src.Projections.Python.Projector.PCA.PCAProjector module

class src.Projections.Python.Projector.PCA.PCAProjector.PCA_Projector

Bases: src.Projections.Python.Projector.Projector.Projector

PCA projector from sklearn

Parameters

Projector (Projector) – General interface for projectors

clearVariables()

Clear all variables

getModel(request, context)

Return the model to gRPC message

Parameters

  • request (gRPC) – standard gRPC (contains the messages)

  • context (gRPC) – standard gRPC

Returns

Return the byte model

Return type

model

getPrecision()

Return the precision (Which sklearn PCA provides)

Returns

[description]

Return type

[type]

getProgress(request, context)

Implementation for the getProgress gRPC requset

Parameters

  • request (gRPC) – standard gRPC (contains the messages)

  • context (gRPC) – standard gRPC

Returns

contains the integer of current progress

Return type

grPC progressKNN

partialFit(buff)

Partial fit the buffer

Parameters

buff ([hdvector]]) – The list of the vectors

startProjectorService(request, context)

Set up the service

Parameters

  • request (gRPC) – standard gRPC (contains the messages)

  • context (gRPC) – standard gRPC

Returns

gRPC void

stopProjectorService(request, context)

Stop the current service

Parameters

  • request (gRPC) – standard gRPC (contains the messages)

  • context (gRPC) – standard gRPC

Returns

grPC void

trainPCA()

Starts training the projector

updatePercentage()

Recalculate the current percentage

src.Projections.Python.Projector.PCA.PCAProjector.printMessage(message)

Print the coloured message so that we can see in the output which microservice printed it

Parameters

message (string) – The actual message

src.Projections.Python.Projector.PCA.PCAProjector.serveServer()

Setup the GRPC server