Search.setIndex({"alltitles": {"Algorithms": [[1, null]], "Built-in Algorithms": [[14, null]], "Converters": [[10, null]], "Dag": [[8, null]], "Federated Environment": [[15, null]], "Frame": [[2, null]], "Full Script": [[14, "full-script"], [16, "full-script"]], "Full Script NN": [[16, "full-script-nn"]], "Helpers": [[11, null]], "Install SystemDS": [[12, null]], "Level 1": [[16, "level-1"]], "Level 2": [[16, "level-2"]], "Limitations": [[15, "limitations"]], "List": [[3, null]], "Matrix": [[4, null]], "Matrix Operations": [[13, "matrix-operations"]], "More complex operations": [[13, "more-complex-operations"]], "Multi-tenant Federated Learning": [[15, "multi-tenant-federated-learning"]], "Multiple Federated Environments": [[15, "multiple-federated-environments"]], "Operation Node": [[7, null]], "Pip": [[12, "pip"]], "Python end-to-end tutorial": [[16, null]], "QuickStart": [[13, null]], "Scalar": [[5, null]], "Script": [[9, null]], "Simple Aggregation Example": [[15, "simple-aggregation-example"]], "Source": [[6, null], [12, "source"]], "Start Federated worker": [[15, "start-federated-worker"]], "Step 1: Get Dataset": [[14, "step-1-get-dataset"]], "Step 1: Load and prepare data": [[16, "step-1-load-and-prepare-data"]], "Step 1: Obtain data": [[16, "step-1-obtain-data"]], "Step 2: Load the algorithm": [[16, "step-2-load-the-algorithm"]], "Step 2: Reshape & Format": [[14, "step-2-reshape-format"]], "Step 2: Training": [[16, "step-2-training"]], "Step 3: Confusion Matrix": [[16, "step-3-confusion-matrix"]], "Step 3: Training": [[14, "step-3-training"]], "Step 3: Training the neural network": [[16, "step-3-training-the-neural-network"]], "Step 3: Validate": [[14, "step-3-validate"]], "Step 4: Saving the model": [[16, "step-4-saving-the-model"]], "Step 4: Tuning": [[14, "step-4-tuning"]], "Step 5: Predict on Unseen data": [[16, "step-5-predict-on-unseen-data"]], "SystemDS": [[17, null]], "SystemDSContext": [[0, null]]}, "docnames": ["api/context/systemds_context", "api/operator/algorithms", "api/operator/node/frame", "api/operator/node/list", "api/operator/node/matrix", "api/operator/node/scalar", "api/operator/node/source", "api/operator/operation_node", "api/script_building/dag", "api/script_building/script", "api/utils/converters", "api/utils/helpers", "getting_started/install", "getting_started/simple_examples", "guide/algorithms_basics", "guide/federated", "guide/python_end_to_end_tut", "index"], "envversion": {"sphinx": 62, "sphinx.domains.c": 3, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 9, "sphinx.domains.index": 1, "sphinx.domains.javascript": 3, "sphinx.domains.math": 2, "sphinx.domains.python": 4, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.todo": 2}, "filenames": ["api/context/systemds_context.rst", "api/operator/algorithms.rst", "api/operator/node/frame.rst", "api/operator/node/list.rst", "api/operator/node/matrix.rst", "api/operator/node/scalar.rst", "api/operator/node/source.rst", "api/operator/operation_node.rst", "api/script_building/dag.rst", "api/script_building/script.rst", "api/utils/converters.rst", "api/utils/helpers.rst", "getting_started/install.rst", "getting_started/simple_examples.rst", "guide/algorithms_basics.rst", "guide/federated.rst", "guide/python_end_to_end_tut.rst", "index.rst"], "indexentries": {"__init__() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.__init__", false]], "__init__() (systemds.operator.frame method)": [[2, "systemds.operator.Frame.__init__", false]], "__init__() (systemds.operator.list method)": [[3, "systemds.operator.List.__init__", false]], "__init__() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.__init__", false]], "__init__() (systemds.operator.operationnode method)": [[7, "systemds.operator.OperationNode.__init__", false]], "__init__() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.__init__", false]], "__init__() (systemds.operator.source method)": [[6, "systemds.operator.Source.__init__", false]], "abs() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.abs", false]], "abs() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.abs", false]], "abstain() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.abstain", false]], "acos() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.acos", false]], "acos() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.acos", false]], "adasyn() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.adasyn", false]], "add_code() (systemds.script_building.script.dmlscript method)": [[9, "systemds.script_building.script.DMLScript.add_code", false]], "add_input_from_python() (systemds.script_building.script.dmlscript method)": [[9, "systemds.script_building.script.DMLScript.add_input_from_python", false]], "als() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.als", false]], "alscg() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.alsCG", false]], "alsds() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.alsDS", false]], "alspredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.alsPredict", false]], "alstopkpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.alsTopkPredict", false]], "ampute() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.ampute", false]], "argmax() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.argmax", false]], "argmin() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.argmin", false]], "arima() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.arima", false]], "array() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.array", false]], "asin() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.asin", false]], "asin() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.asin", false]], "atan() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.atan", false]], "atan() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.atan", false]], "auc() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.auc", false]], "autoencoder_2layer() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.autoencoder_2layer", false]], "bandit() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.bandit", false]], "bivar() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.bivar", false]], "build_code() (systemds.script_building.script.dmlscript method)": [[9, "systemds.script_building.script.DMLScript.build_code", false]], "capture_stats() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.capture_stats", false]], "capture_stats_context() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.capture_stats_context", false]], "cbind() (systemds.operator.frame method)": [[2, "systemds.operator.Frame.cbind", false]], "cbind() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cbind", false]], "ceil() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.ceil", false]], "ceil() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.ceil", false]], "cholesky() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cholesky", false]], "clear_stats() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.clear_stats", false]], "close() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.close", false]], "code_line() (systemds.operator.frame method)": [[2, "systemds.operator.Frame.code_line", false]], "code_line() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.code_line", false]], "code_line() (systemds.operator.operationnode method)": [[7, "systemds.operator.OperationNode.code_line", false]], "code_line() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.code_line", false]], "code_line() (systemds.operator.source method)": [[6, "systemds.operator.Source.code_line", false]], "code_line() (systemds.script_building.dag.dagnode method)": [[8, "systemds.script_building.dag.DAGNode.code_line", false]], "combine() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.combine", false]], "components() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.components", false]], "compute() (systemds.operator.frame method)": [[2, "systemds.operator.Frame.compute", false]], "compute() (systemds.operator.list method)": [[3, "systemds.operator.List.compute", false]], "compute() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.compute", false]], "compute() (systemds.operator.operationnode method)": [[7, "systemds.operator.OperationNode.compute", false]], "compute() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.compute", false]], "compute() (systemds.operator.source method)": [[6, "systemds.operator.Source.compute", false]], "compute() (systemds.script_building.dag.dagnode method)": [[8, "systemds.script_building.dag.DAGNode.compute", false]], "confusionmatrix() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.confusionMatrix", false]], "convert() (in module systemds.utils.converters)": [[10, "systemds.utils.converters.convert", false]], "cor() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.cor", false]], "cos() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cos", false]], "cos() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.cos", false]], "cosh() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cosh", false]], "cosh() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.cosh", false]], "countdistinct() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.countDistinct", false]], "countdistinctapprox() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.countDistinctApprox", false]], "cov() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.cov", false]], "cox() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.cox", false]], "create_params_string() (in module systemds.utils.helpers)": [[11, "systemds.utils.helpers.create_params_string", false]], "cspline() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.cspline", false]], "csplinecg() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.csplineCG", false]], "csplineds() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.csplineDS", false]], "cummax() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cummax", false]], "cummin() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cummin", false]], "cumprod() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cumprod", false]], "cumsum() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cumsum", false]], "cumsumprod() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.cumsumprod", false]], "cvlm() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.cvlm", false]], "dagnode (class in systemds.script_building.dag)": [[8, "systemds.script_building.dag.DAGNode", false]], "dbscan() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.dbscan", false]], "dbscanapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.dbscanApply", false]], "decisiontree() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.decisionTree", false]], "decisiontreepredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.decisionTreePredict", false]], "deepwalk() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.deepWalk", false]], "diag() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.diag", false]], "dict() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.dict", false]], "differencestatistics() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.differenceStatistics", false]], "discoverfd() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.discoverFD", false]], "dist() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.dist", false]], "dmlscript (class in systemds.script_building.script)": [[9, "systemds.script_building.script.DMLScript", false]], "eigen() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.eigen", false]], "exception_and_close() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.exception_and_close", false]], "execute() (systemds.script_building.script.dmlscript method)": [[9, "systemds.script_building.script.DMLScript.execute", false]], "execute_with_lineage() (systemds.script_building.script.dmlscript method)": [[9, "systemds.script_building.script.DMLScript.execute_with_lineage", false]], "executepipeline() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.executePipeline", false]], "exp() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.exp", false]], "exp() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.exp", false]], "f1score() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.f1Score", false]], "fdr() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.fdr", false]], "federated() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.federated", false]], "ffpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.ffPredict", false]], "fft() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.fft", false]], "fftrain() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.ffTrain", false]], "flattenquantile() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.flattenQuantile", false]], "floor() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.floor", false]], "floor() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.floor", false]], "frame (class in systemds.operator)": [[2, "systemds.operator.Frame", false]], "frame_block_to_pandas() (in module systemds.utils.converters)": [[10, "systemds.utils.converters.frame_block_to_pandas", false]], "frequencyencode() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.frequencyEncode", false]], "frequencyencodeapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.frequencyEncodeApply", false]], "from_numpy() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.from_numpy", false]], "from_pandas() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.from_pandas", false]], "full() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.full", false]], "garch() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.garch", false]], "gaussianclassifier() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.gaussianClassifier", false]], "get_lineage_trace() (systemds.operator.operationnode method)": [[7, "systemds.operator.OperationNode.get_lineage_trace", false]], "get_lineage_trace() (systemds.script_building.dag.dagnode method)": [[8, "systemds.script_building.dag.DAGNode.get_lineage_trace", false]], "get_module_dir() (in module systemds.utils.helpers)": [[11, "systemds.utils.helpers.get_module_dir", false]], "get_stats() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.get_stats", false]], "get_stderr() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.get_stderr", false]], "get_stdout() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.get_stdout", false]], "getaccuracy() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.getAccuracy", false]], "glm() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.glm", false]], "glmpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.glmPredict", false]], "gmm() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.gmm", false]], "gmmpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.gmmPredict", false]], "gnmf() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.gnmf", false]], "gridsearch() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.gridSearch", false]], "hospitalresidencymatch() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.hospitalResidencyMatch", false]], "hyperband() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.hyperband", false]], "ifft() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.ifft", false]], "img_brightness() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_brightness", false]], "img_brightness_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_brightness_linearized", false]], "img_crop() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_crop", false]], "img_crop_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_crop_linearized", false]], "img_cutout() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_cutout", false]], "img_cutout_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_cutout_linearized", false]], "img_invert() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_invert", false]], "img_invert_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_invert_linearized", false]], "img_mirror() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_mirror", false]], "img_mirror_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_mirror_linearized", false]], "img_posterize() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_posterize", false]], "img_posterize_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_posterize_linearized", false]], "img_rotate() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_rotate", false]], "img_rotate_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_rotate_linearized", false]], "img_sample_pairing() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_sample_pairing", false]], "img_sample_pairing_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_sample_pairing_linearized", false]], "img_shear() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_shear", false]], "img_shear_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_shear_linearized", false]], "img_transform() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_transform", false]], "img_transform_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_transform_linearized", false]], "img_translate() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_translate", false]], "img_translate_linearized() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.img_translate_linearized", false]], "impuritymeasures() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.impurityMeasures", false]], "imputebyfd() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.imputeByFD", false]], "imputebyfdapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.imputeByFDApply", false]], "imputebymean() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.imputeByMean", false]], "imputebymeanapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.imputeByMeanApply", false]], "imputebymedian() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.imputeByMedian", false]], "imputebymedianapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.imputeByMedianApply", false]], "imputebymode() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.imputeByMode", false]], "imputebymodeapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.imputeByModeApply", false]], "incsliceline() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.incSliceLine", false]], "intersect() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.intersect", false]], "inv() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.inv", false]], "isinf() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.isInf", false]], "isinf() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.isInf", false]], "isna() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.isNA", false]], "isna() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.isNA", false]], "isnan() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.isNaN", false]], "isnan() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.isNaN", false]], "km() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.km", false]], "kmeans() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.kmeans", false]], "kmeanspredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.kmeansPredict", false]], "knn() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.knn", false]], "knnbf() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.knnbf", false]], "knngraph() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.knnGraph", false]], "l2svm() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.l2svm", false]], "l2svmpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.l2svmPredict", false]], "lasso() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.lasso", false]], "lenetpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.lenetPredict", false]], "lenettrain() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.lenetTrain", false]], "list (class in systemds.operator)": [[3, "systemds.operator.List", false]], "list() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.list", false]], "lm() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.lm", false]], "lmcg() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.lmCG", false]], "lmds() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.lmDS", false]], "lmpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.lmPredict", false]], "lmpredictstats() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.lmPredictStats", false]], "log() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.log", false]], "log() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.log", false]], "logsumexp() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.logSumExp", false]], "lu() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.lu", false]], "mae() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.mae", false]], "mape() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.mape", false]], "matrix (class in systemds.operator)": [[4, "systemds.operator.Matrix", false]], "matrix_block_to_numpy() (in module