synapse.ml.services.face package

Submodules

synapse.ml.services.face.DetectFace module

class synapse.ml.services.face.DetectFace.DetectFace(java_obj=None, AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, errorCol='DetectFace_9135a7c69d23_error', handler=None, imageUrl=None, imageUrlCol=None, outputCol='DetectFace_9135a7c69d23_output', returnFaceAttributes=None, returnFaceAttributesCol=None, returnFaceId=None, returnFaceIdCol=None, returnFaceLandmarks=None, returnFaceLandmarksCol=None, subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Bases: pyspark.ml.util.MLReadable[pyspark.ml.util.RL]

Parameters
  • AADToken (object) – AAD Token used for authentication

  • CustomAuthHeader (object) – A Custom Value for Authorization Header

  • concurrency (int) – max number of concurrent calls

  • concurrentTimeout (float) – max number seconds to wait on futures if concurrency >= 1

  • errorCol (str) – column to hold http errors

  • handler (object) – Which strategy to use when handling requests

  • imageUrl (object) – the url of the image to use

  • outputCol (str) – The name of the output column

  • returnFaceAttributes (object) – Analyze and return the one or more specified face attributes Supported face attributes include: age, gender, headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur, exposure and noise. Face attribute analysis has additional computational and time cost.

  • returnFaceId (object) – Return faceIds of the detected faces or not. The default value is true

  • returnFaceLandmarks (object) – Return face landmarks of the detected faces or not. The default value is false.

  • subscriptionKey (object) – the API key to use

  • timeout (float) – number of seconds to wait before closing the connection

  • url (str) – Url of the service

AADToken = Param(parent='undefined', name='AADToken', doc='ServiceParam: AAD Token used for authentication')
CustomAuthHeader = Param(parent='undefined', name='CustomAuthHeader', doc='ServiceParam: A Custom Value for Authorization Header')
concurrency = Param(parent='undefined', name='concurrency', doc='max number of concurrent calls')
concurrentTimeout = Param(parent='undefined', name='concurrentTimeout', doc='max number seconds to wait on futures if concurrency >= 1')
errorCol = Param(parent='undefined', name='errorCol', doc='column to hold http errors')
getAADToken()[source]
Returns

AAD Token used for authentication

Return type

AADToken

getConcurrency()[source]
Returns

max number of concurrent calls

Return type

concurrency

getConcurrentTimeout()[source]
Returns

max number seconds to wait on futures if concurrency >= 1

Return type

concurrentTimeout

getCustomAuthHeader()[source]
Returns

A Custom Value for Authorization Header

Return type

CustomAuthHeader

getErrorCol()[source]
Returns

column to hold http errors

Return type

errorCol

getHandler()[source]
Returns

Which strategy to use when handling requests

Return type

handler

getImageUrl()[source]
Returns

the url of the image to use

Return type

imageUrl

static getJavaPackage()[source]

Returns package name String.

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getReturnFaceAttributes()[source]
Returns

Analyze and return the one or more specified face attributes Supported face attributes include: age, gender, headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur, exposure and noise. Face attribute analysis has additional computational and time cost.

Return type

returnFaceAttributes

getReturnFaceId()[source]
Returns

Return faceIds of the detected faces or not. The default value is true

Return type

returnFaceId

getReturnFaceLandmarks()[source]
Returns

Return face landmarks of the detected faces or not. The default value is false.

Return type

returnFaceLandmarks

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getTimeout()[source]
Returns

number of seconds to wait before closing the connection

Return type

timeout

getUrl()[source]
Returns

Url of the service

Return type

url

handler = Param(parent='undefined', name='handler', doc='Which strategy to use when handling requests')
imageUrl = Param(parent='undefined', name='imageUrl', doc='ServiceParam: the url of the image to use')
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
classmethod read()[source]

Returns an MLReader instance for this class.

returnFaceAttributes = Param(parent='undefined', name='returnFaceAttributes', doc='ServiceParam: Analyze and return the one or more specified face attributes Supported face attributes include: age, gender, headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur, exposure and noise. Face attribute analysis has additional computational and time cost.')
returnFaceId = Param(parent='undefined', name='returnFaceId', doc='ServiceParam: Return faceIds of the detected faces or not. The default value is true')
returnFaceLandmarks = Param(parent='undefined', name='returnFaceLandmarks', doc='ServiceParam: Return face landmarks of the detected faces or not. The default value is false.')
setAADToken(value)[source]
Parameters

