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/429426/1948750
py domain7.py
# Description: Shows how to add class noise and missing attributes to data sets. Also shows how to test a single learner on a range of data sets.
# Category: preprocessing
# Uses: imports-
www.eeworm.com/read/143703/12850510
m geterror.m
%%
% file: getError.m
% This function calculates the error returned by the current run of the weak learner.
%%
function [errorTrain,errorTest]=getError(boost,train,train_label,test,test_label)
dis
www.eeworm.com/read/106504/6192176
txt 20.txt
#"/exhibits/parkphysics/coaster.html"
Amusement Park Physics -- Roller Coaster
For Teachers -- Annenberg/CPB Channel
A free satellite
www.eeworm.com/read/252978/12252017
java knn.java
package learner;
public class Knn implements Classifier {
int k;
Data data;
Knn(Data data, int k) {
this.data = data;
this.k = k;
}
public double test(Datastructure[] testdata
www.eeworm.com/read/312185/3675472
java splitter.java
package jboost.learner;
import java.io.Serializable;
import jboost.examples.AttributeDescription;
import jboost.examples.ExampleSet;
import jboost.examples.Instance;
/**
* A splitter recieves an e
www.eeworm.com/read/312185/3675474
java splitterbuilder.java
package jboost.learner;
import jboost.CandidateSplit;
import jboost.NotSupportedException;
import jboost.booster.Booster;
import jboost.examples.AttributeDescription;
import jboost.examples.Example;
www.eeworm.com/read/429426/1949340
py owlogisticregression.py
"""
Logistic Regression
Logistic regression learner/classifier.
icons/LogisticRegression.png
Martin Mozina (martin.mozina(@at@)fri.uni
www.eeworm.com/read/266457/11224818
m geterror.m
%%
% file: getError.m
% This function calculates the error returned by the current run of the weak learner.
%%
function [errorTrain,errorTest]=getError(boost,train,train_label,test,test_label)
dis
www.eeworm.com/read/365742/9849715
m cce.m
function output=CCE(train_bags,test_bags,traintarget,num,gamma,cost)
%CCE implements the algorithm described in [1], where Gaussian kernel LibSVM [2] is used as the base learner for transformed featu
www.eeworm.com/read/18335/784465
v slowl.v
`timescale 100 ps/100 ps
/*
* predict the next entry in the input
* stream of results
*/
module slow_learner(rst,guess, result, clk);
output guess;
input rst,result, clk;
reg guess;
al