systemds.utils.converters)": [[10, "systemds.utils.converters.matrix_block_to_numpy", false]], "matrixprofile() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.matrixProfile", false]], "max() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.max", false]], "mcc() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.mcc", false]], "mean() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.mean", false]], "median() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.median", false]], "mice() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.mice", false]], "miceapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.miceApply", false]], "min() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.min", false]], "module": [[1, "module-systemds.operator.algorithm", false], [8, "module-systemds.script_building.dag", false], [9, "module-systemds.script_building.script", false], [10, "module-systemds.utils.converters", false], [11, "module-systemds.utils.helpers", false]], "mse() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.mse", false]], "msmape() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.msmape", false]], "msvm() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.msvm", false]], "msvmpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.msvmPredict", false]], "multilogreg() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.multiLogReg", false]], "multilogregpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.multiLogRegPredict", false]], "na_locf() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.na_locf", false]], "naivebayes() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.naiveBayes", false]], "naivebayespredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.naiveBayesPredict", false]], "normalize() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.normalize", false]], "normalizeapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.normalizeApply", false]], "nrmse() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.nrmse", false]], "numpy_to_matrix_block() (in module systemds.utils.converters)": [[10, "systemds.utils.converters.numpy_to_matrix_block", false]], "operationnode (class in systemds.operator)": [[7, "systemds.operator.OperationNode", false]], "order() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.order", false]], "outlier() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.outlier", false]], "outlierbyarima() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.outlierByArima", false]], "outlierbyiqr() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.outlierByIQR", false]], "outlierbyiqrapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.outlierByIQRApply", false]], "outlierbysd() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.outlierBySd", false]], "outlierbysdapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.outlierBySdApply", false]], "pagerank() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.pageRank", false]], "pandas_to_frame_block() (in module systemds.utils.converters)": [[10, "systemds.utils.converters.pandas_to_frame_block", false]], "pass_python_data_to_prepared_script() (systemds.operator.frame method)": [[2, "systemds.operator.Frame.pass_python_data_to_prepared_script", false]], "pass_python_data_to_prepared_script() (systemds.operator.list method)": [[3, "systemds.operator.List.pass_python_data_to_prepared_script", false]], "pass_python_data_to_prepared_script() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.pass_python_data_to_prepared_script", false]], "pass_python_data_to_prepared_script() (systemds.operator.operationnode method)": [[7, "systemds.operator.OperationNode.pass_python_data_to_prepared_script", false]], "pass_python_data_to_prepared_script() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.pass_python_data_to_prepared_script", false]], "pass_python_data_to_prepared_script() (systemds.script_building.dag.dagnode method)": [[8, "systemds.script_building.dag.DAGNode.pass_python_data_to_prepared_script", false]], "pca() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.pca", false]], "pcainverse() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.pcaInverse", false]], "pcatransform() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.pcaTransform", false]], "pnmf() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.pnmf", false]], "ppca() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.ppca", false]], "print() (systemds.operator.operationnode method)": [[7, "systemds.operator.OperationNode.print", false]], "prod() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.prod", false]], "psnr() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.psnr", false]], "qr() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.qr", false]], "quantile() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.quantile", false]], "ragroupby() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.raGroupby", false]], "rajoin() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.raJoin", false]], "rand() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.rand", false]], "randomforest() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.randomForest", false]], "randomforestpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.randomForestPredict", false]], "raselection() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.raSelection", false]], "rbind() (systemds.operator.frame method)": [[2, "systemds.operator.Frame.rbind", false]], "rbind() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.rbind", false]], "read() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.read", false]], "replace() (systemds.operator.frame method)": [[2, "systemds.operator.Frame.replace", false]], "replace() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.replace", false]], "reshape() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.reshape", false]], "rev() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.rev", false]], "rmse() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.rmse", false]], "roll() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.roll", false]], "round() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.round", false]], "scalar (class in systemds.operator)": [[5, "systemds.operator.Scalar", false]], "scalar() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.scalar", false]], "scale() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.scale", false]], "scaleapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.scaleApply", false]], "scaleminmax() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.scaleMinMax", false]], "sd() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.sd", false]], "selectbyvarthresh() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.selectByVarThresh", false]], "seq() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.seq", false]], "ses() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.ses", false]], "setdiff() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.setdiff", false]], "sherlock() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.sherlock", false]], "sherlockpredict() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.sherlockPredict", false]], "shortestpath() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.shortestPath", false]], "sigmoid() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.sigmoid", false]], "sign() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.sign", false]], "sign() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.sign", false]], "sin() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.sin", false]], "sin() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.sin", false]], "sinh() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.sinh", false]], "sinh() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.sinh", false]], "skewness() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.skewness", false]], "slicefinder() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.slicefinder", false]], "sliceline() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.sliceLine", false]], "slicelinedebug() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.sliceLineDebug", false]], "slicelineextract() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.sliceLineExtract", false]], "smape() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.smape", false]], "smote() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.smote", false]], "softmax() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.softmax", false]], "solve() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.solve", false]], "source (class in systemds.operator)": [[6, "systemds.operator.Source", false]], "source() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.source", false]], "split() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.split", false]], "splitbalanced() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.splitBalanced", false]], "sqrt() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.sqrt", false]], "sqrt() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.sqrt", false]], "sqrtmatrix() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.sqrtMatrix", false]], "stablemarriage() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.stableMarriage", false]], "statsna() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.statsNA", false]], "steplm() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.steplm", false]], "stratstats() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.stratstats", false]], "sum() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.sum", false]], "svd() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.svd", false]], "symmetricdifference() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.symmetricDifference", false]], "systemds.operator.algorithm": [[1, "module-systemds.operator.algorithm", false]], "systemds.script_building.dag": [[8, "module-systemds.script_building.dag", false]], "systemds.script_building.script": [[9, "module-systemds.script_building.script", false]], "systemds.utils.converters": [[10, "module-systemds.utils.converters", false]], "systemds.utils.helpers": [[11, "module-systemds.utils.helpers", false]], "systemdscontext (class in systemds.context)": [[0, "systemds.context.SystemDSContext", false]], "t() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.t", false]], "take_stats() (systemds.context.systemdscontext method)": [[0, "systemds.context.SystemDSContext.take_stats", false]], "tan() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.tan", false]], "tan() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.tan", false]], "tanh() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.tanh", false]], "tanh() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.tanh", false]], "to_one_hot() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.to_one_hot", false]], "to_string() (systemds.operator.frame method)": [[2, "systemds.operator.Frame.to_string", false]], "to_string() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.to_string", false]], "to_string() (systemds.operator.scalar method)": [[5, "systemds.operator.Scalar.to_string", false]], "tomeklink() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.tomeklink", false]], "toonehot() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.toOneHot", false]], "trace() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.trace", false]], "tril() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.tril", false]], "triu() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.triu", false]], "tsne() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.tSNE", false]], "undersampling() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.underSampling", false]], "union() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.union", false]], "unique() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.unique", false]], "univar() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.univar", false]], "var() (systemds.operator.matrix