运行Deeplearning4J分类时DataVec矩阵中的零列
我试图运行deeplearning4j quickstart分类问题。
我使用的是Windows 8 64位，Oracle JDK 8，IntelliJ 2017.2.5和Maven 3.3.9。
我已经超越了早先困扰我的Canova问题。现在我在运行时遇到了一个新问题。
这是我为自己构建的pom.xml。我没有使用@newOne建议来使用示例pom.xml，因为我想确保我可以从头开始创建一个剥离的，而不依赖于他们的模块。
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>deeplearning4j.example</groupId>
<artifactId>deeplearning4j</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<maven.test.skip>false</maven.test.skip>
<timestamp>${maven.build.timestamp}</timestamp>
<maven.build.timestamp.format>MM-dd-yyyy HH:mm</maven.build.timestamp.format>
<timestamp>${maven.build.timestamp}</timestamp>
<maven.build.timestamp.format>MM-dd-yyyy HH:mm</maven.build.timestamp.format>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
<deeplearning4j.version>0.9.1</deeplearning4j.version>
<nd4j.version>0.9.1</nd4j.version>
</properties>
<dependencies>
<!-- https://mvnrepository.com/artifact/org.deeplearning4j/deeplearning4j-core -->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-core</artifactId>
<version>${deeplearning4j.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.deeplearning4j/deeplearning4j-nlp -->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-nlp</artifactId>
<version>${deeplearning4j.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.deeplearning4j/deeplearning4j-ui-components -->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-ui-components</artifactId>
<version>${deeplearning4j.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.deeplearning4j/deeplearning4j-ui-model -->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-ui-model</artifactId>
<version>${deeplearning4j.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.deeplearning4j/deeplearning4j-nearestneighbors-model -->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-nearestneighbors-model</artifactId>
<version>${deeplearning4j.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.nd4j/nd4j-api -->
<dependency>
<groupId>org.nd4j</groupId>
<artifactId>nd4j-native-platform</artifactId>
<version>${nd4j.version}</version>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.deeplearning4j/deeplearning4j-nn -->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>deeplearning4j-nn</artifactId>
<version>${deeplearning4j.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/jfree/jfreechart -->
<dependency>
<groupId>jfree</groupId>
<artifactId>jfreechart</artifactId>
<version>1.0.13</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.datavec/datavec-api -->
<dependency>
<groupId>org.datavec</groupId>
<artifactId>datavec-api</artifactId>
<version>0.9.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.deeplearning4j/dl4j-test-resources -->
<dependency>
<groupId>org.deeplearning4j</groupId>
<artifactId>dl4j-test-resources</artifactId>
<version>0.4.0</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-all</artifactId>
<version>1.10.19</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-source-plugin</artifactId>
<version>3.0.1</version>
<executions>
<execution>
<id>attach-sources</id>
<goals>
<goal>jar</goal>
</goals>
</execution>
<execution>
<id>attach-javadocs</id>
<goals>
<goal>jar</goal>
</goals>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.5.1</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-site-plugin</artifactId>
<version>3.4</version>
<dependencies>
<dependency>
<groupId>org.apache.maven.wagon</groupId>
<artifactId>wagon-http-lightweight</artifactId>
<version>1.0</version>
</dependency>
</dependencies>
</plugin>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>buildnumber-maven-plugin</artifactId>
<version>1.4</version>
<executions>
<execution>
<phase>generate-resources</phase>
<goals>
<goal>create-metadata</goal>
</goals>
</execution>
</executions>
<configuration>
<attach>true</attach>
<!--make it available for jar/war classpath resource -->
<addOutputDirectoryToResources>true</addOutputDirectoryToResources>
<revisionOnScmFailure>na</revisionOnScmFailure>
<doCheck>false</doCheck>
<doUpdate>false</doUpdate>
<revisionOnScmFailure>true</revisionOnScmFailure>
<format>{0,date,yyyy-MM-dd_HH-mm}_{1}</format>
<items>
<item>timestamp</item>
<item>${user.name}</item>
</items>
</configuration>
</plugin>
</plugins>
</build>
</project>
IntelliJ在我的Maven窗口中没有红色。我可以成功构建和打包代码而不会出现错误消息。
当我运行分类问题时，我在运行时收到此消息：
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
Exception in thread "ADSI prefetch thread" java.lang.RuntimeException: org.nd4j.linalg.exception.ND4JIllegalStateException: Invalid shape: Requested INDArray shape [50, 0] contains dimension size values < 1 (all dimensions must be 1 or more)
at org.deeplearning4j.datasets.iterator.AsyncDataSetIterator$AsyncPrefetchThread.run(AsyncDataSetIterator.java:442)
Caused by: org.nd4j.linalg.exception.ND4JIllegalStateException: Invalid shape: Requested INDArray shape [50, 0] contains dimension size values < 1 (all dimensions must be 1 or more)
at org.nd4j.linalg.factory.Nd4j.checkShapeValues(Nd4j.java:5022)
at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:5012)
at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:4965)
at org.nd4j.linalg.factory.Nd4j.create(Nd4j.java:4093)
at org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.convertWritables(RecordReaderMultiDataSetIterator.java:377)
at org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.convertFeaturesOrLabels(RecordReaderMultiDataSetIterator.java:271)
at org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.nextMultiDataSet(RecordReaderMultiDataSetIterator.java:234)
at org.deeplearning4j.datasets.datavec.RecordReaderMultiDataSetIterator.next(RecordReaderMultiDataSetIterator.java:177)
at org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.next(RecordReaderDataSetIterator.java:306)
at org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.next(RecordReaderDataSetIterator.java:393)
at org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator.next(RecordReaderDataSetIterator.java:51)
at org.deeplearning4j.datasets.iterator.AsyncDataSetIterator$AsyncPrefetchThread.run(AsyncDataSetIterator.java:423)
我应该在输入中调整什么来通过零列的矩阵？
1 个答案:
答案 0 :(得分：0)
我上面发布的pom完成了这项工作。
原来我的下一个问题是数据。我的训练和评估文件不正确。
一旦我有了正确的文件，我就在控制台窗口中得到了这个结果：
SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder".
SLF4J: Defaulting to no-operation (NOP) logger implementation
SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further details.
Evaluate model....
Examples labeled as 0 classified by model as 0: 100 times
Examples labeled as 1 classified by model as 1: 100 times
==========================Scores========================================
# of classes: 2
Accuracy: 1.0000
Precision: 1.0000
Recall: 1.0000
F1 Score: 1.0000
========================================================================
****************Example finished********************
作为一个额外的奖励，我有两个可爱的弹出窗口：
培训数据
评估数据
我很高兴能够通过deeplearning4j获得一分钱。我希望我的简化pom.xml可以帮助其他人。
干得好，deeplearning4j团队！我期待着更深入的潜水。
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