whizzmler

{
    "name": "Batch-centroid",
    "description": "Create a dataset with a new column showing the cluster each instance belongs to",
    "inputs": [
        {
            "name": "source-id",
            "type": "source-id",
            "description": "Identifier of the input source"
        }

whizzmler

;; A simple function to get the max value in a list
(define (get-max xs) (reduce (lambda (x y) (if (> x y) x y)) (head xs) xs))

;; Get feature names given ids
(define (feature-names dataset-id ids)
  (let (fields (get (fetch dataset-id) "fields"))
    (map (lambda (id) (get-in fields [id "name"])) ids)))

;; Create a dataset sample
(define (sample-dataset ds-id rate oob)

whizzmler

{
	"name": "Gradient Boosting",
	"description": "Perform gradient boosting for classification",
	"inputs": [{
		"name": "dataset-id",
		"type": "dataset-id",
		"description": "Select the training dataset"
	}],
	"outputs": [{
		"name": "model-array",

whizzmler

{
  "name": "Normalize Dataset",
  "description": "Remove the top n anomalies from a dataset",
  "inputs": [
    {"name": "dataset-id", "type": "dataset-id", "description": "Dataset Id"},
    {"name": "top-n", "type": "number", "description": "Top N Anomalies to Remove"}
  ],
  "outputs": [
    {"name": "normalized-dataset", "type": "dataset-id", "description": "Normalized Dataset"}
  ],