method)": [[4, "systemds.operator.Matrix.var", false]], "vectortocsv() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.vectorToCsv", false]], "winsorize() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.winsorize", false]], "winsorizeapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.winsorizeApply", false]], "woe() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.WoE", false]], "woeapply() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.WoEApply", false]], "write() (systemds.operator.operationnode method)": [[7, "systemds.operator.OperationNode.write", false]], "xdummy1() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.xdummy1", false]], "xdummy2() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.xdummy2", false]], "xgboost() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.xgboost", false]], "xgboostpredictclassification() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.xgboostPredictClassification", false]], "xgboostpredictregression() (in module systemds.operator.algorithm)": [[1, "systemds.operator.algorithm.xgboostPredictRegression", false]]}, "objects": {"systemds.context": [[0, 0, 1, "", "SystemDSContext"]], "systemds.context.SystemDSContext": [[0, 1, 1, "", "__init__"], [0, 1, 1, "", "array"], [0, 1, 1, "", "capture_stats"], [0, 1, 1, "", "capture_stats_context"], [0, 1, 1, "", "clear_stats"], [0, 1, 1, "", "close"], [0, 1, 1, "", "combine"], [0, 1, 1, "", "dict"], [0, 1, 1, "", "exception_and_close"], [0, 1, 1, "", "federated"], [0, 1, 1, "", "from_numpy"], [0, 1, 1, "", "from_pandas"], [0, 1, 1, "", "full"], [0, 1, 1, "", "get_stats"], [0, 1, 1, "", "get_stderr"], [0, 1, 1, "", "get_stdout"], [0, 1, 1, "", "list"], [0, 1, 1, "", "rand"], [0, 1, 1, "", "read"], [0, 1, 1, "", "scalar"], [0, 1, 1, "", "seq"], [0, 1, 1, "", "source"], [0, 1, 1, "", "take_stats"]], "systemds.operator": [[2, 0, 1, "", "Frame"], [3, 0, 1, "", "List"], [4, 0, 1, "", "Matrix"], [7, 0, 1, "", "OperationNode"], [5, 0, 1, "", "Scalar"], [6, 0, 1, "", "Source"], [1, 2, 0, "-", "algorithm"]], "systemds.operator.Frame": [[2, 1, 1, "", "__init__"], [2, 1, 1, "", "cbind"], [2, 1, 1, "", "code_line"], [2, 1, 1, "", "compute"], [2, 1, 1, "", "pass_python_data_to_prepared_script"], [2, 1, 1, "", "rbind"], [2, 1, 1, "", "replace"], [2, 1, 1, "", "to_string"]], "systemds.operator.List": [[3, 1, 1, "", "__init__"], [3, 1, 1, "", "compute"], [3, 1, 1, "", "pass_python_data_to_prepared_script"]], "systemds.operator.Matrix": [[4, 1, 1, "", "__init__"], [4, 1, 1, "", "abs"], [4, 1, 1, "", "acos"], [4, 1, 1, "", "argmax"], [4, 1, 1, "", "argmin"], [4, 1, 1, "", "asin"], [4, 1, 1, "", "atan"], [4, 1, 1, "", "cbind"], [4, 1, 1, "", "ceil"], [4, 1, 1, "", "cholesky"], [4, 1, 1, "", "code_line"], [4, 1, 1, "", "compute"], [4, 1, 1, "", "cos"], [4, 1, 1, "", "cosh"], [4, 1, 1, "", "countDistinct"], [4, 1, 1, "", "countDistinctApprox"], [4, 1, 1, "", "cummax"], [4, 1, 1, "", "cummin"], [4, 1, 1, "", "cumprod"], [4, 1, 1, "", "cumsum"], [4, 1, 1, "", "cumsumprod"], [4, 1, 1, "", "diag"], [4, 1, 1, "", "eigen"], [4, 1, 1, "", "exp"], [4, 1, 1, "", "fft"], [4, 1, 1, "", "floor"], [4, 1, 1, "", "ifft"], [4, 1, 1, "", "inv"], [4, 1, 1, "", "isInf"], [4, 1, 1, "", "isNA"], [4, 1, 1, "", "isNaN"], [4, 1, 1, "", "log"], [4, 1, 1, "", "lu"], [4, 1, 1, "", "max"], [4, 1, 1, "", "mean"], [4, 1, 1, "", "median"], [4, 1, 1, "", "min"], [4, 1, 1, "", "order"], [4, 1, 1, "", "pass_python_data_to_prepared_script"], [4, 1, 1, "", "prod"], [4, 1, 1, "", "qr"], [4, 1, 1, "", "quantile"], [4, 1, 1, "", "rbind"], [4, 1, 1, "", "replace"], [4, 1, 1, "", "reshape"], [4, 1, 1, "", "rev"], [4, 1, 1, "", "roll"], [4, 1, 1, "", "round"], [4, 1, 1, "", "sd"], [4, 1, 1, "", "sign"], [4, 1, 1, "", "sin"], [4, 1, 1, "", "sinh"], [4, 1, 1, "", "sqrt"], [4, 1, 1, "", "sum"], [4, 1, 1, "", "svd"], [4, 1, 1, "", "t"], [4, 1, 1, "", "tan"], [4, 1, 1, "", "tanh"], [4, 1, 1, "", "to_one_hot"], [4, 1, 1, "", "to_string"], [4, 1, 1, "", "trace"], [4, 1, 1, "", "tril"], [4, 1, 1, "", "triu"], [4, 1, 1, "", "unique"], [4, 1, 1, "", "var"]], "systemds.operator.OperationNode": [[7, 1, 1, "", "__init__"], [7, 1, 1, "", "code_line"], [7, 1, 1, "", "compute"], [7, 1, 1, "", "get_lineage_trace"], [7, 1, 1, "", "pass_python_data_to_prepared_script"], [7, 1, 1, "", "print"], [7, 1, 1, "", "write"]], "systemds.operator.Scalar": [[5, 1, 1, "", "__init__"], [5, 1, 1, "", "abs"], [5, 1, 1, "", "acos"], [5, 1, 1, "", "asin"], [5, 1, 1, "", "atan"], [5, 1, 1, "", "ceil"], [5, 1, 1, "", "code_line"], [5, 1, 1, "", "compute"], [5, 1, 1, "", "cos"], [5, 1, 1, "", "cosh"], [5, 1, 1, "", "exp"], [5, 1, 1, "", "floor"], [5, 1, 1, "", "isInf"], [5, 1, 1, "", "isNA"], [5, 1, 1, "", "isNaN"], [5, 1, 1, "", "log"], [5, 1, 1, "", "pass_python_data_to_prepared_script"], [5, 1, 1, "", "sign"], [5, 1, 1, "", "sin"], [5, 1, 1, "", "sinh"], [5, 1, 1, "", "sqrt"], [5, 1, 1, "", "tan"], [5, 1, 1, "", "tanh"], [5, 1, 1, "", "to_string"]], "systemds.operator.Source": [[6, 1, 1, "", "__init__"], [6, 1, 1, "", "code_line"], [6, 1, 1, "", "compute"]], "systemds.operator.algorithm": [[1, 3, 1, "", "WoE"], [1, 3, 1, "", "WoEApply"], [1, 3, 1, "", "abstain"], [1, 3, 1, "", "adasyn"], [1, 3, 1, "", "als"], [1, 3, 1, "", "alsCG"], [1, 3, 1, "", "alsDS"], [1, 3, 1, "", "alsPredict"], [1, 3, 1, "", "alsTopkPredict"], [1, 3, 1, "", "ampute"], [1, 3, 1, "", "arima"], [1, 3, 1, "", "auc"], [1, 3, 1, "", "autoencoder_2layer"], [1, 3, 1, "", "bandit"], [1, 3, 1, "", "bivar"], [1, 3, 1, "", "components"], [1, 3, 1, "", "confusionMatrix"], [1, 3, 1, "", "cor"], [1, 3, 1, "", "cov"], [1, 3, 1, "", "cox"], [1, 3, 1, "", "cspline"], [1, 3, 1, "", "csplineCG"], [1, 3, 1, "", "csplineDS"], [1, 3, 1, "", "cvlm"], [1, 3, 1, "", "dbscan"], [1, 3, 1, "", "dbscanApply"], [1, 3, 1, "", "decisionTree"], [1, 3, 1, "", "decisionTreePredict"], [1, 3, 1, "", "deepWalk"], [1, 3, 1, "", "differenceStatistics"], [1, 3, 1, "", "discoverFD"], [1, 3, 1, "", "dist"], [1, 3, 1, "", "executePipeline"], [1, 3, 1, "", "f1Score"], [1, 3, 1, "", "fdr"], [1, 3, 1, "", "ffPredict"], [1, 3, 1, "", "ffTrain"], [1, 3, 1, "", "flattenQuantile"], [1, 3, 1, "", "frequencyEncode"], [1, 3, 1, "", "frequencyEncodeApply"], [1, 3, 1, "", "garch"], [1, 3, 1, "", "gaussianClassifier"], [1, 3, 1, "", "getAccuracy"], [1, 3, 1, "", "glm"], [1, 3, 1, "", "glmPredict"], [1, 3, 1, "", "gmm"], [1, 3, 1, "", "gmmPredict"], [1, 3, 1, "", "gnmf"], [1, 3, 1, "", "gridSearch"], [1, 3, 1, "", "hospitalResidencyMatch"], [1, 3, 1, "", "hyperband"], [1, 3, 1, "", "img_brightness"], [1, 3, 1, "", "img_brightness_linearized"], [1, 3, 1, "", "img_crop"], [1, 3, 1, "", "img_crop_linearized"], [1, 3, 1, "", "img_cutout"], [1, 3, 1, "", "img_cutout_linearized"], [1, 3, 1, "", "img_invert"], [1, 3, 1, "", "img_invert_linearized"], [1, 3, 1, "", "img_mirror"], [1, 3, 1, "", "img_mirror_linearized"], [1, 3, 1, "", "img_posterize"], [1, 3, 1, "", "img_posterize_linearized"], [1, 3, 1, "", "img_rotate"], [1, 3, 1, "", "img_rotate_linearized"], [1, 3, 1, "", "img_sample_pairing"], [1, 3, 1, "", "img_sample_pairing_linearized"], [1, 3, 1, "", "img_shear"], [1, 3, 1, "", "img_shear_linearized"], [1, 3, 1, "", "img_transform"], [1, 3, 1, "", "img_transform_linearized"], [1, 3, 1, "", "img_translate"], [1, 3, 1, "", "img_translate_linearized"], [1, 3, 1, "", "impurityMeasures"], [1, 3, 1, "", "imputeByFD"], [1, 3, 1, "", "imputeByFDApply"], [1, 3, 1, "", "imputeByMean"], [1, 3, 1, "", "imputeByMeanApply"], [1, 3, 1, "", "imputeByMedian"], [1, 3, 1, "", "imputeByMedianApply"], [1, 3, 1, "", "imputeByMode"], [1, 3, 1, "", "imputeByModeApply"], [1, 3, 1, "", "incSliceLine"], [1, 3, 1, "", "intersect"], [1, 3, 1, "", "km"], [1, 3, 1, "", "kmeans"], [1, 3, 1, "", "kmeansPredict"], [1, 3, 1, "", "knn"], [1, 3, 1, "", "knnGraph"], [1, 3, 1, "", "knnbf"], [1, 3, 1, "", "l2svm"], [1, 3, 1, "", "l2svmPredict"], [1, 3, 1, "", "lasso"], [1, 3, 1, "", "lenetPredict"], [1, 3, 1, "", "lenetTrain"], [1, 3, 1, "", "lm"], [1, 3, 1, "", "lmCG"], [1, 3, 1, "", "lmDS"], [1, 3, 1, "", "lmPredict"], [1, 3, 1, "", "lmPredictStats"], [1, 3, 1, "", "logSumExp"], [1, 3, 1, "", "mae"], [1, 3, 1, "", "mape"], [1, 3, 1, "", "matrixProfile"], [1, 3, 1, "", "mcc"], [1, 3, 1, "", "mice"], [1, 3, 1, "", "miceApply"], [1, 3, 1, "", "mse"], [1, 3, 1, "", "msmape"], [1, 3, 1, "", "msvm"], [1, 3, 1, "", "msvmPredict"], [1, 3, 1, "", "multiLogReg"], [1, 3, 1, "", "multiLogRegPredict"], [1, 3, 1, "", "na_locf"], [1, 3, 1, "", "naiveBayes"], [1, 3, 1, "", "naiveBayesPredict"], [1, 3, 1, "", "normalize"], [1, 3, 1, "", "normalizeApply"], [1, 3, 1, "", "nrmse"], [1, 3, 1, "", "outlier"], [1, 3, 1, "", "outlierByArima"], [1, 3, 1, "", "outlierByIQR"], [1, 3, 1, "", "outlierByIQRApply"], [1, 3, 1, "", "outlierBySd"], [1, 3, 1, "", "outlierBySdApply"], [1, 3, 1, "", "pageRank"], [1, 3, 1, "", "pca"], [1, 3, 1, "", "pcaInverse"], [1, 3, 1, "", "pcaTransform"], [1, 3, 1, "", "pnmf"], [1, 3, 1, "", "ppca"], [1, 3, 1, "", "psnr"], [1, 3, 1, "", "raGroupby"], [1, 3, 1, "", "raJoin"], [1, 3, 1, "", "raSelection"], [1, 3, 1, "", "randomForest"], [1, 3, 1, "", "randomForestPredict"], [1, 3, 1, "", "rmse"], [1, 3, 1, "", "scale"], [1, 3, 1, "", "scaleApply"], [1, 3, 1, "", "scaleMinMax"], [1, 3, 1, "", "selectByVarThresh"], [1, 3, 1, "", "ses"], [1, 3, 1, "", "setdiff"], [1, 3, 1, "", "sherlock"], [1, 3, 1, "", "sherlockPredict"], [1, 3, 1, "", "shortestPath"], [1, 3, 1, "", "sigmoid"], [1, 3, 1, "", "skewness"], [1, 3, 1, "", "sliceLine"], [1, 3, 1, "", "sliceLineDebug"], [1, 3, 1, "", "sliceLineExtract"], [1, 3, 1, "", "slicefinder"], [1, 3, 1, "", "smape"], [1, 3, 1, "", "smote"], [1, 3, 1, "", "softmax"], [1, 3, 1, "", "solve"], [1, 3, 1, "", "split"], [1, 3, 1, "", "splitBalanced"], [1, 3, 1, "", "sqrtMatrix"], [1, 3, 1, "", "stableMarriage"], [1, 3, 1, "", "statsNA"], [1, 3, 1, "", "steplm"], [1, 3, 1, "", "stratstats"], [1, 3, 1, "", "symmetricDifference"], [1, 3, 1, "", "tSNE"], [1, 3, 1, "", "toOneHot"], [1, 3, 1, "", "tomeklink"], [1, 3, 1, "", "underSampling"], [1, 3, 1, "", "union"], [1, 3, 1, "", "univar"], [1, 3, 1, "", "vectorToCsv"], [1, 3, 1, "", "winsorize"], [1, 3, 1, "", "winsorizeApply"], [1, 3, 1, "", "xdummy1"], [1, 3, 1, "", "xdummy2"], [1, 3, 1, "", "xgboost"], [1, 3, 1, "", "xgboostPredictClassification"], [1, 3, 1, "", "xgboostPredictRegression"]], "systemds.script_building": [[8, 2, 0, "-", "dag"], [9, 2, 0, "-", "script"]], "systemds.script_building.dag": [[8, 0, 1, "", "DAGNode"]], "systemds.script_building.dag.DAGNode": [[8, 1, 1, "", "code_line"], [8, 1, 1, "", "compute"], [8, 1, 1, "", "get_lineage_trace"], [8, 1, 1, "", "pass_python_data_to_prepared_script"]], "systemds.script_building.script": [[9, 0, 1, "", "DMLScript"]], "systemds.script_building.script.DMLScript": [[9, 