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{ | |
"name": "Assign Field Types by Field Name", | |
"description": "Sometimes, the automatic field detection does not assign field types correctly. This is especially a problem with fields that have a lot of missing values since the detection process only takes a peek at the data to determine if a field should be numeric, categorical, etc. This script allows you to alter the field types for a source based on the name of each field. Just put a partial match for the name in the list for the type you want to assign, and it will change all the fields whose name contain that string.", | |
"inputs": [ | |
{ | |
"name": "source", | |
"description": "Source to update.", | |
"type": "source-id" | |
}, | |
{ |
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{ | |
"name": "One Click Cluster Labels", | |
"description": "Given a cluster as input, assigns the cluster label to every instance in the dataset used to train the cluster.", | |
"inputs": [ | |
{ | |
"name": "cluster", | |
"description": "Cluster to use for labeling", | |
"type": "cluster-id" | |
} | |
], |
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{ | |
"name": "Apply Date Format by Field Name", | |
"description": "Allows applying a custom date format to a source by matching field names", | |
"inputs": [ | |
{ | |
"name": "source", | |
"description": "Source to update", | |
"type": "source-id" | |
} | |
], |
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{ | |
"name": "Lat/Long Distance between a pair of points", | |
"description": "Extends a dataset with the distance in meters between pairs of lat/long fields.", | |
"inputs": [ | |
{ | |
"name": "dataset-in", | |
"type": "dataset-id", | |
"description": "Dataset for extending with distance calculation." | |
}, | |
{ |
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