Seldon External Ambassador API API
The External Ambassador API API from Seldon — 2 operation(s) for external ambassador api.
The External Ambassador API API from Seldon — 2 operation(s) for external ambassador api.
openapi: 3.0.0
info:
description: 'API to interact and manage the lifecycle of your machine learning models
deployed through Seldon Deploy.'
title: Seldon Deploy AlertingService External Ambassador API API
version: v1alpha1
servers:
- url: http://X.X.X.X/seldon-deploy/api/v1alpha1
- url: https://X.X.X.X/seldon-deploy/api/v1alpha1
security:
- OAuth2:
- '[]'
tags:
- name: External Ambassador API
paths:
/seldon/{namespace}/{deployment}/api/v1.0/predictions:
post:
security:
- HTTPBearer: []
operationId: Predict
responses:
'200':
description: A successful response.
content:
application/json:
schema:
$ref: '#/components/schemas/SeldonMessage'
parameters:
- name: namespace
in: path
required: true
schema:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
- name: deployment
in: path
required: true
schema:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
tags:
- External Ambassador API
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/SeldonMessage'
example:
data:
names:
- feature1
tensor:
shape:
- 1
- 1
values:
- 1
text/*:
schema:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
application/octet-stream:
schema:
type: string
format: binary
pattern: ^.{1,2097152}
maxLength: 2097152
required: true
/seldon/{namespace}/{deployment}/api/v1.0/feedback:
post:
security:
- HTTPBearer: []
operationId: SendFeedback
responses:
'200':
description: A successful response.
content:
application/json:
schema:
$ref: '#/components/schemas/SeldonMessage'
parameters:
- name: namespace
in: path
required: true
schema:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
- name: deployment
in: path
required: true
schema:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
tags:
- External Ambassador API
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/Feedback'
required: true
components:
schemas:
TensorflowDataType:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
enum:
- DT_INVALID
- DT_FLOAT
- DT_DOUBLE
- DT_INT32
- DT_UINT8
- DT_INT16
- DT_INT8
- DT_STRING
- DT_COMPLEX64
- DT_INT64
- DT_BOOL
- DT_QINT8
- DT_QUINT8
- DT_QINT32
- DT_BFLOAT16
- DT_QINT16
- DT_QUINT16
- DT_UINT16
- DT_COMPLEX128
- DT_HALF
- DT_RESOURCE
- DT_VARIANT
- DT_UINT32
- DT_UINT64
- DT_FLOAT_REF
- DT_DOUBLE_REF
- DT_INT32_REF
- DT_UINT8_REF
- DT_INT16_REF
- DT_INT8_REF
- DT_STRING_REF
- DT_COMPLEX64_REF
- DT_INT64_REF
- DT_BOOL_REF
- DT_QINT8_REF
- DT_QUINT8_REF
- DT_QINT32_REF
- DT_BFLOAT16_REF
- DT_QINT16_REF
- DT_QUINT16_REF
- DT_UINT16_REF
- DT_COMPLEX128_REF
- DT_HALF_REF
- DT_RESOURCE_REF
- DT_VARIANT_REF
- DT_UINT32_REF
- DT_UINT64_REF
default: DT_INVALID
description: '- DT_INVALID: Not a legal value for DataType. Used to indicate a DataType field has not been set. - DT_FLOAT: Data types that all computation devices are expected to be capable to support. - DT_FLOAT_REF: Do not use! These are only for parameters. Every enum above should have a corresponding value below (verified by types_test).'
title: LINT.IfChange
Feedback:
type: object
additionalProperties: false
properties:
request:
$ref: '#/components/schemas/SeldonMessage'
response:
$ref: '#/components/schemas/SeldonMessage'
reward:
type: number
format: float
truth:
$ref: '#/components/schemas/SeldonMessage'
StatusStatusFlag:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
enum:
- SUCCESS
- FAILURE
default: SUCCESS
DefaultData:
type: object
additionalProperties: false
properties:
names:
type: array
maxItems: 2097152
items:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
tensor:
$ref: '#/components/schemas/Tensor'
ndarray:
type: array
maxItems: 2097152
items:
$ref: '#/components/schemas/AnyValue'
tftensor:
$ref: '#/components/schemas/TensorflowTensorProto'
TensorShapeProtoDim:
type: object
additionalProperties: false
properties:
size:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
format: int64
description: Size of the tensor in that dimension. This value must be >= -1, but values of -1 are reserved for "unknown" shapes (values of -1 mean "unknown" dimension). Certain wrappers that work with TensorShapeProto may fail at runtime when deserializing a TensorShapeProto containing a dim value of -1.
name:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
description: Optional name of the tensor dimension.
description: One dimension of the tensor.
TensorflowVariantTensorDataProto:
type: object
additionalProperties: false
properties:
type_name:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
description: Name of the type of objects being serialized.
metadata:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
format: byte
description: Portions of the object that are not Tensors.
tensors:
type: array
maxItems: 2097152
items:
$ref: '#/components/schemas/TensorflowTensorProto'
description: Tensors contained within objects being serialized.
description: Protocol buffer representing the serialization format of DT_VARIANT tensors.