1, 1, "", "add_code"], [9, 1, 1, "", "add_input_from_python"], [9, 1, 1, "", "build_code"], [9, 1, 1, "", "execute"], [9, 1, 1, "", "execute_with_lineage"]], "systemds.utils": [[10, 2, 0, "-", "converters"], [11, 2, 0, "-", "helpers"]], "systemds.utils.converters": [[10, 3, 1, "", "convert"], [10, 3, 1, "", "frame_block_to_pandas"], [10, 3, 1, "", "matrix_block_to_numpy"], [10, 3, 1, "", "numpy_to_matrix_block"], [10, 3, 1, "", "pandas_to_frame_block"]], "systemds.utils.helpers": [[11, 3, 1, "", "create_params_string"], [11, 3, 1, "", "get_module_dir"]]}, "objnames": {"0": ["py", "class", "Python class"], "1": ["py", "method", "Python method"], "2": ["py", "module", "Python module"], "3": ["py", "function", "Python function"]}, "objtypes": {"0": "py:class", "1": "py:method", "2": "py:module", "3": "py:function"}, "terms": {"": [1, 4, 10, 13], "0": [0, 1, 4, 5, 12, 13, 14, 15, 16], "00099": 1, "0011352": 13, "0014692": 13, "00324092": 13, "00616902": 13, "0095087": 13, "01": [1, 12, 13, 16], "01039221": 13, "01686351": 13, "02": [1, 13], "02033445": 13, "02649209": 13, "03": 1, "03839821": 13, "04": [1, 12], "04078623": 1, "05": 1, "06": 1, "07": 1, "08": 1, "09": 1, "09961844": 1, "0ubuntu122": 12, "1": [0, 1, 4, 5, 13, 15], "10": [0, 1, 12, 13, 14], "100": [1, 13, 14], "1000": 14, "10000": 14, "11": [1, 12], "1109": 1, "11538199": 1, "12": 1, "128": 1, "13": [1, 13], "1322": 1, "1328": 1, "14": 1, "1403": 1, "15": 1, "15000": 16, "16": [1, 16], "17": [1, 12], "18": [1, 12], "18954599": 1, "19": 1, "198": 15, "1k": 14, "1st": 1, "1xn": 1, "2": [1, 4, 13, 15], "20": [0, 1, 13], "200": 16, "2002": 1, "2006": 1, "2008": 1, "2010": 1, "2018": 1, "2019": 1, "2021": 1, "2023": 12, "20386541": 1, "21": 1, "22": 1, "2205885": 1, "23": 1, "24": 1, "243": 15, "25": 1, "255": 1, "25th": 1, "26": 1, "2662": 1, "26812763": 1, "27": 1, "28": [1, 14], "288": 15, "29": 1, "2902": 1, "2d": [1, 17], "2nd": 1, "2tp": 1, "3": [1, 12, 13, 15], "30": [0, 1, 14], "31": 1, "32": 1, "321": 1, "33": 1, "34": 1, "35": 1, "357": 1, "36": 1, "37": 1, "37957689": 1, "38": 1, "39": 1, "39956035": 1, "3rd": 1, "4": [1, 13, 15], "40": [0, 1], "42": 16, "4327084": 1, "43386048": 1, "45": 15, "49858968": 1, "5": [1, 13, 15], "50": [0, 1], "5000": 16, "50k": 16, "54638565": 1, "55358873": 1, "57000751": 1, "5x10": 13, "6": [1, 12, 15], "60000": 14, "60k": 14, "627": 1, "64": 12, "650": 1, "6652": 1, "68": 1, "681": 1, "690": 1, "7": [1, 15], "8": [1, 15], "8001": 15, "8002": 15, "8003": 15, "837": 1, "846": 1, "85": 14, "9": [1, 14, 15], "92": 14, "95": 1, "99": 1, "A": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 15, 16], "AND": 1, "And": [4, 14], "As": [1, 13], "But": 14, "By": 1, "For": [1, 4, 8, 9, 10, 11, 12, 14, 16], "If": [0, 1, 2, 3, 4, 5, 6, 7, 9, 14, 15, 16], "In": [0, 1, 4, 12, 14, 15, 16, 17], "It": [0, 1, 4, 14, 15, 16], "No": 1, "OF": 1, "One": [1, 13, 14], "Such": 1, "THE": 1, "TO": 1, "The": [0, 1, 2, 3, 4, 5, 6, 7, 10, 12, 13, 14, 15, 16, 17], "Then": [1, 12, 16], "There": [1, 7, 14], "These": 17, "To": [1, 7, 12, 13, 14, 15, 17], "Will": 0, "With": [1, 14, 16], "_": 16, "__init__": [0, 2, 3, 4, 5, 6, 7], "_t_sne": 1, "a_11": 1, "a_12": 1, "a_1i": 1, "a_1m": 1, "a_21": 1, "a_22": 1, "a_2j": 1, "a_2n": 1, "aart": 1, "ab": [4, 5], "abil": [0, 15], "abl": 15, "about": 1, "abov": [13, 14, 16], "absolut": [0, 1, 4, 5], "abstain": 1, "abstract": 17, "acc": [14, 16], "accept": 1, "acceptor": 1, "access": [3, 15, 16], "accord": 1, "account": [1, 16], "accur": 1, "accuraci": [1, 14, 16], "achiev": [1, 14, 16], "acm": 1, "aco": [4, 5], "across": 1, "action": [2, 4, 5, 6, 7, 8], "activ": [1, 2, 3, 4, 5, 6, 7, 8, 12], "actual": [1, 2, 3, 4, 5, 6, 7, 8, 13], "acycl": 8, "ad": [0, 1, 14], "adapt": 1, "adasyn": 1, "add": [0, 1, 9, 10, 13, 14, 16], "add_cod": 9, "add_input_from_python": 9, "added": 1, "addedx": 1, "addit": [1, 2, 3, 4, 5, 6, 7, 8], "addition": [1, 12, 16], "addr1": 15, "addr2": 15, "addr3": 15, "address": [0, 15], "adjac": 1, "adjust": 1, "adjusted_r2": 1, "adjusted_r2_nobia": 1, "adult": 16, "affin": 1, "affine1": 1, "affine2": 1, "affine3": 1, "affine4": 1, "after": [1, 12, 15], "afterward": [0, 16], "ag": 16, "again": [0, 14, 16], "against": 1, "aggreg": 4, "aic": 1, "aistat": 1, "akaik": 1, "al": 1, "algebra": 1, "algorithm": 13, "algorithm_to_find_the_interpolating_cubic_splin": 1, "alia": 1, "align": 1, "all": [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 12, 13, 15, 16], "alloc": 1, "allow": [0, 1, 6, 15], "almost": 16, "along": [1, 16], "alpha": 1, "alreadi": 9, "alscg": 1, "alsd": 1, "also": [0, 1, 4, 14, 15, 16], "alspredict": 1, "alstopkpredict": 1, "altern": 1, "although": [2, 3, 4, 5, 6], "alwai": [0, 1], "amount": [1, 14], "amplitud": 1, "amput": 1, "an": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 16], "analysi": 1, "analyz": [1, 16], "ani": [0, 1, 3, 8], "anneal": 1, "annoi": 0, "anoth": [1, 13, 15, 16], "another_comput": 0, "anylink": 1, "anymor": 1, "anyth": 0, "anyvari": 1, "apach": [0, 7, 12, 17], "api": [6, 12, 16], "append": [1, 14], "appli": [1, 4, 14, 16], "applic": [1, 4], "approach": [1, 15], "approxim": [1, 4], "ar": [0, 1, 2, 3, 4, 5, 6, 7, 8, 12, 14, 15, 16, 17], "arbitrari": 1, "arcco": [4, 5], "arch": 1, "architectur": 1, "archiv": 1, "arcsin": [4, 5], "arctan": [4, 5], "area": 1, "arg": 0, "argmax": 4, "argmin": 4, "argument": [1, 7, 16], "arima": 1, "arm": 1, "around": 1, "arrai": [0, 2, 3, 4, 5, 6, 7, 8, 10, 13, 14, 15, 17], "artifici": 1, "arxiv": 1, "asarrai": 15, "asin": [4, 5], "assess": 16, "assign": [1, 5], "assum": [1, 4, 12], "assumpt": 1, "atan": [4, 5], "attain": 1, "attempt": 1, "attribut": [1, 16], "auc": 1, "augment": 1, "austern": 1, "autocorrel": 1, "autoencod": 1, "autoencoder_2lay": 1, "automat": [0, 13], "avail": [1, 4, 5, 7, 14, 16], "averag": [1, 16], "avg_r": 1, "avg_res_i": 1, "avg_sample_size_per_centroid": 1, "avg_tot_i": 1, "avoid": [1, 13], "awai": 1, "axi": [1, 4], "b": [0, 1, 4], "background": 1, "backward": 1, "balanc": 1, "bandit": 1, "base": [1, 15, 16], "baselin": [1, 14], "baselinescor": 1, "basestats_nominal_nomin": 1, "basestats_nominal_scal": 1, "basestats_ordinal_ordin": 1, "basestats_scale_scal": 1, "basic": [11, 14, 16], "batch": [1, 16], "batch_siz": [1, 16], "bayesian": 1, "becaus": [0, 1, 12, 14], "becom": [1, 15], "been": [1, 14, 16], "befor": [0, 1, 2, 3, 4, 5, 6, 7, 8], "begin": [0, 1], "behavior": 9, "behind": 15, "believ": 1, "belong": 1, "below": [1, 2, 3, 4, 5, 6, 16], "benefit": 1, "bengio": 1, "bergmeira": 1, "bernoulli": 1, "best": [1, 16], "beta": [1, 16], "beta_max": 1, "beta_max_index": 1, "beta_min": 1, "beta_min_index": 1, "betalist": 1, "betas_r": 16, "better": [1, 16], "between": 1, "bfg": 1, "bhhh": 1, "bia": [1, 14], "bias": [1, 16], "bias_r": 14, "big": 1, "bilk": 1, "bin": [1, 12], "binari": [0, 1, 7], "bind": [2, 4, 17], "binomi": 1, "bit": [1, 12], "bivar": 1, "bivari": 1, "black": 1, "blend": 1, "blob": 1, "block": [0, 1, 10], "bodi": 1, "boehm": 1, "bool": [0, 1, 2, 3, 4, 5, 6, 7, 8], "boolean": [0, 1, 4, 5], "boost": 1, "both": [0, 1, 3, 4, 11, 15], "bottom": [14, 15], "bound": 1, "boundari": 1, "bowti": 1, "box": 1, "bracket": [1, 2, 4, 7], "breslow": 1, "bright": 1, "build": [2, 3, 4, 5, 6, 7, 8, 9, 12], "build_cod": 9, "built": [0, 1, 7, 13, 16], "builtin": [1, 2, 3, 4, 5, 6, 7, 8, 14], "bypass": 12, "c": 1, "calcul": [0, 1, 4, 5, 13, 14, 16], "call": [0, 1, 2, 3, 4, 5, 6, 7, 8, 11, 13, 14, 15, 16], "caller": 1, "can": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "candid": 1, "canon": 1, "capabl": [1, 16], "capac": 1, "captur": [0, 4, 5], "capture_stat": 0, "capture_statist": 0, "capture_stats_context": 0, "capture_stdout": 0, "carri": 1, "cart": 1, "case": [0, 1, 12, 14], "categor": [1, 16], "categori": 1, "cauchit": 1, "cb": 1, "cb1": 1, "cb2": 1, "cb3": 1, "cbind": [2, 4], "cd": 12, "ceil": [1, 4, 5], "cel": 1, "cell": [0, 1, 4, 13], "censor": 1, "censu": 16, "center": 1, "centroid": 1, "cg": 1, "chain": 1, "chang": [1, 4, 14, 15], "changesbyop": 1, "channel": 1, "channel_max": 1, "chao": 1, "charact": 1, "chawla": 1, "check": [1, 4, 12, 15], "chi": 1, "chih": 1, "child": 1, "choleski": 4, "choos": [1, 16], "chosen": 1, "christoph": 1, "cl": 1, "cl_t": 1, "class": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 16], "classic": 1, "classif": 1, "classifi": [1, 14, 16], "clean": [1, 12, 17], "cleanup": 0, "clear": [0, 1], "clear_stat": 0, "clockwis": 1, "cloglog": 1, "clone": 12, "close": [0, 1, 13], "cluster": 1, "clustermodel": 1, "cmask": 1, "cmax": 1, "cmin": 1, "cnn": 1, "co": [4, 5], "code": [1, 2, 4, 5, 6, 7, 8, 9, 12, 13, 14, 16], "code_lin": [2, 4, 5, 6, 7, 8], "coeffici": 1, "coincident": 15, "col": [0, 1, 4, 15], "col_nonzero": 1, "cola": 1, "colb": 1, "collect": 1, "colmax": 1, "colmean": 1, "color": 1, "colsd": 1, "column": [0, 1, 2, 4, 10, 14], "columnid": 1, "columnvector": 1, "com": [1, 12], "combin": [0, 1, 14, 15, 16], "come": 14, "comma": 1, "command": [0, 1, 12, 15], "comment": 1, "common": [1, 16], "commonli": 14, "commun": 0, "compar": 1, "comparison": 1, "compat": [12, 13], "compil": 17, "complementari": 1, "complet": [0, 1, 4, 13, 16], "complex": [1, 4], "compon": 1, "compress": 1, "compris": 1, "comput": [0, 1, 2, 3, 4, 5, 6, 7, 8, 13, 14, 15, 16], "comsumprod": 4, "concaten": [2, 4], "condit": 1, "conf_typ": 1, "confer": 1, "confid": 1, "configur": [1, 4], "confound": 1, "confus": 1, "confusion_matrix_ab": 16, "confusionmatrix": [1, 16], "conj": 1, "conjug": 1, "conjunct": 1, "connect": [0, 1], "consecut": 1, "conserv": 1, "consid": 1, "consist": [1, 4, 16], "consol": 1, "constant": 1, "constraint": 1, "construct": [0, 1, 2, 3, 4, 5, 6, 7], "constructor": 3, "consumpt": 1, "cont": 1, "contain": [0, 1, 2, 3, 4, 5, 7, 12, 14, 16], "content": 1, "context": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 13, 14, 15, 16], "contigu": 1, "continu": [1, 16], "continuo": 1, "contrast": 17, "control": 1, "conv1": 1, "conv2": 1, "converg": 1, "convers": [1, 10], "convert": [1, 2, 4, 5, 11], "coordin": [0, 1, 15], "cor": 1, "core": 1, "corner": 1, "correct": 1, "correctli": [0, 14, 15, 16], "correl": 1, "correspond": [1, 14], "cosh": [4, 5], "could": 14, "count": 1, "countdistinct": 4, "countdistinctapprox": 4, "counter": 1, "cov": 1, "covari": 1, "covariant": 1, "cox": 1, "cpu": 17, "creat": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 15], "create_params_str": 11, "create_python_dist": 12, "criterion": 1, "critic": 0, "crop": 1, "cross": 1, "cspline": 1, "csplinecg": 1, "csv": [0, 1, 15], "ctype": 1, "cubic": 1, "cummax": 4, "cummin": 4, "cumprod": 4, "cumsum": 4, "cumsumprod": 4, "current": [0, 1, 4, 5, 10, 15], "curv": 1, "custom": [1, 16], "cut": 1, "cutout": 1, "cv": 1, "cvk": 1, "cvlm": 1, "cw": 1, "cw1": 1, "cw2": 1, "cw3": 1, "czajkowski": 1, "d": [1, 14, 16], "dag": [2, 3, 4, 5, 6, 7, 9], "dag_root": 9, "dagnod": [0, 1, 2, 3, 4, 5, 7, 8, 9], "dat": 