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hetero_kmeans_param.py
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hetero_kmeans_param.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2019 The FATE Authors. All Rights Reserved.
#
# 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.
#
from federatedml.param.base_param import BaseParam
class KmeansParam(BaseParam):
"""
Parameters used for K-means.
----------
k : int, default 5
The number of the centroids to generate.
should be larger than 1 and less than 100 in this version
max_iter : int, default 300.
Maximum number of iterations of the hetero-k-means algorithm to run.
tol : float, default 0.001.
tol
random_stat : None or int
random seed
"""
def __init__(self, k=5, max_iter=300, tol=0.001, random_stat=None):
super(KmeansParam, self).__init__()
self.k = k
self.max_iter = max_iter
self.tol = tol
self.random_stat = random_stat
def check(self):
descr = "Kmeans_param's"
if not isinstance(self.k, int):
raise ValueError(
descr + "k {} not supported, should be int type".format(self.k))
elif self.k <= 1:
raise ValueError(
descr + "k {} not supported, should be larger than 1")
elif self.k > 100:
raise ValueError(
descr + "k {} not supported, should be less than 100 in this version")
if not isinstance(self.max_iter, int):
raise ValueError(
descr + "max_iter not supported, should be int type".format(self.max_iter))
elif self.max_iter <= 0:
raise ValueError(
descr + "max_iter not supported, should be larger than 0".format(self.max_iter))
if not isinstance(self.tol, (float, int)):
raise ValueError(
descr + "tol not supported, should be float type".format(self.tol))
elif self.tol < 0:
raise ValueError(
descr + "tol not supported, should be larger than or equal to 0".format(self.tol))
if self.random_stat is not None:
if not isinstance(self.random_stat, int):
raise ValueError(descr + "random_stat not supported, should be int type".format(self.random_stat))
elif self.random_stat < 0:
raise ValueError(
descr + "random_stat not supported, should be larger than/equal to 0".format(self.random_stat))