AADToken – AAD Token used for authentication

setAADTokenCol(value)[source]
Parameters

AADToken – AAD Token used for authentication

setConcurrency(value)[source]
Parameters

concurrency – max number of concurrent calls

setConcurrentTimeout(value)[source]
Parameters

concurrentTimeout – max number seconds to wait on futures if concurrency >= 1

setCustomAuthHeader(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomAuthHeaderCol(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomServiceName(value)[source]
setDefaultInternalEndpoint(value)[source]
setEndpoint(value)[source]
setErrorCol(value)[source]
Parameters

errorCol – column to hold http errors

setHandler(value)[source]
Parameters

handler – Which strategy to use when handling requests

setImageUrl(value)[source]
Parameters

imageUrl – the url of the image to use

setImageUrlCol(value)[source]
Parameters

imageUrl – the url of the image to use

setLinkedService(value)[source]
setLocation(value)[source]
setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, errorCol='DetectFace_9135a7c69d23_error', handler=None, imageUrl=None, imageUrlCol=None, outputCol='DetectFace_9135a7c69d23_output', returnFaceAttributes=None, returnFaceAttributesCol=None, returnFaceId=None, returnFaceIdCol=None, returnFaceLandmarks=None, returnFaceLandmarksCol=None, subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Set the (keyword only) parameters

setReturnFaceAttributes(value)[source]
Parameters

returnFaceAttributes – Analyze and return the one or more specified face attributes Supported face attributes include: age, gender, headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur, exposure and noise. Face attribute analysis has additional computational and time cost.

setReturnFaceAttributesCol(value)[source]
Parameters

returnFaceAttributes – Analyze and return the one or more specified face attributes Supported face attributes include: age, gender, headPose, smile, facialHair, glasses, emotion, hair, makeup, occlusion, accessories, blur, exposure and noise. Face attribute analysis has additional computational and time cost.

setReturnFaceId(value)[source]
Parameters

returnFaceId – Return faceIds of the detected faces or not. The default value is true

setReturnFaceIdCol(value)[source]
Parameters

returnFaceId – Return faceIds of the detected faces or not. The default value is true

setReturnFaceLandmarks(value)[source]
Parameters

returnFaceLandmarks – Return face landmarks of the detected faces or not. The default value is false.

setReturnFaceLandmarksCol(value)[source]
Parameters

returnFaceLandmarks – Return face landmarks of the detected faces or not. The default value is false.

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setTimeout(value)[source]
Parameters

timeout – number of seconds to wait before closing the connection

setUrl(value)[source]
Parameters

url – Url of the service

subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
timeout = Param(parent='undefined', name='timeout', doc='number of seconds to wait before closing the connection')
url = Param(parent='undefined', name='url', doc='Url of the service')

synapse.ml.services.face.FindSimilarFace module

class synapse.ml.services.face.FindSimilarFace.FindSimilarFace(java_obj=None, AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, errorCol='FindSimilarFace_ecd2f4f89d80_error', faceId=None, faceIdCol=None, faceIds=None, faceIdsCol=None, faceListId=None, faceListIdCol=None, handler=None, largeFaceListId=None, largeFaceListIdCol=None, maxNumOfCandidatesReturned=None, maxNumOfCandidatesReturnedCol=None, mode=None, modeCol=None, outputCol='FindSimilarFace_ecd2f4f89d80_output', subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Bases: pyspark.ml.util.MLReadable[pyspark.ml.util.RL]

Parameters
  • AADToken (object) – AAD Token used for authentication

  • CustomAuthHeader (object) – A Custom Value for Authorization Header

  • concurrency (int) – max number of concurrent calls

  • concurrentTimeout (float) – max number seconds to wait on futures if concurrency >= 1

  • errorCol (str) – column to hold http errors

  • faceId (object) – faceId of the query face. User needs to call FaceDetect first to get a valid faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call.