1, "data": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 17], "data_reduc": 1, "dataarg": 1, "datafram": [0, 2, 10, 16], "datamanag": [14, 16], "dataset": [1, 13, 16, 17], "datatensor": 17, "dbscan": 1, "dbscanappli": 1, "deactiv": 1, "debug": [0, 1], "decai": 1, "decis": 1, "decisiontre": 1, "decisiontreepredict": 1, "declar": [1, 6], "decompos": 4, "decomposit": [1, 4], "decreas": [1, 4], "deep": 1, "deepwalk": 1, "default": [0, 1, 4, 7], "defin": [0, 1, 2, 3, 4, 5, 6, 8, 16], "definit": 4, "degre": 1, "dehnert": 1, "delet": 1, "delimit": 15, "delta": 1, "denot": 1, "dens": 4, "depend": [1, 12], "depict": 1, "deploy": 17, "deprec": 1, "depth": 1, "deriv": [2, 3, 4, 5], "descent": 1, "describ": [1, 9], "descript": 1, "design": 1, "desir": 1, "destin": 7, "detail": [0, 1, 16], "detect": 1, "determin": 1, "dev": 1, "develop": 13, "devianc": 1, "deviance_g2": 1, "deviance_g2_by_df": 1, "deviance_g2_pv": 1, "deviance_sc": 1, "deviance_unsc": 1, "deviat": [1, 4], "df": 0, "dfam": 1, "dhcp": 15, "diag": [1, 4], "diagon": [1, 4], "dict": [0, 1, 2, 3, 4, 5, 6, 7, 8, 11], "dictionari": [0, 3, 11], "differ": [0, 1, 14, 15, 16, 17], "differenc": 1, "differencestatist": 1, "differenti": 15, "difficulti": 16, "dim": 15, "dimenison": 1, "dimens": [1, 14, 15, 17], "dimension": [1, 17], "direct": [1, 8], "directli": [0, 4, 13, 16], "disabl": 0, "discern": 1, "discoverfd": 1, "discoveri": 1, "disk": [0, 2, 3, 7, 16], "disp": 1, "dispers": 1, "dispersion_est": 1, "dist": 1, "distanc": 1, "distinct": [1, 4, 14], "distribt": 1, "distribut": [0, 1, 12, 14, 17], "divid": 1, "dm": 1, "dml": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 16], "dmlcode": 9, "dmlscript": 9, "do": [0, 1, 4, 12, 13, 15, 16], "docs_test": 16, "doe": [0, 1, 13, 14, 15], "doesn": 8, "doi": 1, "domin": 1, "don": 1, "done": [0, 1, 14, 15], "doubl": [0, 1, 13, 15], "download": [14, 16], "draw": 1, "drawback": 1, "drawn": 1, "drop": 1, "dropout": 1, "dth": 1, "dtype": 13, "dummi": 1, "duplic": 1, "dure": 1, "dyadic": 1, "dynam": 15, "e": [0, 1, 2, 3, 4, 5, 6, 7, 15, 16, 17], "each": [0, 1, 4, 14, 15, 16], "eamonn": 1, "earli": 1, "easier": 1, "easili": [7, 13], "edg": 1, "edu": 1, "educ": 16, "eee": 1, "effici": [1, 4, 17], "eg": 1, "eigen": [1, 4], "eigenvector": [1, 4], "either": [0, 1, 2, 3, 4, 5, 10, 16, 17], "element": [0, 1, 4, 5, 13], "elgam": 1, "elimin": 1, "els": 0, "embed": 1, "empti": 1, "en": 1, "enabl": [0, 1, 15], "encod": [1, 4], "encode_i": 16, "encode_x": 16, "encodelat": 1, "end": [0, 1, 17], "end_steps": 1, "end_to_end": 16, "end_vicin": 1, "engin": 17, "ensembl": 1, "ensur": [0, 1, 4, 15, 16], "entir": 17, "entri": 1, "entropi": 1, "entropymatrix": 1, "enumer": 1, "env": 12, "environ": 12, "ep": 1, "epoch": [1, 16], "epsilon": 1, "equal": [1, 2, 4, 5, 6, 7, 8], "equat": 1, "equival": 7, "err_typ": 1, "error": [0, 1, 7], "estim": 1, "et": 1, "eta": 1, "etc": 0, "euclidean": 1, "eval": [1, 16], "evalfunhp": 1, "evalu": [1, 2, 3, 4, 5, 6, 7, 8, 16], "evaluationfunc": 1, "event": 1, "everi": 1, "everyth": 14, "evid": 1, "exact": 1, "exampl": [0, 1, 13, 14, 16], "exce": 16, "except": [0, 1, 4], "exception_and_clos": 0, "exchang": 13, "exclud": 1, "execut": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 15, 16, 17], "execute_with_lineag": 9, "executepipelin": 1, "executionpolici": 12, "exhaust": [1, 14], "exist": [1, 17], "exp": [1, 4, 5], "expect": [1, 14], "expens": 0, "experiment": 1, "expertis": 17, "explain": 1, "explan": [14, 16], "explicitli": [1, 4], "explor": 14, "exponenti": [1, 4, 5], "extend": 1, "extra": [1, 7], "extract": [1, 14], "f": [1, 16], "f1": 1, "f1score": 1, "facilit": 17, "factor": 1, "failur": 1, "fall": 1, "fals": [0, 1, 2, 3, 4, 5, 6, 7, 8, 13, 14, 15, 16], "famili": 1, "fan": 1, "fast": [1, 4], "faster": 16, "fb": [1, 10], "fb1": 1, "fb2": 1, "fb3": 1, "fd": 1, "fdr": 1, "featur": [1, 13, 14, 16, 17], "feature_frac": 1, "feature_import": 1, "feature_max": 1, "fed": 15, "fed_a": 15, "feder": 0, "feed": [1, 16], "feedforward": 1, "few": 12, "ff": 1, "ffn_packag": 16, "ffn_package_2": 16, "ffpredict": 1, "fft": 4, "fftrain": 1, "fidel": 1, "file": [0, 1, 6, 7, 13, 15, 16], "filenam": 1, "fill": [0, 1, 13], "fill_valu": 1, "final": [1, 14], "find": 1, "finish": 0, "first": [1, 2, 4, 12, 13, 14, 15, 16, 17], "fisher": 1, "fist": 1, "fit": [1, 4, 14, 16], "fix": 1, "flag": [1, 4], "flagscount": 1, "flatten": 1, "flattenquantil": 1, "flexibl": [0, 1], "flip": 1, "float": [0, 1, 2, 3, 4, 5, 7], "floor": [4, 5], "fn": 1, "fnn": 16, "fold": 1, "folder": 1, "follow": [0, 1, 12, 15], "forc": 12, "forecast": 1, "forest": 1, "form": [0, 1], "format": [1, 7, 11, 15], "forward": [1, 16], "found": [1, 16], "four": 1, "fourier": 4, "fp": 1, "fraction": [0, 1, 16], "frame": [0, 1, 3, 4, 16], "frame_block_to_panda": 10, "frameblock": 10, "framework": 16, "freedom": 1, "freqcount": 1, "frequenc": 1, "frequencyencod": 1, "frequencyencodeappli": 1, "frequent": 1, "from": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 14, 15, 16, 17], "from_numpi": [0, 1, 13, 14, 15], "from_panda": 0, "ft": 1, "full": [0, 1, 13], "full_obj": 1, "func": [1, 3], "func_01": 0, "function": [0, 1, 2, 3, 4, 5, 6, 7, 11, 13, 14, 16], "fundament": 4, "further": [1, 14, 16], "furthermor": 1, "fw": 1, "fw1": 1, "fw2": 1, "fw3": 1, "g": [1, 2, 3, 4, 5, 6, 7, 16], "gain": 1, "gamma": 1, "gap": 1, "garch": 1, "gaussian": 1, "gaussianclassifi": 1, "gemm": 1, "gener": [0, 1, 2, 3, 4, 5, 6, 7, 8, 13], "geoffrei": 1, "get": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 16], "get_jspec": 16, "get_lineage_trac": [7, 8], "get_module_dir": 11, "get_preprocessed_dataset": 16, "get_stat": 0, "get_stderr": 0, "get_stdout": 0, "get_test_data": 14, "get_test_label": 14, "get_train_data": 14, "get_train_label": 14, "getaccuraci": 1, "getter": 0, "gi": 1, "gini": 1, "git": 12, "github": [0, 1, 7, 12], "give": [0, 1, 4, 11, 14], "given": [0, 1, 4, 7, 10], "glm": 1, "glmpredict": 1, "global": 1, "glorot": 1, "gmm": 1, "gmmpredict": 1, "gnmf": 1, "go": [1, 12, 14], "goal": 16, "godahewaa": 1, "goe": [13, 14], "good": [1, 14], "gpu": 17, "gradient": 1, "gradient_norm": 1, "graduent": 1, "graph": [1, 8], "greater": 1, "greedili": 1, "greenwood": 1, "gridsearch": 1, "ground": 1, "group": 1, "groupbi": 1, "grupbi": 1, "grzegorz": 1, "guarante": 1, "guid": 15, "h": [1, 4], "h1": 1, "h2": 1, "ha": [0, 1, 9, 14, 15, 16], "haibo": 1, "hand": [1, 2, 4], "handl": [0, 1, 3], "happen": 14, "hard": 1, "harmon": 1, "hash": 1, "hash2": 1, "have": [0, 1, 12, 13, 14, 15, 17], "hazard": 1, "hdf": 7, "he": 1, "header": 15, "height": 1, "held": 0, "help": [1, 17], "here": [1, 14, 15, 16], "heterogen": 17, "hidden": [1, 16], "high": [0, 13, 17], "higher": 1, "highest": [1, 14], "highli": [1, 13], "hin": 1, "histori": 1, "hold": 1, "homogen": 17, "horizon": 1, "horizont": 1, "horizontal_axi": 1, "horn": 1, "hospit": 1, "hospitalmatch": 1, "hospitalresidencymatch": 1, "host": 15, "hot": 1, "household": 4, "how": [1, 14, 16], "hpforprun": 1, "http": [0, 1, 7, 12], "hulsebo": 1, "human": 1, "hummingbird": 1, "hung": 1, "hybrid": 17, "hyndman": 1, "hyndmanb": 1, "hyper": 1, "hyperband": 1, "hyperparamet": [1, 16], "hypothesi": 1, "i": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 14, 15, 16, 17], "icdm": 1, "icpt": 1, "id": [1, 15], "ident": [1, 4, 16], "identifi": [1, 2, 3, 4, 5, 6, 7, 15], "idx": 10, "ieee": 1, "ifft": 4, "ignor": 1, "ikkan": 1, "imag": [1, 14], "imag_input": 4, "imaginari": 4, "imbal": 1, "imbalanc": 1, "img_bright": 1, "img_brightness_linear": 1, "img_crop": 1, "img_crop_linear": 1, "img_cutout": 1, "img_cutout_linear": 1, "img_in": 1, "img_in1": 1, "img_in2": 1, "img_invert": 1, "img_invert_linear": 1, "img_matrix": 1, "img_mirror": 1, "img_mirror_linear": 1, "img_poster": 1, "img_posterize_linear": 1, "img_rot": 1, "img_rotate_linear": 1, "img_sample_pair": 1, "img_sample_pairing_linear": 1, "img_shear": 1, "img_shear_linear": 1, "img_transform": 1, "img_transform_linear": 1, "img_transl": 1, "img_translate_linear": 1, "immedi": 7, "implement": [0, 1, 14], "import": [0, 1, 4, 6, 12, 13, 14, 15, 16], "improv": [1, 7, 14], "impur": 1, "impuritymeasur": 1, "imput": 1, "imputationvector": 1, "imputebyfd": 1, "imputebyfdappli": 1, "imputebymean": 1, "imputebymeanappli": 1, "imputebymedian": 1, "imputebymedianappli": 1, "imputebymod": 1, "imputebymodeappli": 1, "imputedvec": 1, "includ": [0, 1, 4, 16], "include_diagon": 4, "include_mean": 1, "incom": 16, "increas": [1, 4, 14, 16], "increment": [0, 1], "incslicelin": 1, "index": [0, 1, 4, 10], "index1": 1, "index2": 1, "index_return": 4, "indic": [0, 1, 4, 5, 14, 15], "indicesremov": 1, "individu": 1, "inf": [4, 5], "infer": 1, "infin": [1, 4, 5], "influenc": 1, "info": [0, 13, 14, 15, 16], "inform": [0, 1, 2, 3, 4, 5, 6, 7, 8], "init": 1, "init_param": 1, "initi": [1, 4], "inject": 1, "inner": 1, "inp_x": 1, "input": [1, 2, 3, 4, 5, 6, 7, 9, 14, 16], "input_var": 9, "insert": 0, "insid": [1, 12, 13], "inspect": 1, "instabl": 1, "instal": [14, 16], "instanc": [0, 1, 2, 10, 13, 14], "instead": [1, 4, 12, 13, 16], "instruct": [0, 15], "int": [0, 1, 2, 3, 4, 5, 7], "integ": [0, 1, 14], "integr": [1, 16, 17], "intellig": 1, "intend": [2, 4, 5, 6, 7, 8, 9], "inter": 1, "interact": 1, "intercept": 1, "interest": [1, 4], "interfac": 17, "intermedi": [0, 15], "intern": [0, 1, 8, 9, 10, 11, 13, 16], "interpol": 1, "interpret": 0, "intersect": 1, "interv": 1, "intial": 1, "introduc": [1, 16], "inv": 4, "invers": [1, 4], "invert": 1, "invgaussian": 1, "invok": 1, "involv": 12, "io": [0, 1, 7], "ip": 15, "iqr": 1, "is_datatype_non": 7, "is_datatype_unknown": 7, "is_point_upd": 1, "is_python_local_data": [2, 3, 4, 5, 6, 7], "is_trust_reach": 1, "is_verbos": 1, "isdir": 15, "isinf": [4, 5], "isit": 1, "isna": [4, 5], "isnan": [4, 5], "isol": 15, "isweight": 1, "item": 1, "iter": [0, 1, 2, 3, 4, 5, 7, 11, 14], "iterait": 1, "ith": 1, "its": [1, 4, 15], "itself": [1, 3], "j": [0, 1], "jacobi": 1, "jame": 1, "jar": 12, "java": [0, 1, 2, 3, 4, 5, 7, 8, 12], "javaobject": [2, 3, 4, 5, 7, 8, 9, 10], "jinliang": 1, "jmlr": 1, "join": 1, "joint": 1, "journal": 1, "jspec_data": 16, "jspec_label": 16, "jth": 1, "just": [1, 12], "jvm": [0, 2, 3, 4, 5, 7, 8, 10], "jvmview": [7, 8, 10], "k": 1, "k2": 1, "k_max": 1, "k_min": 1, "k_valu": 1, "kaplan": 1, "keep": [1, 14], "keerthi": 1, "kind": 1, "km": 1, "kmax": 1, "kmean": 1, "kmeanspredict": 1, "knn": 1, "knnbf": 1, "knngraph": 1, "knot": 1, "know": 14, "knowledg": 1, "known": [1, 14], "koehler": 1, "kth": 1, "kwarg": [0, 1, 2, 4, 5, 7], "l": [1, 4], "l1": 1, "l2": 1, "l2svm": [1, 13], "l2svmpredict": 1, "l3": 1, "label": [1, 13, 14, 16], "lamb": 0, "lambda": [0, 1], "languag": [0, 7, 17], "laplac": 1, "larg": [1, 4], "larger": 4, "largest": 1, "lasso": 1, "last": [1, 15], "later": [14, 16], "lattic": 1, "layer": [1, 16], "lazi": [2, 3, 4, 5, 6, 7, 8, 15], "lazili": 7, "leaf": 1, "learn": [1, 14, 16], "learning_r": [1, 16], "least": [0, 