| Author | Lily Dong |
| Creation date | 06/01/2011 |
| Firing policy | all |
| Package | org.seasr.meandre.components.discovery.ruleassociation.fptree |
DESCRIPTION
Overview: This module transforms a SparseExampleTable containing term frequency values into a data structure, FPProb, that efficiently represents item occurrences within user supplied support constraints.
NOTE: All non-zero values for term frequency are treated alike -- they are counted as a positive occurrence for that row.
References: N/A.
Data Type Restrictions: The input table must be a SparseExampleTable containing term frequency information.
Data Handling: This module does not modify the input SparseExampleTable
Scalability: This module makes a constant number of passes over the table data. Memory usage is proportional to the size of the input SparseExampleTable
INPUTS
| Name | Description | Example |
|---|---|---|
sparse_table |
The input data table for pattern mining. |
OUTPUTS
| Name | Description | Example |
|---|---|---|
error |
This port is used to output any unhandled errors encountered during the execution of this component |
|
fp_prob |
An FPProb object representing. |
PROPERTIES
| Name | Description | Default value |
|---|---|---|
_debug_level |
Controls the verbosity of debug messages printed by the component during execution. Possible values are: off, severe, warning, info, config, fine, finer, finest, all Append ',mirror' to any of the values above to mirror that output to the server logs. |
info |
support |
The minimum support value for attributes in this data set. |
1 |
check_missing_values |
Query the input table to make sure there are no missing values. |
false |
remove_saturated_features |
Remove any attributes that appear in all rows. |
true |
_ignore_errors |
Set to 'true' to ignore all unhandled exceptions and prevent the flow from being terminated. Setting this property to 'false' will result in the flow being terminated in the event an unhandled exception is thrown during the execution of this component |
false |
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