  • faceIds (object) – An array of candidate faceIds. All of them are created by FaceDetect and the faceIds will expire 24 hours after the detection call. The number of faceIds is limited to 1000. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

  • faceListId (object) – An existing user-specified unique candidate face list, created in FaceList - Create. Face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

  • handler (object) – Which strategy to use when handling requests

  • largeFaceListId (object) – An existing user-specified unique candidate large face list, created in LargeFaceList - Create. Large face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

  • maxNumOfCandidatesReturned (object) – Optional parameter. The number of top similar faces returned. The valid range is [1, 1000].It defaults to 20.

  • mode (object) – Optional parameter. Similar face searching mode. It can be ‘matchPerson’ or ‘matchFace’. It defaults to ‘matchPerson’.

  • outputCol (str) – The name of the output column

  • subscriptionKey (object) – the API key to use

  • timeout (float) – number of seconds to wait before closing the connection

  • url (str) – Url of the service

AADToken = Param(parent='undefined', name='AADToken', doc='ServiceParam: AAD Token used for authentication')
CustomAuthHeader = Param(parent='undefined', name='CustomAuthHeader', doc='ServiceParam: A Custom Value for Authorization Header')
concurrency = Param(parent='undefined', name='concurrency', doc='max number of concurrent calls')
concurrentTimeout = Param(parent='undefined', name='concurrentTimeout', doc='max number seconds to wait on futures if concurrency >= 1')
errorCol = Param(parent='undefined', name='errorCol', doc='column to hold http errors')
faceId = Param(parent='undefined', name='faceId', doc='ServiceParam: faceId of the query face. User needs to call FaceDetect first to get a valid faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call.')
faceIds = Param(parent='undefined', name='faceIds', doc='ServiceParam:  An array of candidate faceIds. All of them are created by FaceDetect and the faceIds will expire 24 hours after the detection call. The number of faceIds is limited to 1000. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.')
faceListId = Param(parent='undefined', name='faceListId', doc='ServiceParam:  An existing user-specified unique candidate face list, created in FaceList - Create. Face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.')
getAADToken()[source]
Returns

AAD Token used for authentication

Return type

AADToken

getConcurrency()[source]
Returns

max number of concurrent calls

Return type

concurrency

getConcurrentTimeout()[source]
Returns

max number seconds to wait on futures if concurrency >= 1

Return type

concurrentTimeout

getCustomAuthHeader()[source]
Returns

A Custom Value for Authorization Header

Return type

CustomAuthHeader

getErrorCol()[source]
Returns

column to hold http errors

Return type

errorCol

getFaceId()[source]
Returns

faceId of the query face. User needs to call FaceDetect first to get a valid faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call.

Return type

faceId

getFaceIds()[source]
Returns

An array of candidate faceIds. All of them are created by FaceDetect and the faceIds will expire 24 hours after the detection call. The number of faceIds is limited to 1000. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

Return type

faceIds

getFaceListId()[source]
Returns

An existing user-specified unique candidate face list, created in FaceList - Create. Face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

Return type

faceListId

getHandler()[source]
Returns

Which strategy to use when handling requests

Return type

handler

static getJavaPackage()[source]

Returns package name String.

getLargeFaceListId()[source]
Returns

An existing user-specified unique candidate large face list, created in LargeFaceList - Create. Large face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

Return type

largeFaceListId

getMaxNumOfCandidatesReturned()[source]
Returns

Optional parameter. The number of top similar faces returned. The valid range is [1, 1000].It defaults to 20.

Return type

maxNumOfCandidatesReturned

getMode()[source]
Returns

Optional parameter. Similar face searching mode. It can be ‘matchPerson’ or ‘matchFace’. It defaults to ‘matchPerson’.

