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Change Class Distribution of Your Training...
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This example process shows how to change the class distribution of your training data set (in this case the training data is what ever comes out of the "myData reader").
The given training set has a distribution of 10 "Iris-setosa" examples, 40 "Iris-versicolor" examples and 50 "Iris-virginica" examples. The aim is to get a data set which has the class distribution for the label, lets say 10 "Iris-setosa", 20 "Iris-versicolor" and 20 "Iris-virginica.
Beware that this may change some propert...
Created: 2011-01-21
| Last updated: 2011-01-21
2. Getting Started: Retrieve and Apply a M...
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This getting started process demonstrates how to load (retrieve) a model from the repository and apply it to a data set. The result is a data set (at the lab output for "labeled data" ) with has a new "prediction" attribute which indicated the prediction for each example (ie. row/record).
You will need to adjust the path of the retrieve data operator to the actual location where the model is stored by a previews execution of the "1. Getting Started: Learn and Store a...
Created: 2011-01-17
| Last updated: 2011-01-19
1. Getting Started: Learn and Store a Model
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This getting started process shows the first step of learning and storing a model. After a model is learned, you can load (Retrieve operator) the model and apply it to a test data set (see 2. Getting Started: Retrieve and Apply Model). The process is NOT concerned with evaluation of the model. This process will not immediately run in RapidMiner because you have to adjust the repository path in the Retrieve operator.
Tags: Rapidminer, model, learn, learning, training, train, store, first step
Created: 2011-01-17
| Last updated: 2011-01-17
Generate percentages from absolute values
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This process demonstrates how to calculate the percentages of absolute values of one data record. The process first creates an aggregation attribute SumAll and then loops over the absolute value attributes and creates a new relative attributes.
Tags: relative, absolute, values, percentage, loop attributes, generate aggregation
Created: 2010-09-14
| Last updated: 2010-09-14
Macro Propagation into Subprocesses and Ex...
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This small process demonstrates how to propagate macros into a subprocess or Execute Process operator
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<p>
When macros are set once, they are available in subprocesses imediatly (see Generate Attributes in the seconde Subprocess operator)
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If someone wants to propagate a macro into a Excecute Process operator one need to edit the "macros" parameter in the Parameters list of the Execute Process operator.
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Tags: Subprocess, Execute Proc...
Created: 2010-06-25
Execute Program on Windows 7
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This simple process demonstrates how to execute a program on windows 7 even if the program path contains spaces.
The process will start the Internet Explore if the path exists.
Tags: Rapidminer, Execute Program, Windows 7
Created: 2010-06-09
Exclude a Attribute/Variable
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This simple process demonstrates how to exclude a attribute or set of attributes from an example set/data set.
In particular the first "Select Attributes" filter excludes the Outlook attribute. The second filter excludes subset {Outlook, Humidity}.
Created: 2010-05-20
Filter Wrong Predicted/Classified Samples
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This process demonstrates how to filter validation samples which are predicted incorrectly. Thee key operator is "Filter Examples" that is set up to "wrong_predictions"
Created: 2010-05-19
| Last updated: 2010-06-08
Apply Same Preprocessing to Learning and V...
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This process demonstrates how to apply the same prepossessing work flow to learning data and test/validation data.
Due to overview reasons the preprocessing is hidden in a Preprocessing subprocess.
To perform the same preprocessing work flow on the learning and testing data, both are collected to a Collection of Data. Then the "Loop Collection" operator loops over each collection.
The actual preprocessing is done inside the "Loop Collection" operator. In the example only a "Rename" is done...
Created: 2010-05-19
Write/Store Correlation Matrix to an Excel...
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This process demonstrates how to write/store/export the correlation matrix of the "Correlation Matrix" operator to an Excel file.
One need to generate a Report with the "Generate Report" operator and export the Report to an Excel file.
Created: 2010-05-19
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