# -*- coding: utf-8 -*-

#

# Copyright 2015-2025 BigML

#

# Licensed under the Apache License, Version 2.0 (the "License"); you may

# not use this file except in compliance with the License. You may obtain

# a copy of the License at

#

# http://www.apache.org/licenses/LICENSE-2.0

#

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT

# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the

# License for the specific language governing permissions and limitations

# under the License.

"""class for the Tree Prediction object

This module defines an auxiliary Prediction object that is used in the

Tree module to store all the available prediction info.

"""

class Prediction():

"""A Prediction object containing the predicted Node info or the

subtree grouped prediction info for proportional missing strategy

"""

def __init__(self, output, path, confidence,

distribution=None, count=None, distribution_unit=None,

median=None, children=None, d_max=None, d_min=None):

self.output = output

self.path = path

self.confidence = confidence

self.distribution = [] if distribution is None else distribution

self.count = (sum([instances for _, instances in self.distribution])

if count is None else count)

self.distribution_unit = ('categorical' if distribution_unit is None

else distribution_unit)

self.median = median

self.children = [] if children is None else children

self.min = d_min

self.max = d_max