Return type

mode

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getTimeout()[source]
Returns

number of seconds to wait before closing the connection

Return type

timeout

getUrl()[source]
Returns

Url of the service

Return type

url

handler = Param(parent='undefined', name='handler', doc='Which strategy to use when handling requests')
largeFaceListId = Param(parent='undefined', name='largeFaceListId', doc='ServiceParam:  An existing user-specified unique candidate large face list, created in LargeFaceList - Create. Large face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.')
maxNumOfCandidatesReturned = Param(parent='undefined', name='maxNumOfCandidatesReturned', doc='ServiceParam:  Optional parameter. The number of top similar faces returned. The valid range is [1, 1000].It defaults to 20.')
mode = Param(parent='undefined', name='mode', doc="ServiceParam:  Optional parameter. Similar face searching mode. It can be 'matchPerson' or 'matchFace'. It defaults to 'matchPerson'.")
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
classmethod read()[source]

Returns an MLReader instance for this class.

setAADToken(value)[source]
Parameters

AADToken – AAD Token used for authentication

setAADTokenCol(value)[source]
Parameters

AADToken – AAD Token used for authentication

setConcurrency(value)[source]
Parameters

concurrency – max number of concurrent calls

setConcurrentTimeout(value)[source]
Parameters

concurrentTimeout – max number seconds to wait on futures if concurrency >= 1

setCustomAuthHeader(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomAuthHeaderCol(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomServiceName(value)[source]
setDefaultInternalEndpoint(value)[source]
setEndpoint(value)[source]
setErrorCol(value)[source]
Parameters

errorCol – column to hold http errors

setFaceId(value)[source]
Parameters

faceId – faceId of the query face. User needs to call FaceDetect first to get a valid faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call.

setFaceIdCol(value)[source]
Parameters

faceId – faceId of the query face. User needs to call FaceDetect first to get a valid faceId. Note that this faceId is not persisted and will expire 24 hours after the detection call.

setFaceIds(value)[source]
Parameters

faceIds – An array of candidate faceIds. All of them are created by FaceDetect and the faceIds will expire 24 hours after the detection call. The number of faceIds is limited to 1000. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

setFaceIdsCol(value)[source]
Parameters

faceIds – An array of candidate faceIds. All of them are created by FaceDetect and the faceIds will expire 24 hours after the detection call. The number of faceIds is limited to 1000. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

setFaceListId(value)[source]
Parameters

faceListId – An existing user-specified unique candidate face list, created in FaceList - Create. Face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

setFaceListIdCol(value)[source]
Parameters

faceListId – An existing user-specified unique candidate face list, created in FaceList - Create. Face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

setHandler(value)[source]
Parameters

handler – Which strategy to use when handling requests

setLargeFaceListId(value)[source]
Parameters

largeFaceListId – An existing user-specified unique candidate large face list, created in LargeFaceList - Create. Large face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

setLargeFaceListIdCol(value)[source]
Parameters

largeFaceListId – An existing user-specified unique candidate large face list, created in LargeFaceList - Create. Large face list contains a set of persistedFaceIds which are persisted and will never expire. Parameter faceListId, largeFaceListId and faceIds should not be provided at the same time.

setLinkedService(value)[source]
setLocation(value)[source]
setMaxNumOfCandidatesReturned(value)[source]
Parameters

maxNumOfCandidatesReturned – Optional parameter. The number of top similar faces returned. The valid range is [1, 1000].It defaults to 20.

setMaxNumOfCandidatesReturnedCol(value)[source]
Parameters

maxNumOfCandidatesReturned – Optional parameter. The number of top similar faces returned. The valid range is [1, 1000].It defaults to 20.

setMode(value)[source]
Parameters

mode – Optional parameter. Similar face searching mode. It can be ‘matchPerson’ or ‘matchFace’. It defaults to ‘matchPerson’.

setModeCol(value)[source]
Parameters

mode – Optional parameter. Similar face searching mode. It can be ‘matchPerson’ or ‘matchFace’. It defaults to ‘matchPerson’.

setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, errorCol='FindSimilarFace_ecd2f4f89d80_error', faceId=None, faceIdCol=None, faceIds=None, faceIdsCol=None, faceListId=None, faceListIdCol=None, handler=None, largeFaceListId=None, largeFaceListIdCol=None, maxNumOfCandidatesReturned=None, maxNumOfCandidatesReturnedCol=None, mode=None, modeCol=None, outputCol='FindSimilarFace_ecd2f4f89d80_output', subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Set the (keyword only) parameters

