代码搜索:learner

找到约 833 项符合「learner」的源代码

代码结果 833
www.eeworm.com/read/429426/1948666

py tuning1.py

import orange, orngTree, orngWrap, orngStat learner = orngTree.TreeLearner() data = orange.ExampleTable("voting") tuner = orngWrap.Tune1Parameter(object=learner,
www.eeworm.com/read/312185/3675541

java candidatesplit.java

package jboost; import jboost.booster.Bag; import jboost.learner.Splitter; import jboost.learner.SplitterBuilder; /** * A class that holds a candidate base-rule. This includes the * Splitter, the
www.eeworm.com/read/486606/1249370

java i_reinforcementlearner_idtest.java

/** * i_ReinforcementLearner_idTest.java */ package EDU.gatech.cc.is.learning; import java.io.Serializable; /** * Application to test a reinforcement learner. * To test your learner, change th
www.eeworm.com/read/407965/2256849

java i_reinforcementlearner_idtest.java

/** * i_ReinforcementLearner_idTest.java */ package EDU.gatech.cc.is.learning; import java.io.Serializable; /** * Application to test a reinforcement learner. * To test your learner, change th
www.eeworm.com/read/261019/4326023

java i_reinforcementlearner_idtest.java

/** * i_ReinforcementLearner_idTest.java */ package EDU.gatech.cc.is.learning; import java.io.Serializable; /** * Application to test a reinforcement learner. * To test your learner, change th
www.eeworm.com/read/130196/5962981

m booster_base.m

function bob=booster_base(proto, boost_steps, param1, param2) % bob=booster_base(proto, boost_steps) % % Constructor for booster_base class % % BASECLASS(ES) : learner % Copyright (c) 1998 GMD Berli
www.eeworm.com/read/130196/5963107

m get_output.m

function [output_data]=get_output(lrn, in_data) % [output_data]=learner.get_output(lrn, in_data) % % parameter class % ----------------------------- % lrn - learner % in_data - data
www.eeworm.com/read/325480/3483550

m get_output.m

function [output_data]=get_output(lrn, in_data) % [output_data]=learner.get_output(lrn, in_data) % % parameter class % ----------------------------- % lrn - learner % in_data - data
www.eeworm.com/read/325480/3483557

m calc_output.m

function [output_data]=calc_output(lrn, in_data) % [output_data]=learner.calc_output(lrn, in_data) % % parameter class % ----------------------------- % lrn - learner % in_data - dou
www.eeworm.com/read/299717/3851181

m get_output.m

function [output_data]=get_output(lrn, in_data) % [output_data]=learner.get_output(lrn, in_data) % % parameter class % ----------------------------- % lrn - learner % in_data - data