pogerma.blogg.se

1. #Weka jar file has the correct path how to
2. #Weka jar file has the correct path mac osx
3. #Weka jar file has the correct path archive
4. #Weka jar file has the correct path software

Then click connect, type a query in, hit execute and you'll be working with the NPS database. Click on the User button to supply the user / password for connecting to this database. In Weka Explorer, click on the Open DB button which will have the URL that you specified in the props file. On Linux, execute the following shell script: sh weka-start.sh # add netezza-connector (manually copied to weka path) and weka to classpathĬP="$CLASSPATH:/usr/share/java/:$WEKA_PATH/nzjdbc3.jar:$WEKA_PATH/weka.jar" If you use the following sample, save it as weka-start.sh:

#Weka jar file has the correct path archive

Let’s assume that the nzjdbc3.jar archive is located in the following directory:Ĭreate a startup script that will set your CLASSPATH and start Weka Explorer.

Enter the following name for the variable You can either create a new system-wide (if you are the only user) environment variable or a user-dependent one (recommended for multi-user machines). There you will find a button called Environment Variables, click it. In the Control Panel, click on System (or right-click on My Computer and select Properties) and then go to the Advanced tab. Let’s assume that the nzjdbc.jar archive is located in the following directory: Adjust your CLASSPATH variable to point to the Netezza driver: JdbcURL=jdbc:netezza://server_name:5480/database_nameĢ. In order to make a connection to NPS, create a file called DatabaseUtils.props as follows and save it to the Weka directory:

#Weka jar file has the correct path mac osx

The order of the following steps applies to the Linux, Windows, or Mac OSX versions.ġ. When you extract the downloaded file, you'll find that the product is self-contained in the folder that you extract. This example uses Weka 3-6 connecting to a NPS 4.6 P3 system using the 4.6 JDBC driver. Steps to create a connection from Weka Explorer to the NPS server.

#Weka jar file has the correct path software

You can learn more about this software by visiting. A value of 1 for the dependent variable shows that a person will go to the gym while a value of 0 shows that the person won’t go to the gym.Pentaho Data Mining, based on Weka project, is a comprehensive set of tools for machine learning and data mining. The dataset has two independent variables namely age and weight and one dependent variable, gym. Although we can still use the data from the CSV file, GridDB offers a number of benefits, especially improved query performance.

csv file named gym.csv, but we need to move it to GridDB. We will be predicting whether an individual will go to the gym or not based on their age and weight.

#Weka jar file has the correct path how to

In this article, we will be discussing how to implement the Decision Tree algorithm in Java.

The Decision Tree algorithm classifies examples by sorting them right from the root node to the leaf/terminal node, classifying the example.

-install-package where must be replaced by the path pointing to the Weka jar file, and is the wekaDeeplearning4j package zip file.

The values of the root attribute are then compared with the record’s attribute. When using Decision Trees to predict the class label for a record, we begin from the root of the tree. The goal of this algorithm is to create a model that can predict the value or class of the target variable by learning decision rules inferred from training data. Decision Tree is a supervised machine learning algorithm that can be used to solve both classification and regression problems.