ML Model Deployment
2.0.0
Contents
Flask template for Machine Learning model deployment
Code Documentation
ML Model Deployment
Docs
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Index
Index
B
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E
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F
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H
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I
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L
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M
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P
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R
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S
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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)