dataExploration
Created: 2017-01-20 16:48:20
Last updated: 2017-01-20 16:55:38
This workflow allows the user to explore and process a dataset file.
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Workflow Components
Authors (1)
Brayan Stiven Zapata Impatá |
Titles (1)
Descriptions (1)
This workflows allows one to explore and process a given dataset file. These are the list of possible actions:
- Visualization (Histogram, Scatter plot)
- Normalization (Feature scaling, Standardization)
- Column drop
- Deal with missing values (Use mean as a replace, Drop samples)
- Cast to numeric labels
- Save the processed file |
Dependencies (0)
Inputs (2)
Name |
Description |
fileName |
Path to the dataset that will be processed. It is important to give such path surrounded by single quotes.
|
hasHeader |
If the given dataset includes a header row, this condition must be indicated writing --header like in the example. Otherwise, just leave it empty.
|
Processors (3)
Name |
Type |
Description |
loadDataset |
externaltool |
|
mainLoop |
workflow |
|
deleteTmp |
externaltool |
|
Beanshells (1)
Name |
Description |
Inputs |
Outputs |
checkAction |
This service checks if the condition is "true" and if so outputs a value in the pass_flags list and
leaves the fail_flags empty. If the condition is not true then the service outputs a value in the
fail_flags list and leaves the pass_flags empty. |
Action
|
plotHistogramFlags
plotScatterFlags
normFeatureFlags
normStandardFlags
dropFeatureFlags
replaceMissingMeanFlags
replaceMissingDropFlags
labelsToNumFlags
saveFlags
|
Outputs (1)
Name |
Description |
lastAction |
|
Datalinks (3)
Source |
Sink |
fileName |
loadDataset:fileName |
hasHeader |
loadDataset:hasHeader |
mainLoop:lastAction |
lastAction |
Coordinations (2)
Controller |
Target |
mainLoop |
deleteTmp |
loadDataset |
mainLoop |
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License
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licensed under:
Version 1
(of 1)
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