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setTimeout(value)[source]
Parameters

timeout – number of seconds to wait before closing the connection

setUrl(value)[source]
Parameters

url – Url of the service

subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
timeout = Param(parent='undefined', name='timeout', doc='number of seconds to wait before closing the connection')
url = Param(parent='undefined', name='url', doc='Url of the service')

synapse.ml.services.face.GroupFaces module

class synapse.ml.services.face.GroupFaces.GroupFaces(java_obj=None, AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, errorCol='GroupFaces_1c56477dc080_error', faceIds=None, faceIdsCol=None, handler=None, outputCol='GroupFaces_1c56477dc080_output', subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Bases: pyspark.ml.util.MLReadable[pyspark.ml.util.RL]

Parameters
  • AADToken (object) – AAD Token used for authentication

  • CustomAuthHeader (object) – A Custom Value for Authorization Header

  • concurrency (int) – max number of concurrent calls

  • concurrentTimeout (float) – max number seconds to wait on futures if concurrency >= 1

  • errorCol (str) – column to hold http errors

  • faceIds (object) – Array of candidate faceId created by Face - Detect. The maximum is 1000 faces.

  • handler (object) – Which strategy to use when handling requests

  • outputCol (str) – The name of the output column

  • subscriptionKey (object) – the API key to use

  • timeout (float) – number of seconds to wait before closing the connection

  • url (str) – Url of the service

AADToken = Param(parent='undefined', name='AADToken', doc='ServiceParam: AAD Token used for authentication')
CustomAuthHeader = Param(parent='undefined', name='CustomAuthHeader', doc='ServiceParam: A Custom Value for Authorization Header')
concurrency = Param(parent='undefined', name='concurrency', doc='max number of concurrent calls')
concurrentTimeout = Param(parent='undefined', name='concurrentTimeout', doc='max number seconds to wait on futures if concurrency >= 1')
errorCol = Param(parent='undefined', name='errorCol', doc='column to hold http errors')
faceIds = Param(parent='undefined', name='faceIds', doc='ServiceParam: Array of candidate faceId created by Face - Detect. The maximum is 1000 faces.')
getAADToken()[source]
Returns

AAD Token used for authentication

Return type

AADToken

getConcurrency()[source]
Returns

max number of concurrent calls

Return type

concurrency

getConcurrentTimeout()[source]
Returns

max number seconds to wait on futures if concurrency >= 1

Return type

concurrentTimeout

getCustomAuthHeader()[source]
Returns

A Custom Value for Authorization Header

Return type

CustomAuthHeader

getErrorCol()[source]
Returns

column to hold http errors

Return type

errorCol

getFaceIds()[source]
Returns

Array of candidate faceId created by Face - Detect. The maximum is 1000 faces.

Return type

faceIds

getHandler()[source]
Returns

Which strategy to use when handling requests

Return type

handler

static getJavaPackage()[source]

Returns package name String.

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getTimeout()[source]
Returns

number of seconds to wait before closing the connection

Return type

timeout

getUrl()[source]
Returns

Url of the service

Return type

url

handler = Param(parent='undefined', name='handler', doc='Which strategy to use when handling requests')
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
classmethod read()[source]

Returns an MLReader instance for this class.

setAADToken(value)[source]
Parameters

AADToken – AAD Token used for authentication

setAADTokenCol(value)[source]
Parameters

AADToken – AAD Token used for authentication

setConcurrency(value)[source]
Parameters

concurrency – max number of concurrent calls

setConcurrentTimeout(value)[source]
Parameters

concurrentTimeout – max number seconds to wait on futures if concurrency >= 1

setCustomAuthHeader(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomAuthHeaderCol(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomServiceName(value)[source]
setDefaultInternalEndpoint(value)[source]
setEndpoint(value)[source]
setErrorCol(value)[source]
Parameters

errorCol – column to hold http errors

setFaceIds(value)[source]
Parameters

faceIds – Array of candidate faceId created by Face - Detect. The maximum is 1000 faces.

setFaceIdsCol(value)[source]
Parameters

faceIds – Array of candidate faceId created by Face - Detect. The maximum is 1000 faces.

