convert collection to a single table (ExampleSet)

acuriel

I'm using loop values and it generates different tables (ExampleSet) by value with the same attributes.
I need to have a table with all.

my out is

collection

table value 23: 
                  USER_ID  ITEM_ID
                  1          23

table value 54:
              USER_ID  ITEM_ID
                  1          54
...                     

I need this

ExampleSet
 
              USER_ID  ITEM_ID
                  1          23
                  1          54
                  ...        ...

Thanks

Marco_Boeck

Hi,

you've posted in the Development forum, so I'm assuming you want to know how to do it in Java. You will need to create a new ExampleSet with the same attributes as your existing sets have. You can then loop over each example (row) of each example set and add a row for each to the new one. See below for a quick example:

MemoryExampleTable table = new MemoryExampleTable(listOfAtts);

for (ExampleSet exSet : listOfExampleSets) {
	for (Example e : exSet) {
		table.addDataRow(e.getDataRow());
	}
}

ExampleSet exSet = table.createExampleSet();

In case you were looking for a solution inside RapidMiner Studio, just use the "Append" operator.

Regards,
Marco

VinayakThote

Append is also giving single collection object
Whats the solution?? I want single example set.

BalazsBaranyRM

Hi,

if you use Append correctly, it will give you an example set. This is working every time in hundreds of processes.

Please post a screenshot and the process XML if it doesn't work for you.

Regards,
Balázs

machbrown2

Hello,

It sounds like you want to concatenate or combine the tables generated for different values into a single table in your Example Set. If you are using a programming language or a tool that supports loops, you can achieve this by appending the tables for each value. Here's a general example using Python and pandas:
</code>import pandas as pd # Initialize an empty DataFrame to store the combined tables combined_table = pd.DataFrame(columns=["USER_ID", "ITEM_ID"]) # Example loop (replace this with your actual loop) for value in [23, 54, ...]: # Add all your loop values # Assuming you have a function to generate each table based on the loop value table_for_value = generate_table(value) # Append the table for the current value to the combined_table combined_table = pd.concat([combined_table, table_for_value], ignore_index=True) # Display the combined table print(combined_table)</pre><div><br>In this example:<br><ul><li>Replace <code>[23, 54, ...] with the actual values you are looping through.Replace generate_table(value) with the function or code that generates the table for each value.The pd.concat function is used to concatenate the tables vertically (row-wise). The ignore_index=True parameter ensures that the resulting DataFrame has a new index.Note: The exact implementation may vary based on the language or tool you are using. If you provide more details about your environment, I can offer a more specific solution.