1], "leav": [0, 1], "led": 1, "left": [0, 1, 15], "leftmost": 1, "leiser": 1, "lenet": 1, "lenetpredict": 1, "lenettrain": 1, "length": 1, "less": 1, "let": 13, "level": [0, 1, 3, 13, 17], "leverag": 15, "li": 1, "librari": 12, "lifecycl": 17, "like": [1, 3, 13, 14, 15, 16], "likelihood": 1, "limit": [1, 16], "lin": 1, "line": [0, 1, 2, 4, 5, 6, 7, 8, 9, 12], "lineag": [2, 3, 4, 5, 6, 7, 8, 9], "linear": 1, "linear_term_max": 1, "linear_term_min": 1, "link": 1, "linux": 12, "list": [0, 1, 4, 14, 15], "liu": 1, "lm": 1, "lmcg": 1, "lmd": 1, "lmdc": 1, "lmgc": 1, "lmpredict": 1, "lmpredictstat": 1, "load": 14, "loader": 14, "loc": 15, "local": [2, 3, 4, 5, 6, 7, 9, 15, 17], "local_data": [2, 4], "localhost": 15, "locat": [1, 4, 5, 7, 15], "locf": 1, "log": [0, 1, 4, 5, 13, 14, 15, 16], "log_loss": 1, "logarithm": [4, 5], "logcosh_loss": 1, "logging_level": 0, "logic": 1, "logist": [1, 14, 16], "logit": 1, "loglhood_z": 1, "loglhood_z_pv": 1, "logsumexp": 1, "longest": 1, "look": [1, 7, 12, 13, 15], "loop": 1, "loss": 1, "loss_fcn": 1, "lossi": 1, "lost": 1, "lot": 1, "low": 1, "lower": [1, 4], "lp": 1, "lphp": 1, "lpow": 1, "lr": 1, "lrelu": 1, "lu": 4, "lvdmaaten": 1, "m": [1, 4, 12, 13, 14, 16], "m1": [13, 16], "m1_r": 16, "m2": [13, 16], "m2_r": 16, "m_re": 13, "m_res_np": 13, "ma": 1, "maaten": 1, "machin": [1, 2, 3, 4, 5, 7, 8], "made": [1, 14, 16], "madelon": 1, "mae": 1, "mai": [1, 17], "main": [1, 4, 12], "maintain": 0, "mainten": 1, "major": 1, "make": [1, 12, 13, 14, 15, 16], "malewicz": 1, "manag": 0, "mani": 1, "manifold": 1, "mansoc": 1, "map": 1, "mape": 1, "mapreduc": 1, "margin": 1, "marit": 16, "market": 0, "marriag": 1, "mask": 1, "mat": 0, "match": 1, "materi": 1, "math": 1, "matric": [1, 2, 4, 15, 16], "matrix": [0, 1, 3, 5, 10, 14, 15], "matrix_block_to_numpi": 10, "matrixblock": 10, "matrixprofil": 1, "matthew": 1, "matthia": 1, "maven": 12, "max": [0, 1, 4], "max_dataratio": 1, "max_depth": 1, "max_epoch": 1, "max_featur": 1, "max_func_invoc": 1, "max_it": 1, "max_iter": 1, "max_valu": 1, "maxi": [1, 14], "maxii": 1, "maxima": [1, 4], "maximum": [0, 1, 4], "maxiter": 1, "maxl": 1, "mb": 10, "mcc": 1, "mean": [1, 4, 7, 14, 15, 16], "measur": 1, "median": [1, 4], "medium": 4, "meier": 1, "memori": [1, 4, 17], "merg": 1, "messag": [0, 1], "meta": [1, 16], "metadata": [15, 16], "metalist": 1, "metaprevlattic": 1, "method": [0, 1, 2, 3, 4, 5, 6, 7, 8], "mf": 1, "mice": 1, "miceappli": 1, "might": [0, 1, 12], "mii": 1, "min": [0, 1, 4], "min_leaf": 1, "min_split": 1, "mine": 1, "mini": 1, "minibatch": 1, "minim": 1, "minima": [1, 4], "minimum": [1, 4], "minor": 1, "minpt": 1, "minsup": 1, "miss": 1, "mix": 12, "mixtur": 1, "mkdir": 15, "ml": [1, 17], "mnist": 14, "mode": [1, 12, 15], "model": [1, 13, 14, 15, 17], "modifi": [1, 13], "modul": 11, "moi": 1, "momentum": 1, "monash": 1, "monoton": 1, "montero": 1, "more": [0, 1, 14, 16], "most": [1, 4, 7, 16], "motif": 1, "move": 1, "mse": 1, "msmape": 1, "msvm": 1, "msvmpredict": 1, "mtd": 15, "mtea": 1, "mtx": 1, "mu": 1, "much": [1, 14], "multi": [1, 17], "multilogreg": [1, 14, 16], "multilogregpredict": [1, 14, 16], "multinomi": [1, 16], "multipl": [0, 1, 2, 3, 4, 5, 6, 7, 12, 13, 14], "multipli": [1, 13, 14, 15], "multireturn": 4, "multivari": 1, "must": [0, 1, 4], "mvn": 12, "n": [1, 4], "n_bin": 1, "n_compon": 1, "na": [1, 4, 5], "na_locf": 1, "naivebay": 1, "naivebayespredict": 1, "nakandala": 1, "name": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 16], "named_input_nod": [2, 3, 4, 5, 6, 7], "named_input_var": [2, 4, 5, 6, 7, 8], "named_paramet": 11, "nan": [1, 4, 5], "nati": 1, "natur": [1, 4], "nb": 1, "ncol": 1, "nd": 1, "nearest": [1, 4], "necessari": [0, 12, 13, 16], "need": [0, 1, 4, 12, 15, 16], "neg": [1, 4, 5], "neighbor": 1, "neighborhood": 1, "neither": 1, "nest": [1, 17], "network": [1, 15], "network_r": 16, "neural": 1, "neural_net_sourc": 16, "neural_net_src_path": 16, "neuron": [1, 16], "new": [0, 1, 4, 12, 13], "newer": 12, "newton": 1, "next": [1, 15], "nical": 1, "nitesh": 1, "nocb": 1, "node": [0, 1, 2, 3, 4, 5, 6, 8], "nois": 1, "noise_ratio": 1, "nomin": 1, "non": [0, 1, 4, 12], "none": [0, 1, 2, 3, 4, 5, 7, 8, 9], "nonneg": 1, "nonzero": 1, "nor": 1, "norm": 1, "normal": [0, 1], "normalizeappli": 1, "note": [0, 1, 4, 12, 13, 14, 15, 16], "noteworthi": 14, "noth": [7, 13, 14, 16], "now": [12, 14, 16], "np": [1, 13, 15], "np_arr": 10, "nrmse": 1, "nrow": [1, 4], "num": 1, "num_cg_it": 1, "num_class": 4, "num_el": 10, "num_featur": 1, "num_hidden1": 1, "num_hidden2": 1, "num_tre": 1, "num_valu": 1, "numb": 1, "number": [0, 1, 4, 5, 10, 12, 13, 14], "numclass": 1, "numer": 1, "numpi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 15], "numpy_to_matrix_block": 10, "nx1": 1, "nxm": 1, "o": [1, 15], "o_h": 1, "o_w": 1, "obj": 1, "obj_drop_pr": 1, "obj_drop_r": 1, "obj_drop_ratio": 1, "object": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 16], "observ": 1, "occup": 16, "occur": [1, 15], "odd": 1, "off": 1, "offset": 1, "offset_i": 1, "offset_x": 1, "oh": 1, "old": 1, "older": 12, "oldx": 1, "omit": 1, "onc": [0, 1, 12, 15, 16], "one": [0, 1, 3, 4, 6, 13, 14, 15, 16], "onehot": 4, "onehotencod": 4, "ones": [1, 4, 13, 15], "onli": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16], "onlycompon": 1, "onstant": 1, "onto": 1, "op": [1, 8, 9, 10, 11], "open": [0, 12, 15], "openjdk": 12, "oper": [0, 1, 2, 3, 4, 5, 6, 8, 9, 14, 15, 16, 17], "operationnod": [0, 2, 3, 4, 5, 6, 7], "opposit": 1, "optim": 1, "option": [0, 1, 4], "order": [1, 4, 15, 17], "ordin": 1, "ordinari": 1, "org": 1, "origin": [1, 4], "original_col": 1, "original_row": 1, "orthogon": 4, "osdi20": 1, "other": [1, 2, 3, 4, 6, 12, 14, 15], "otherwis": 1, "our": [9, 11, 13, 14, 15, 16], "out": [0, 1, 4], "out_activ": 1, "out_h": 1, "out_w": 1, "outer": 1, "outlier": 1, "outlierbyarima": 1, "outlierbyiqr": 1, "outlierbyiqrappli": 1, "outlierbysd": 1, "outlierbysdappli": 1, "output": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 14], "output_typ": [2, 3, 4, 5, 6, 7], "outsid": 1, "over": [1, 17], "overal": [1, 14, 16], "overfit": 1, "overflow": 1, "overload": 7, "oversampl": 1, "overview": 1, "own": 1, "p": [1, 4, 12], "p1": 1, "p2": 1, "p3": 1, "p4": 1, "pablo": 1, "packag": [1, 12, 13, 17], "page": [1, 14], "pagerank": 1, "pair": [0, 1, 2, 4, 5, 6, 7, 8], "panda": [0, 7, 10, 16], "pandas_to_frame_block": 10, "paper": 1, "paragraph": 1, "parallel": 1, "param": [0, 1, 2, 4], "paramet": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 16], "paramrang": 1, "paramvalu": 1, "parent": 1, "pars": 0, "part": [1, 4, 12], "partial": 1, "partner": 1, "pass": [0, 1, 2, 3, 4, 5, 7, 8, 9], "pass_python_data_to_prepared_script": [2, 3, 4, 5, 7, 8], "path": [0, 1, 6, 7, 11, 15, 16], "path_to_fil": 0, "pathlik": [0, 11], "patter": 3, "pattern": [1, 2, 4], "pb": 1, "pb1": 1, "pb2": 1, "pb3": 1, "pca": 1, "pcainvers": 1, "pcatransform": 1, "pd_df": 10, "pd_seri": 10, "pdf": [0, 1], "peak": 1, "peak_sign": 1, "pearson": 1, "pearson_x2": 1, "pearson_x2_by_df": 1, "pearson_x2_pv": 1, "penalti": 1, "per": [1, 14], "percentag": 1, "perfect": 1, "perfectli": 14, "perform": [1, 2, 3, 4, 5, 6, 7, 10, 13, 14, 15, 16], "period": 1, "permut": [1, 4], "perplex": 1, "person": [1, 16], "perspect": 15, "peto": 1, "phase": 1, "pictur": 14, "pip3": 12, "pipelin": 1, "pivot": 4, "pixel": [1, 14], "place": 1, "plain": 1, "plan": 17, "platform": 1, "pleas": [0, 12, 16], "pnmf": 1, "po": 1, "point": [0, 1, 12], "point_step_norm": 1, "pointer": 10, "poison": 0, "poisson": 1, "pool1": 1, "pool2": 1, "popul": 1, "port": [0, 15], "posit": [1, 2, 3, 4, 5, 6, 7], "possibl": [1, 2, 3, 4, 5, 6], "post": [1, 12], "poster": 1, "posterior": 1, "potenti": [4, 14], "power": 1, "powershel": 12, "pp": 1, "ppca": 1, "pre": 1, "precis": [1, 16], "precisions_choleski": 1, "pred_stdev_r": 1, "predic": 1, "predict": [1, 14], "predict_con_tg": 1, "predictarg": 1, "predictor": 1, "prefer": 1, "prefix": [1, 4], "pregel": 1, "prepar": [2, 3, 4, 5, 7, 8, 9], "prepared_script": [2, 3, 4, 5, 7, 8], "preparedscript": 9, "preprocess": [14, 16], "prerequisit": [14, 16], "presenc": 1, "present": 1, "preserv": 1, "prevent": 1, "prevfoff": 1, "prevfoffb": 1, "previou": [1, 14], "previous": 1, "prevlattic": 1, "prevstat": 1, "prevtk": 1, "prevtkc": 1, "primit": [1, 3], "princip": 1, "print": [0, 1, 2, 3, 4, 5, 6, 7, 8, 13, 14, 15], "print_it": 1, "print_onli": 1, "prior": 1, "prob": 16, "probabilist": 1, "probabl": [0, 1, 14, 16], "probit": 1, "problem": 1, "procedur": [0, 1], "proceed": 1, "process": [0, 1, 12, 13, 15], "prod": 4, "product": [1, 4], "profil": 1, "program": [0, 16], "project": [1, 12], "proport": 1, "propos": 1, "protocol": [0, 15], "provid": [1, 3, 11, 13, 14, 15, 16, 17], "proxi": 15, "prune": 1, "pruningstrat": 1, "ps1": 12, "psnr": 1, "ptt": 1, "purpos": [1, 4], "pw": 1, "pw1": 1, "pw2": 1, "pw3": 1, "py": [1, 12], "py4j": [0, 12, 13], "py4j_logging_level": 0, "python": [0, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 15, 17], "python3": 12, "python_venv": 12, "q": [1, 4], "q1": 1, "q3": 1, "qlower": 1, "qn": 1, "qr": [1, 4], "quadrat": 1, "quantil": [1, 4], "quartil": 1, "que": 0, "queue": 0, "quick": 13, "quit": 12, "qupper": 1, "r": [1, 4], "r2": 1, "r2_nobia": 1, "race": 16, "radian": 1, "ragroupbi": 1, "rais": 4, "rajoin": 1, "rakshitha": 1, "rand": [0, 1, 13], "randint": 13, "random": [0, 1, 13], "randomforest": 1, "randomforestpredict": 1, "randomli": 1, "rang": [0, 1, 13, 14], "rank": 1, "raselect": 1, "rate": [1, 16], "ratio": 1, "raw": 1, "rbind": [2, 4], "re": [0, 1, 15], "reach": 1, "reachabl": 1, "read": [0, 1, 2, 3, 7, 13, 16], "readabl": 1, "readi": [12, 14], "readwrit": [0, 7], "real": 4, "realist": 14, "rearrang": 4, "recal": 1, "reciproc": 1, "recod": [1, 16], "recogn": 7, "recommend": [1, 2, 3, 4, 5, 6, 13, 16], "reconstruct": 1, "record": 1, "rectangl": 1, "rectangular": 1, "reduc": [1, 14, 16], "reduced_dim": 1, "reduct": 1, "refer": [0, 1, 7, 15, 16], "reflector": 4, "reg": 1, "reg_covar": 1, "regard": 16, "region": 1, "regress": [1, 14, 16], "regressor": 1, "regtyp": 1, "regular": 1, "reject": 1, "rel": [0, 1], "relat": 1, "relev": 1, "relu": 1, "relu1": 1, "relu2": 1, "relu3": 1, "remain": 1, "remateri": 1, "rememb": [2, 3, 4, 5, 6, 7, 13], "remov": 1, "removed": 1, "removedx": 1, "renew": 15, "repair": 1, "repairmethod": 1, "repetit": 1, "replac": [1, 2, 4, 14], "repositori": [12, 15], "repres": [0, 1, 2, 3, 4, 5, 6, 7, 8, 11], "represent": [1, 2, 4, 5, 10], "request": [1, 4, 12], "requir": [1, 14, 15, 16], "rescal": 1, "research": 1, "resembl": 14, "reserv": 1, "reset": 0, "reshap": 4, "reshuffl": 1, "resid": 1, "residencymatch": 1, "residu": 1, "resist": 1, "resiz": 1, "resourc": 1, "respect": [1, 2, 3, 4, 5, 6, 7, 15], "respons": [1, 14], "rest": 1, "restart": 1, "restor": 1, "result": [1, 2, 3, 4, 5, 6, 7, 8, 9, 13, 14, 15, 16], "resultvari": 9, "ret": 