package.json

{
	"name": "node-red-contrib-sparkml",
	"version": "1.0.0",
	"description": "NodeRED Extension Pack for SparkML",
	"main": "index.js",
	"scripts": {
		"test": "echo \"Error: No test specified\" && exit 1"
	},
	"keywords": [
		"node-red",
		"machine learning",
		"ml",
		"sparkml",
		"classification",
		"regression",
		"clustering",
		"outlier",
		"bigdata",
		"spark",
		"anomaly",
		"detection"
	],
	"author": "Abhinandan Dubey",
	"license": "ISC",
	"node-red": {
		"nodes": {
			"create sparkml dataset": "nodes/dataset/create-dataset/create-dataset.js",
			"load sparkml dataset": "nodes/dataset/load-dataset/load-dataset.js",
			"tokenize column": "nodes/transformers/tokenizer/tokenizer.js",
			"calculate term frequencies": "nodes/transformers/tf/tf.js",
			"calculate inverse document frequency": "nodes/transformers/idf/idf.js",
			"string indexer": "nodes/transformers/si/si.js",
			"vector indexer": "nodes/transformers/vi/vi.js",
			"vector assembler": "nodes/transformers/va/va.js",
			"sql transformer": "nodes/transformers/sql/sql.js",
			"decision tree classifier": "nodes/estimators/dtc/dtc.js",
			"gradient boosted tree classifier": "nodes/estimators/gbt/gbt.js",
			"logistic regression": "nodes/estimators/lr/lr.js",
			"multilayer perceptron classifier": "nodes/estimators/mpc/mpc.js",
			"random forest classifier": "nodes/estimators/rfc/rfc.js",
			"export predictions as csv": "nodes/exporters/predictions_csv/predictions_csv.js"
		}
	},
	"dependencies": {
		"child_process": "^1.0.2",
		"path": "^0.12.7"
	},
	"repository": {
		"type": "git",
		"url": "https://github.com/alivcor/node-red-contrib-sparkml.git"
	}
}