*ML Workers

ml Workers

Name	Description	Number of Inputs	Number of Outputs
*ML_CLEAN_AUTOCLEAN	Auto Clean	1	2
*ML_DECISION_TREE_TRAIN	Train or classify using Decision Tree	3	1
*ML_EXPLORE_GET_SCHEMA	Get Schema	3	1
*ML_EXPLORE_RUN_PCA	RunPCA	3	1
*ML_EXPLORE_FEATURE_IMPORTANCE	Feature Importance	5	1
*ML_IMAGE_CLASSIFICATION_LEARN	Connects to a d3VIEW Image Classification Server to learn based on annotations generated from Image Annotator	3	5
*ML_LEARN_LINEAR	Linear Regression	12	5
*ML_LEARN_GNB	Gaussian Naive Bayes	6	5
*ML_LEARN_KMEANS	K-Means	5	5
*ML_LEARN_MLP_CLASSIFY	MLP-Classifier	6	5
*ML_LEARN_GPR	Gaussian Process Regression	10	5
*ML_LEARN_SVC	Support Vector Classifier	7	5
*ML_LEARN_DTREE	Decision Tree Classifier	8	5
*ML_LEARN_RFC	Random Forest Classifier	7	5
*ML_LEARN_SGDR	SGD Regression	12	5
*ML_LEARN_DTREEREG	Decision Tree Regression	10	5
*ML_LEARN_AUTO	Auto Regression	13	5
*ML_LEARN_BIRCHCLUSTERING	Birch clustering	5	5
*ML_LEARN_MLP	MLP Regression	14	5
*ML_LEARN_BAYESIANRIDGECV	BayesianRidge Regression with CV	10	5
*ML_LEARN_SPECTRALCLUSTERING	Spectral clustering	5	5
*ML_LEARN_LOGISTIC	Logistic Regression	10	5
*ML_LEARN_AGGLOMERATIVECLUSTERING	Agglomerative Clustering	5	5
*ML_LEARN_DBSCANCLUSTERING	DBSCAN clustering	5	5
*ML_LEARN_MEANSHIFT	Mean Shift Clustering	5	5
*ML_LEARN_AFFINITYPROPAGATION	Affinity Propagation	5	5
*ML_LEARN_SVR	Support Vector Regression	10	5
*ML_LEARN_ELASTICNET	ElasticNet Regression	10	5
*ML_LEARN_BAYESIANRIDGE	BayesianRidge Regression	10	5
*ML_LEARN_RIDGE	Ridge Regression	12	5
*ML_LEARN_LASSO	Lasso Regression	12	5
*ML_LEARN_GBOOSTR	Gradient Boost Regressor	11	5
*ML_LEARN_RFR	Random Forest Regression	11	5
*ML_PREDICT_INFO	ML Interactive Prediction	1	6
*ML_PREDICT_INTERACTIVE	ML Predict Info	7	1
*ML_PREDICT	ML Predict	4	1
*ML_SIMLYTIKS_TERMINAL	Learns and predicts the commands for Simlytiks based on data	7	2