Meta:
type: object
additionalProperties: false
properties:
puid:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
tags:
type: object
additionalProperties:
$ref: '#/components/schemas/AnyValue'
example:
mytag: myvalue
routing:
type: object
additionalProperties:
type: integer
format: int32
example:
router1: 1
requestPath:
type: object
additionalProperties:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
example:
classifier: seldonio/mock_classifier:1.0
metrics:
type: array
maxItems: 2097152
items:
$ref: '#/components/schemas/Metric'
TensorflowTensorProto:
type: object
additionalProperties: false
properties:
dtype:
$ref: '#/components/schemas/TensorflowDataType'
tensor_shape:
$ref: '#/components/schemas/TensorflowTensorShapeProto'
description: 'Shape of the tensor. TODO(touts): sort out the 0-rank issues.'
version_number:
type: integer
format: int32
description: 'Version number.
In version 0, if the "repeated xxx" representations contain only one element, that element is repeated to fill the shape. This makes it easy to represent a constant Tensor with a single value.'
tensor_content:
type: string
pattern: '.* maxLength: 2097152'
format: byte
description: Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation can be used for all tensor types. The purpose of this representation is to reduce serialization overhead during RPC call by avoiding serialization of many repeated small items.
half_val:
type: array
maxItems: 2097152
items:
type: integer
format: int32
description: DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll have some pointless zero padding for each value here.
float_val:
type: array
maxItems: 2097152
items:
type: number
format: float
description: DT_FLOAT.
double_val:
type: array
maxItems: 2097152
items:
type: number
format: double
description: DT_DOUBLE.
int_val:
type: array
maxItems: 2097152
items:
type: integer
format: int32
description: DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
string_val:
type: array
maxItems: 2097152
items:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
format: byte
title: DT_STRING
scomplex_val:
type: array
maxItems: 2097152
items:
type: number
format: float
description: DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real and imaginary parts of i-th single precision complex.
int64_val:
type: array
maxItems: 2097152
items:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
format: int64
title: DT_INT64
bool_val:
type: array
maxItems: 2097152
items:
type: boolean
format: boolean
title: DT_BOOL
dcomplex_val:
type: array
maxItems: 2097152
items:
type: number
format: double
description: DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
resource_handle_val:
type: array
maxItems: 2097152
items:
$ref: '#/components/schemas/TensorflowResourceHandleProto'
title: DT_RESOURCE
variant_val:
type: array
maxItems: 2097152
items:
$ref: '#/components/schemas/TensorflowVariantTensorDataProto'
title: DT_VARIANT
uint32_val:
type: array
maxItems: 2097152
items:
type: integer
format: int64
title: DT_UINT32
uint64_val:
type: array
maxItems: 2097152
items:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
format: uint64
title: DT_UINT64
description: Protocol buffer representing a tensor.
TensorflowResourceHandleProto:
type: object
additionalProperties: false
properties:
device:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
description: Unique name for the device containing the resource.
container:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
description: Container in which this resource is placed.
name:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
description: Unique name of this resource.
hash_code:
type: string
format: uint64
pattern: ^.{1,2097152}
maxLength: 2097152
description: Hash code for the type of the resource. Is only valid in the same device and in the same execution.
maybe_type_name:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
description: For debug-only, the name of the type pointed to by this handle, if available.
description: Protocol buffer representing a handle to a tensorflow resource. Handles are not valid across executions, but can be serialized back and forth from within a single run.
AnyValue:
description: 'Can be anything: string, number, array, object, etc.'
Tensor:
type: object
additionalProperties: false
properties:
shape:
type: array
maxItems: 2097152
items:
type: integer
format: int32
values:
type: array
maxItems: 2097152
items:
type: number
format: double
MetricType:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
enum:
- COUNTER
- GAUGE
- TIMER
default: COUNTER
Metric:
type: object
additionalProperties: false
properties:
type:
$ref: '#/components/schemas/MetricType'
key:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
value:
type: number
format: float
Status:
type: object
additionalProperties: false
properties:
code:
type: integer
format: int32
info:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
reason:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
status:
$ref: '#/components/schemas/StatusStatusFlag'
SeldonMessage:
type: object
additionalProperties: false
properties:
status:
$ref: '#/components/schemas/Status'
meta:
$ref: '#/components/schemas/Meta'
data:
$ref: '#/components/schemas/DefaultData'
binData:
type: string
format: byte
pattern: ^.{1,2097152}
maxLength: 2097152
strData:
type: string
pattern: ^.{1,2097152}
maxLength: 2097152
TensorflowTensorShapeProto:
type: object
additionalProperties: false
properties:
dim:
type: array
maxItems: 2097152
items:
$ref: '#/components/schemas/TensorShapeProtoDim'
description: 'Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. If an entry has size -1, this corresponds to a dimension of unknown size. The names are optional.
The order of entries in "dim" matters: It indicates the layout of the values in the tensor in-memory representation.
The first entry in "dim" is the outermost dimension used to layout the values, the last entry is the innermost dimension. This matches the in-memory layout of RowMajor Eigen tensors.
If "dim.size()" > 0, "unknown_rank" must be false.'
unknown_rank:
type: boolean
format: boolean
description: 'If true, the number of dimensions in the shape is unknown.
If true, "dim.size()" must be 0.'
description: Dimensions of a tensor.
securitySchemes:
OAuth2:
type: oauth2
flows:
password:
tokenUrl: https://Y.Y.Y.Y
scopes:
email: ''
groups: ''
openid: ''
profile: ''