*ML Workers =========== .. _Worker_Family_ml: .. list-table:: ml Workers :widths: 50 30 10 10 :header-rows: 1 * - Name - Description - Number of Inputs - Number of Outputs * - :ref:`\*ML_CLEAN_AUTOCLEAN ` - Auto Clean - 1 - 2 * - :ref:`\*ML_DECISION_TREE_TRAIN ` - Train or classify using Decision Tree - 3 - 1 * - :ref:`\*ML_EXPLORE_RUN_PCA ` - RunPCA - 3 - 1 * - :ref:`\*ML_EXPLORE_FEATURE_IMPORTANCE ` - Feature Importance - 5 - 1 * - :ref:`\*ML_EXPLORE_GET_SCHEMA ` - Get Schema - 3 - 1 * - :ref:`\*ML_IMAGE_CLASSIFICATION_LEARN ` - Connects to a d3VIEW Image Classification Server to learn based on annotations generated from Image Annotator - 3 - 5 * - :ref:`\*ML_LEARN_RFC ` - Random Forest Classifier - 7 - 5 * - :ref:`\*ML_LEARN_DTREEREG ` - Decision Tree Regression - 10 - 5 * - :ref:`\*ML_LEARN_MLP ` - MLP Regression - 14 - 5 * - :ref:`\*ML_LEARN_LINEAR ` - Linear Regression - 12 - 5 * - :ref:`\*ML_LEARN_AUTO ` - Auto Regression - 13 - 5 * - :ref:`\*ML_LEARN_DTREE ` - Decision Tree Classifier - 8 - 5 * - :ref:`\*ML_LEARN_GNB ` - Gaussian Naive Bayes - 6 - 5 * - :ref:`\*ML_LEARN_SVC ` - Support Vector Classifier - 7 - 5 * - :ref:`\*ML_LEARN_RFR ` - Random Forest Regression - 11 - 5 * - :ref:`\*ML_LEARN_SVR ` - Support Vector Regression - 10 - 5 * - :ref:`\*ML_LEARN_RIDGE ` - Ridge Regression - 12 - 5 * - :ref:`\*ML_LEARN_GPR ` - Gaussian Process Regression - 10 - 5 * - :ref:`\*ML_LEARN_GBOOSTR ` - Gradient Boost Regressor - 11 - 5 * - :ref:`\*ML_LEARN_SGDR ` - SGD Regression - 12 - 5 * - :ref:`\*ML_LEARN_DBSCANCLUSTERING ` - DBSCAN clustering - 5 - 5 * - :ref:`\*ML_LEARN_KMEANS ` - K-Means - 5 - 5 * - :ref:`\*ML_LEARN_MEANSHIFT ` - Mean Shift Clustering - 5 - 5 * - :ref:`\*ML_LEARN_BAYESIANRIDGECV ` - BayesianRidge Regression with CV - 10 - 5 * - :ref:`\*ML_LEARN_LASSO ` - Lasso Regression - 12 - 5 * - :ref:`\*ML_LEARN_MLP_CLASSIFY ` - MLP-Classifier - 6 - 5 * - :ref:`\*ML_LEARN_LOGISTIC ` - Logistic Regression - 10 - 5 * - :ref:`\*ML_LEARN_BAYESIANRIDGE ` - BayesianRidge Regression - 10 - 5 * - :ref:`\*ML_LEARN_BIRCHCLUSTERING ` - Birch clustering - 5 - 5 * - :ref:`\*ML_LEARN_ELASTICNET ` - ElasticNet Regression - 10 - 5 * - :ref:`\*ML_LEARN_AGGLOMERATIVECLUSTERING ` - Agglomerative Clustering - 5 - 5 * - :ref:`\*ML_LEARN_SPECTRALCLUSTERING ` - Spectral clustering - 5 - 5 * - :ref:`\*ML_LEARN_AFFINITYPROPAGATION ` - Affinity Propagation - 5 - 5 * - :ref:`\*ML_PREDICT_INTERACTIVE ` - ML Predict Info - 7 - 1 * - :ref:`\*ML_PREDICT_INFO ` - ML Interactive Prediction - 1 - 6 * - :ref:`\*ML_PREDICT ` - ML Predict - 4 - 1 * - :ref:`\*ML_SIMLYTIKS_TERMINAL ` - Learns and predicts the commands for Simlytiks based on data - 7 - 2