class_prior
    )
    return rval

示例#4

文件： components.py 项目： mlmlm/hyperopt-sklearn

def multinomial_nb(name,
    alpha=None,
    fit_prior=None,
    ):

    def _name(msg):
      return '%s.%s_%s' % (name, 'multinomial_nb', msg)
    

    rval = scope.sklearn_MultinomialNB(
        alpha=hp.quniform(
            _name('alpha'),
            0, 1, 0.001 ) if alpha is None else alpha,
        fit_prior=hp.choice(
            _name('fit_prior'),
            [ True, False ] ) if fit_prior is None else fit_prior,
        )
    return rval