ML Model Deployment
2.0.0

Contents

  • Flask template for Machine Learning model deployment
  • Code Documentation
ML Model Deployment
  • Docs »
  • Index

Index

B | E | F | H | I | L | M | P | R | S | T

B

  • BaseModel (class in python.model.base)

E

  • explain() (python.model.base.BaseModel method)
    • (python.model.sklearn.SklearnModel method)

F

  • family (python.model.base.BaseModel attribute)
    • (python.model.sklearn.SklearnModel attribute)
  • features() (in module service)
    • (python.model.base.BaseModel method)

H

  • health_check() (in module service)

I

  • info() (in module service)
    • (python.model.base.BaseModel property)
  • is_ready() (python.model.base.BaseModel method)

L

  • load() (python.model.base.BaseModel method)

M

  • metadata() (python.model.base.BaseModel property)

P

  • predict() (in module service)
    • (python.model.base.BaseModel method)
    • (python.model.sklearn.SklearnModel method)
  • predict_proba() (python.model.base.BaseModel method)
    • (python.model.sklearn.SklearnModel method)
  • preprocess() (in module service)
    • (python.model.base.BaseModel method)
    • (python.model.sklearn.SklearnModel method)
  • python.model.base (module)
  • python.model.sklearn (module)

R

  • readiness_check() (in module service)

S

  • service (module)
  • service_info() (in module service)
  • SklearnModel (class in python.model.sklearn)

T

  • task_type() (python.model.base.BaseModel method)

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