setHandler(value)[source]
Parameters

handler – Which strategy to use when handling requests

setLinkedService(value)[source]
setLocation(value)[source]
setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, errorCol='GroupFaces_1c56477dc080_error', faceIds=None, faceIdsCol=None, handler=None, outputCol='GroupFaces_1c56477dc080_output', subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Set the (keyword only) parameters

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setTimeout(value)[source]
Parameters

timeout – number of seconds to wait before closing the connection

setUrl(value)[source]
Parameters

url – Url of the service

subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
timeout = Param(parent='undefined', name='timeout', doc='number of seconds to wait before closing the connection')
url = Param(parent='undefined', name='url', doc='Url of the service')

synapse.ml.services.face.IdentifyFaces module

class synapse.ml.services.face.IdentifyFaces.IdentifyFaces(java_obj=None, AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, confidenceThreshold=None, confidenceThresholdCol=None, errorCol='IdentifyFaces_909d0dd95494_error', faceIds=None, faceIdsCol=None, handler=None, largePersonGroupId=None, largePersonGroupIdCol=None, maxNumOfCandidatesReturned=None, maxNumOfCandidatesReturnedCol=None, outputCol='IdentifyFaces_909d0dd95494_output', personGroupId=None, personGroupIdCol=None, subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Bases: pyspark.ml.util.MLReadable[pyspark.ml.util.RL]

Parameters
  • AADToken (object) – AAD Token used for authentication

  • CustomAuthHeader (object) – A Custom Value for Authorization Header

  • concurrency (int) – max number of concurrent calls

  • concurrentTimeout (float) – max number seconds to wait on futures if concurrency >= 1

  • confidenceThreshold (object) – Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.

  • errorCol (str) – column to hold http errors

  • faceIds (object) – Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10].

  • handler (object) – Which strategy to use when handling requests

  • largePersonGroupId (object) – largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

  • maxNumOfCandidatesReturned (object) – The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).

  • outputCol (str) – The name of the output column

  • personGroupId (object) – personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

  • subscriptionKey (object) – the API key to use

  • timeout (float) – number of seconds to wait before closing the connection

  • url (str) – Url of the service

AADToken = Param(parent='undefined', name='AADToken', doc='ServiceParam: AAD Token used for authentication')
CustomAuthHeader = Param(parent='undefined', name='CustomAuthHeader', doc='ServiceParam: A Custom Value for Authorization Header')
concurrency = Param(parent='undefined', name='concurrency', doc='max number of concurrent calls')
concurrentTimeout = Param(parent='undefined', name='concurrentTimeout', doc='max number seconds to wait on futures if concurrency >= 1')
confidenceThreshold = Param(parent='undefined', name='confidenceThreshold', doc='ServiceParam: Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.')
errorCol = Param(parent='undefined', name='errorCol', doc='column to hold http errors')
faceIds = Param(parent='undefined', name='faceIds', doc='ServiceParam: Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10]. ')
getAADToken()[source]
Returns

AAD Token used for authentication

Return type

AADToken

getConcurrency()[source]
Returns

max number of concurrent calls

Return type

concurrency

getConcurrentTimeout()[source]
Returns

max number seconds to wait on futures if concurrency >= 1

Return type

concurrentTimeout

getConfidenceThreshold()[source]
Returns

Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.

Return type

confidenceThreshold

getCustomAuthHeader()[source]
Returns

A Custom Value for Authorization Header

Return type

CustomAuthHeader

getErrorCol()[source]
Returns

column to hold http errors

Return type

errorCol

getFaceIds()[source]
Returns

Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10].

Return type

faceIds

getHandler()[source]
Returns

Which strategy to use when handling requests

Return type

handler

static getJavaPackage()[source]

Returns package name String.

getLargePersonGroupId()[source]
Returns

largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

Return type

largePersonGroupId

getMaxNumOfCandidatesReturned()[source]
Returns

The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).

