#!/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 pipeline.param.base_param import BaseParam class KmeansParam(BaseParam): """ Parameters used for K-means. ---------- k : int, should be larger than 1 ,default 5. The number of the centroids to generate. max_iter : int, default 300. Maximum number of iterations of the hetero-k-means algorithm to run. tol : float, default 0.001。 random_stat: int, random state, default is None """ 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") 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))