Index

B

BinaryClassificationModel (class in pyfora.algorithms.regressionTrees.BinaryClassificationModel) BinaryLogisticRegressionFitter (class in pyfora.algorithms)

BinaryLogisticRegressionModel (class in pyfora.algorithms.logistic.BinaryLogisticRegressionModel) buildTree() (pyfora.algorithms.regressionTrees.RegressionTree.RegressionTreeBuilder static method)

C

cancel() (pyfora.Future.Future method) close() (pyfora.Executor.Executor method) coefficients (pyfora.RemotePythonObject.BinaryLogisticRegressionModel attribute) ComputationError

ComputedRemotePythonObject (class in pyfora.RemotePythonObject) connect() (in module pyfora) ConnectionError

D

define() (pyfora.Executor.Executor method) DefinedRemotePythonObject (class in pyfora.RemotePythonObject) deviance() (pyfora.algorithms.regressionTrees.BinaryClassificationModel.BinaryClassificationModel method)

downloadAll() (pyfora.WithBlockExecutor.WithBlockExecutor method) downloadSmall() (pyfora.WithBlockExecutor.WithBlockExecutor method)

E

environment variable UFORA_MANAGER_ADDRESS, [1] UFORA_NO_WORKER UFORA_WEB_HTTP_PORT, [1] UFORA_WORKER_BASE_PORT, [1] UFORA_WORKER_OWN_ADDRESS Executor (class in pyfora.Executor)

exportS3Dataset() (pyfora.Executor.Executor method)

F

fit() (pyfora.algorithms.BinaryLogisticRegressionFitter method) (pyfora.algorithms.regressionTrees.GradientBoostedClassifierBuilder.GradientBoostedClassifierBuilder method) (pyfora.algorithms.regressionTrees.GradientBoostedRegressorBuilder.GradientBoostedRegressorBuilder method) (pyfora.algorithms.regressionTrees.RegressionTree.RegressionTreeBuilder method) ForaToPythonConversionError

Future (class in pyfora.Future)

G

getWorkerCount() (pyfora.Executor.Executor method) GradientBoostedClassifierBuilder (class in pyfora.algorithms.regressionTrees.GradientBoostedClassifierBuilder)

GradientBoostedRegressorBuilder (class in pyfora.algorithms.regressionTrees.GradientBoostedRegressorBuilder)

I

importRemoteFile() (pyfora.Executor.Executor method) importS3Dataset() (pyfora.Executor.Executor method) intercept (pyfora.RemotePythonObject.BinaryLogisticRegressionModel attribute) InvalidPyforaOperation

isClosed() (pyfora.Executor.Executor method) IterativeFitter (class in pyfora.algorithms.regressionTrees.GradientBoostedClassifierBuilder) (class in pyfora.algorithms.regressionTrees.GradientBoostedRegressorBuilder) iterativeFitter() (pyfora.algorithms.regressionTrees.GradientBoostedClassifierBuilder.GradientBoostedClassifierBuilder method) (pyfora.algorithms.regressionTrees.GradientBoostedRegressorBuilder.GradientBoostedRegressorBuilder method)

L

linearRegression() (in module pyfora.algorithms)

M

model (pyfora.RemotePythonObject.IterativeFitter attribute), [1]

N

next() (pyfora.algorithms.regressionTrees.GradientBoostedClassifierBuilder.IterativeFitter method) (pyfora.algorithms.regressionTrees.GradientBoostedRegressorBuilder.IterativeFitter method)

NotCallableError

P

predict() (pyfora.algorithms.logistic.BinaryLogisticRegressionModel.BinaryLogisticRegressionModel method) (pyfora.algorithms.regressionTrees.BinaryClassificationModel.BinaryClassificationModel method) (pyfora.algorithms.regressionTrees.RegressionModel.RegressionModel method) (pyfora.algorithms.regressionTrees.RegressionTree.RegressionTree method) predict_probability() (pyfora.algorithms.logistic.BinaryLogisticRegressionModel.BinaryLogisticRegressionModel method) predictions (pyfora.RemotePythonObject.IterativeFitter attribute), [1] predictProbability() (pyfora.algorithms.regressionTrees.BinaryClassificationModel.BinaryClassificationModel method) pyfora (module)

pyfora.RemotePythonObject (module) PyforaError PyforaNotImplementedError PythonToForaConversionError

R

read_csv_from_string() (in module pyfora.pandas_util) RegressionModel (class in pyfora.algorithms.regressionTrees.RegressionModel) RegressionTree (class in pyfora.algorithms.regressionTrees.RegressionTree) RegressionTreeBuilder (class in pyfora.algorithms.regressionTrees.RegressionTree)

remoteAll() (pyfora.WithBlockExecutor.WithBlockExecutor method) remotely (pyfora.Executor.Executor attribute) RemotePythonObject (class in pyfora.RemotePythonObject) ResultExceededBytecountThreshold

S

score() (pyfora.algorithms.logistic.BinaryLogisticRegressionModel.BinaryLogisticRegressionModel method) (pyfora.algorithms.regressionTrees.BinaryClassificationModel.BinaryClassificationModel method) (pyfora.algorithms.regressionTrees.RegressionModel.RegressionModel method) (pyfora.algorithms.regressionTrees.RegressionTree.RegressionTree method)

submit() (pyfora.Executor.Executor method)

T

toLocal() (pyfora.RemotePythonObject.RemotePythonObject method)

U

UFORA_MANAGER_ADDRESS, [1] UFORA_NO_WORKER UFORA_WEB_HTTP_PORT, [1]

UFORA_WORKER_BASE_PORT, [1] UFORA_WORKER_OWN_ADDRESS

W

WithBlockExecutor (class in pyfora.WithBlockExecutor)

withStatusCallback() (pyfora.WithBlockExecutor.WithBlockExecutor method)