Index

A

add_workers() (pyfora.aws.Cluster method)

B

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

body (pyfora.aws.ClusterEvent attribute) buildTree() (pyfora.algorithms.regressionTrees.RegressionTree.RegressionTreeBuilder static method)

C

cancel() (pyfora.Future.Future method) close() (pyfora.Executor.Executor method) Cluster (class in pyfora.aws) ClusterEvent (class in pyfora.aws.Cluster) 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)

Done (pyfora.aws.EventTypes attribute) 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 event_type (pyfora.aws.ClusterEvent attribute) EventTypes (class in pyfora.aws.Cluster)

Executor (class in pyfora.Executor) exportS3Dataset() (pyfora.Executor.Executor method)

F

Failed (pyfora.aws.EventTypes attribute) 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) Instances (class in pyfora.aws.Cluster) InstanceStatus (pyfora.aws.EventTypes attribute) 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

launch() (pyfora.aws.Cluster method) Launched (pyfora.aws.EventTypes attribute) LaunchFailed (pyfora.aws.EventTypes attribute)

Launching (pyfora.aws.EventTypes attribute) linearRegression() (in module pyfora.algorithms) list_instances() (pyfora.aws.Cluster method)

M

manager (pyfora.aws.Instances attribute)

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.aws (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) stop() (pyfora.aws.Cluster 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 unfulfilled (pyfora.aws.Instances attribute)

W

WaitingForServices (pyfora.aws.EventTypes attribute) WithBlockExecutor (class in pyfora.WithBlockExecutor)

withStatusCallback() (pyfora.WithBlockExecutor.WithBlockExecutor method) workers (pyfora.aws.Instances attribute)