15, "return": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 13, 14, 16], "return_valu": 4, "reus": 0, "rev": 4, "reveal": 1, "revers": 4, "reward": 1, "right": [1, 2, 4], "risk": 1, "rmse": 1, "rnk": 1, "rob": 1, "robust": 1, "roc": 1, "roll": 4, "root": [1, 4, 5, 12], "rotat": 1, "round": 4, "row": [0, 1, 2, 4, 10, 14, 15], "row_nonzero": 1, "rsquar": 1, "rss": 1, "rt": 1, "rule": 1, "run": [0, 1, 10, 12, 13, 15, 16], "runtim": 12, "s1": 1, "s2": 1, "s_col": 1, "s_row": 1, "safe": 4, "sagadeeva": 1, "same": [0, 1, 3, 4, 5, 14, 15, 16], "sampl": [1, 14, 16], "sample_frac": 1, "sample_perc": 1, "sample_s": 14, "satisfi": 1, "satur": 1, "save": [2, 4, 5, 6, 7, 8, 14], "savetxt": 15, "sb": 1, "sb1": 1, "sb2": 1, "sb3": 1, "scalabl": 1, "scalar": [0, 1, 2, 3, 4, 13, 16], "scale": 1, "scaleappli": 1, "scalefactor": 1, "scaleminmax": 1, "scan": 1, "scenario": 1, "schema": [1, 17], "scid": 1, "scienc": 17, "scientist": 13, "scikit": 1, "scope": 12, "score": 1, "screen": 1, "scrimp": 1, "scrimp_icdm_camera_ready_upd": 1, "script": [0, 1, 2, 3, 4, 5, 6, 7, 8, 12, 13, 15, 17], "script_build": [8, 9], "sd": [0, 1, 2, 3, 4, 5, 10, 13, 14, 15, 16], "sds_context": [0, 2, 3, 4, 5, 6, 7], "se": 1, "search": 1, "season": 1, "second": [1, 2, 4, 15, 16], "section": 1, "see": [0, 1, 14], "seed": [0, 1, 13, 16], "seen": [7, 16], "select": [1, 4], "select_featur": 1, "select_k": 1, "selectbyvarthresh": 1, "self": [0, 4], "selfeat": 1, "semant": 1, "sent": 0, "separ": [0, 1, 16], "seq": 0, "sequenc": [0, 2, 4, 5, 6, 7, 8], "seri": 1, "serial": 1, "serv": 17, "server": [12, 15], "set": [0, 1, 2, 3, 4, 5, 6, 7, 12, 13, 14, 15, 16], "setdiff": 1, "setup": [14, 15, 16], "sgd": 1, "shape": [0, 1, 4, 5, 13, 14], "share": [1, 12, 15], "shear": 1, "shear_i": 1, "shear_x": 1, "sherlock": 1, "sherlockpredict": 1, "shift": [1, 4], "short": 14, "shortest": 1, "shortestpath": 1, "should": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 15], "show": [15, 16], "showcas": 16, "shown": 14, "shuffl": 1, "si": 1, "side": [2, 4], "sigkdd": 1, "sigma": 1, "sigmod": 1, "sigmoid": 1, "sign": [4, 5], "signal": 1, "significantli": 1, "sim_se": 1, "similar": [1, 12, 13], "similarli": [1, 16], "simpl": [1, 12, 14, 16], "simpli": [7, 14, 15], "simplic": 14, "simplifi": 13, "simul": [1, 15], "simultan": 15, "sin": [4, 5], "sinc": [0, 1, 3, 13, 14, 15, 16], "singl": [0, 1, 4, 14, 15], "singular": 4, "sinh": [4, 5], "site": [0, 7, 15], "size": [0, 1, 4, 13, 16], "skew": 1, "skip": [4, 14, 16], "sklearn": 1, "slack": 1, "slice": 1, "slicefind": 1, "slicelin": 1, "slicelinedebug": 1, "slicelineextract": 1, "slide": 1, "slope": 1, "slow": 1, "small": [1, 4], "smaller": 14, "smallest": [1, 16], "smape": 1, "sml_type": 1, "smooth": 1, "smote": 1, "sne": 1, "snell": 1, "so": [0, 1, 14], "softmax": 1, "solut": 1, "solv": 1, "solver": 1, "some": [1, 13, 14, 15, 16], "some_comput": 0, "someth": 0, "sometim": 1, "sort": [1, 4], "sourc": [0, 1, 16], "sourcenod": 1, "space": 1, "spark": 17, "spars": 1, "sparsa": 1, "sparsiti": [0, 1, 13], "spca": 1, "spec": 16, "specif": [1, 7, 14, 15, 16], "specifi": [0, 1, 2, 3, 4, 5, 6, 15, 16], "speed": [1, 16], "spheric": 1, "spline": 1, "spline_interpol": 1, "split": 1, "splitbalanc": 1, "sqrt": [1, 4, 5], "sqrtmatrix": 1, "squar": [1, 4, 5], "squash": 1, "src": 12, "ss_avg_r": 1, "st": 1, "stabl": 1, "stablemarriag": 1, "stack": 15, "standard": [0, 1, 4], "start": [0, 1, 13, 14], "start_select": 1, "start_steps": 1, "start_vicin": 1, "stat": 1, "state": 0, "statement": [0, 1], "statist": [0, 1], "statsna": 1, "statu": 16, "stderr": 0, "stdev_res_i": 1, "stdev_tot_i": 1, "stdout": [0, 1, 7], "step": [0, 1, 12], "steplm": 1, "stepsiz": 1, "stepwis": 1, "stop": [0, 1, 13], "store": [1, 7, 8, 16], "str": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 16], "straightforward": 16, "strata": 1, "strategi": 1, "stratifi": 1, "stratstat": 1, "stratum": 1, "strength": 1, "string": [1, 2, 4, 5, 6, 7, 8, 9, 11, 16], "structur": 1, "sub": [0, 1], "subprocess": [0, 13], "subregion": 1, "subsampl": 16, "subsequ": [1, 16], "subset": [1, 14], "subtract": 1, "success": 1, "successfulli": 1, "suffix": 1, "suggest": 12, "sum": [1, 4, 15], "summari": 1, "sumprod": 4, "supervis": 1, "support": [0, 1, 15], "sure": 12, "surv": 1, "surviv": 1, "survivor": 1, "svd": 4, "svetlana": 1, "svm": 1, "sw": 1, "sw1": 1, "sw2": 1, "sw3": 1, "symmetr": [1, 4], "symmetricdiffer": 1, "syntax": 0, "synthet": 1, "system": [1, 12, 17], "systemd": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16], "systemdscontext": [1, 2, 3, 4, 5, 6, 7, 9, 13, 14, 15, 16], "t": [1, 4, 8], "t1": 1, "t2": 1, "t_groups_o": 1, "tabl": 1, "take": [1, 4, 13, 14, 16], "take_stat": 0, "taken": 0, "tan": [4, 5], "tanh": [1, 4, 5], "tarek": 1, "target": [1, 16], "task": [1, 17], "tau": 1, "tcp": 0, "te": 1, "techniqu": [1, 14], "teleport": 1, "tell": 1, "temp": 15, "tensor": [0, 17], "term": 1, "termin": [1, 12, 13, 15], "termination_cod": 1, "test": [1, 14, 15, 16], "test_count": 16, "test_typ": 1, "text": 0, "tfmeta": 1, "tfspec": 1, "th": 1, "than": 1, "thei": [1, 7], "them": [0, 1], "therebi": 7, "therefor": [0, 7, 14], "thi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 12, 13, 14, 15, 16, 17], "third": 1, "those": 1, "thr": 1, "three": [1, 4, 14, 15, 16], "thresh": 1, "threshold": 1, "through": [0, 1, 14], "thrown": 0, "thu": 1, "ti": 1, "till": [2, 3, 4, 5, 6, 7, 8], "time": [0, 1, 7, 14, 15], "timestamp": 1, "tip": 1, "tk": 1, "tkc": 1, "tn": 1, "to_one_hot": 4, "to_str": [2, 4, 5], "todo": [0, 1], "togeth": 1, "tol": 1, "toler": 1, "tolobj": 1, "tolrecerr": 1, "tomek": 1, "tomeklink": 1, "too": 1, "tool": 16, "toonehot": 1, "top": [1, 15], "topmost": 9, "total": 1, "totalx": 1, "tp": 1, "tpblksz": 1, "tpeval": 1, "trace": [2, 3, 4, 5, 6, 7, 8, 9], "trace_back_limit": 0, "train": [1, 15, 17], "train_count": 16, "trainarg": 1, "trans_continu": 1, "transfer": [13, 16], "transform": [1, 4, 13, 16], "transform_appli": 16, "transform_encod": 16, "transformencod": 1, "translat": 1, "transpos": [1, 4], "travers": 1, "treat": 1, "tree": 1, "trial": 1, "triangular": 4, "tril": 4, "tripl": 1, "triu": 4, "true": [0, 1, 4, 7, 16], "trust": 1, "trust_delta": 1, "truth": 1, "try": 0, "tsne": 1, "tt": 1, "ttype": 1, "tupl": [0, 1, 7, 9, 15], "turn": 1, "tutori": [1, 14], "two": [1, 4, 14, 15, 16], "type": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 14], "typic": 1, "u": [1, 4, 13], "ubuntu": 12, "uci": 16, "ucr": 1, "under": 1, "underli": 17, "undersampl": 1, "understand": 16, "undirect": 1, "unequ": 1, "unfortun": 14, "uniform": [0, 1], "union": 1, "uniqu": [0, 1, 4], "unique_nam": 0, "unitari": 4, "univar": 1, "univari": 1, "unknown": 1, "unless": 1, "unlik": 8, "unlimit": 1, "unmodifi": 1, "unnam": [0, 2, 4, 5, 6, 7, 8, 11], "unnamed_input_nod": [2, 3, 4, 5, 6, 7], "unnamed_input_var": [2, 4, 5, 6, 7, 8], "unnamed_paramet": 11, "unord": 1, "unordr": 1, "until": 1, "up": [0, 1, 13, 14, 15, 16], "updat": 1, "upper": [1, 4], "upward": 14, "us": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16], "usag": 16, "useful": 0, "usenix": 1, "user": [0, 1, 17], "userid": 1, "usual": [1, 14], "util": [10, 11], "v": [0, 1, 4, 14], "val": 1, "valid": 1, "validation_split": 1, "valu": [0, 1, 2, 3, 4, 5, 6, 7, 8, 13, 14, 16], "valuabl": 14, "value_typ": 10, "valuetyp": 10, "var": 4, "var_nam": [2, 3, 4, 5, 6, 7, 8, 9], "vari": 1, "variabl": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 15], "varianc": [1, 4], "variant": 1, "varieti": 14, "varsmooth": 1, "vector": [0, 1, 4, 14], "vectortocsv": 1, "venv": 12, "verbos": [0, 1, 2, 3, 4, 5, 6, 7, 8, 13, 14, 16], "verifi": [12, 14], "versa": 1, "versatil": 17, "version": [1, 12, 16], "vertex": 1, "vertic": 1, "via": [1, 12], "vice": 1, "vii": 1, "virtual": [2, 3, 4, 5, 7, 8, 12], "visibl": 1, "visit": 1, "visual": 1, "vm": 12, "volum": 1, "vote": 1, "vpow": 1, "vvi": 1, "vvv": 1, "w": [1, 4, 15], "w1_rand": 1, "w2_rand": 1, "w3_rand": 1, "w4_rand": 1, "wa": [0, 1, 14], "wai": [1, 2, 3, 4, 5, 6, 14], "wald": 1, "walk": 1, "wang": 1, "want": [0, 1, 14, 16], "warn": 0, "wb": 1, "wb1": 1, "wb2": 1, "wb3": 1, "wcss": 1, "we": [1, 12, 13, 14, 15, 16], "web": 1, "webba": 1, "wei": 1, "weight": [1, 4, 16], "well": [1, 2, 3, 4, 5, 6, 7, 14, 16, 17], "weng": 1, "were": 1, "what": [1, 14], "wheel": 12, "when": [0, 1, 13, 14, 15], "whenev": 1, "where": [1, 4, 5, 14, 15], "wherea": 4, "whether": [1, 16], "which": [0, 1, 4, 7, 9, 11, 13, 15, 16], "while": [0, 7], "white": 1, "whole": [1, 4, 16], "whose": [1, 17], "width": 1, "wiki": 1, "wikipedia": 1, "wilcoxon": 1, "win": 1, "window": [1, 12], "window_s": 1, "winsor": 1, "winsorizeappli": 1, "wise": [1, 2, 4, 5, 13], "without": [1, 2, 3, 4, 5, 6, 7, 8], "wl2": 1, "woe": 1, "woeappli": 1, "word": 1, "work": [1, 14, 15, 16, 17], "workclass": 16, "worker": 0, "wors": 1, "would": [0, 1], "write": [0, 1, 7, 15, 16], "written": 7, "wrt": 1, "ww": 1, "ww1": 1, "ww2": 1, "ww3": 1, "www": 1, "x": [1, 4, 14, 16], "x0": 1, "x_d": 14, "x_frame": 16, "x_offset": 1, "x_reduc": 1, "x_test": 1, "x_train": 1, "x_val": 1, "x_y": 1, "xcid": 1, "xdummy1": 1, "xdummy2": 1, "xgboost": 1, "xgboostpredictclassif": 1, "xgboostpredictregress": 1, "xi": 1, "xn": 1, "xo": 1, "xt": [14, 16], "xt_d": 14, "xt_frame": 16, "xtest": 1, "xx": 12, "xxx": 12, "y": [1, 4, 14, 16], "y_d": 14, "y_frame": 16, "y_imp": 1, "y_offset": 1, "y_pred": [14, 16], "y_predict": 1, "y_predict_norm": 1, "y_predict_round": 1, "y_test": 1, "y_train": 1, "y_val": 1, "yan": 1, "yang": 1, "ycid": 1, "ye": 1, "yet": [13, 14, 16], "yhat": 1, "yhat_t": 1, "yi": 1, "yield": 16, "yneg": 1, "you": [1, 7, 12, 13, 14, 15], "your": [0, 12, 15], "yr": 16, "yt": [14, 16], "yt_d": 14, "yt_frame": 16, "ytest": 1, "z": 1, "zero": [0, 1, 4, 5, 13], "zhu": 1}, "titles": ["SystemDSContext", "Algorithms", "Frame", "List", "Matrix", "Scalar", "Source", "Operation Node", "Dag", "Script", "Converters", "Helpers", "Install SystemDS", "QuickStart", "Built-in Algorithms", "Federated Environment", "Python end-to-end tutorial", "SystemDS"], "titleterms": {"1": [14, 16], "2": [14, 16], "3": [14, 16], "4": [14, 16], "5": 16, "aggreg": 15, "algorithm": [1, 14, 16], "built": 14, "complex": 13, "confus": 16, "convert": 10, "dag": 8, "data": 16, "dataset": 14, "end": 16, "environ": 15, "exampl": 15, "feder": 15, "format": 14, "frame": 2, "full": [14, 16], "get": 14, "helper": 11, "instal": 12, "learn": 15, "level": 16, "limit": 15, "list": 3, "load": 16, "matrix": [4, 13, 16], "model": 16, "more": 13, "multi": 15, "multipl": 15, "network": 16, "neural": 16, "nn": 16, "node": 7, "obtain": 16, "oper": [7, 13], "pip": 12, "predict": 16, "prepar": 16, "python": 16, "quickstart": 13, "reshap": 14, "save": 16, "scalar": 5, "script": [9, 14, 16], "simpl": 15, "sourc": [6, 12], "start": 15, "step": [14, 16], "systemd": [12, 17], "systemdscontext": 0, "tenant": 15, "train": [14, 16], "tune": 14, "tutori": 16, "unseen": 16, "valid": 14, "worker": 15}})