Return type

maxNumOfCandidatesReturned

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getPersonGroupId()[source]
Returns

personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

Return type

personGroupId

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getTimeout()[source]
Returns

number of seconds to wait before closing the connection

Return type

timeout

getUrl()[source]
Returns

Url of the service

Return type

url

handler = Param(parent='undefined', name='handler', doc='Which strategy to use when handling requests')
largePersonGroupId = Param(parent='undefined', name='largePersonGroupId', doc='ServiceParam: largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.')
maxNumOfCandidatesReturned = Param(parent='undefined', name='maxNumOfCandidatesReturned', doc='ServiceParam: The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).')
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
personGroupId = Param(parent='undefined', name='personGroupId', doc='ServiceParam: personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.')
classmethod read()[source]

Returns an MLReader instance for this class.

setAADToken(value)[source]
Parameters

AADToken – AAD Token used for authentication

setAADTokenCol(value)[source]
Parameters

AADToken – AAD Token used for authentication

setConcurrency(value)[source]
Parameters

concurrency – max number of concurrent calls

setConcurrentTimeout(value)[source]
Parameters

concurrentTimeout – max number seconds to wait on futures if concurrency >= 1

setConfidenceThreshold(value)[source]
Parameters

confidenceThreshold – Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.

setConfidenceThresholdCol(value)[source]
Parameters

confidenceThreshold – Optional parameter.Customized identification confidence threshold, in the range of [0, 1].Advanced user can tweak this value to override defaultinternal threshold for better precision on their scenario data.Note there is no guarantee of this threshold value workingon other data and after algorithm updates.

setCustomAuthHeader(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomAuthHeaderCol(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomServiceName(value)[source]
setDefaultInternalEndpoint(value)[source]
setEndpoint(value)[source]
setErrorCol(value)[source]
Parameters

errorCol – column to hold http errors

setFaceIds(value)[source]
Parameters

faceIds – Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10].

setFaceIdsCol(value)[source]
Parameters

faceIds – Array of query faces faceIds, created by the Face - Detect. Each of the faces are identified independently. The valid number of faceIds is between [1, 10].

setHandler(value)[source]
Parameters

handler – Which strategy to use when handling requests

setLargePersonGroupId(value)[source]
Parameters

largePersonGroupId – largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

setLargePersonGroupIdCol(value)[source]
Parameters

largePersonGroupId – largePersonGroupId of the target large person group, created by LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

setLinkedService(value)[source]
setLocation(value)[source]
setMaxNumOfCandidatesReturned(value)[source]
Parameters

maxNumOfCandidatesReturned – The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).

setMaxNumOfCandidatesReturnedCol(value)[source]
Parameters

maxNumOfCandidatesReturned – The range of maxNumOfCandidatesReturned is between 1 and 100 (default is 10).

setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, confidenceThreshold=None, confidenceThresholdCol=None, errorCol='IdentifyFaces_909d0dd95494_error', faceIds=None, faceIdsCol=None, handler=None, largePersonGroupId=None, largePersonGroupIdCol=None, maxNumOfCandidatesReturned=None, maxNumOfCandidatesReturnedCol=None, outputCol='IdentifyFaces_909d0dd95494_output', personGroupId=None, personGroupIdCol=None, subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Set the (keyword only) parameters

setPersonGroupId(value)[source]
Parameters

personGroupId – personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

setPersonGroupIdCol(value)[source]
Parameters

personGroupId – personGroupId of the target person group, created by PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setTimeout(value)[source]
Parameters

timeout – number of seconds to wait before closing the connection

setUrl(value)[source]
Parameters

url – Url of the service

subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
timeout = Param(parent='undefined', name='timeout', doc='number of seconds to wait before closing the connection')
url = Param(parent='undefined', name='url', doc='Url of the service')

synapse.ml.services.face.VerifyFaces module

class synapse.ml.services.face.VerifyFaces.VerifyFaces(java_obj=None, AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, errorCol='VerifyFaces_be6e0cbb0c8a_error', faceId=None, faceIdCol=None, faceId1=None, faceId1Col=None, faceId2=None, faceId2Col=None, handler=None, largePersonGroupId=None, largePersonGroupIdCol=None, outputCol='VerifyFaces_be6e0cbb0c8a_output', personGroupId=None, personGroupIdCol=None, personId=None, personIdCol=None, subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Bases: pyspark.ml.util.MLReadable[pyspark.ml.util.RL]

Parameters
  • AADToken (object) – AAD Token used for authentication

  • CustomAuthHeader (object) – A Custom Value for Authorization Header

  • concurrency (int) – max number of concurrent calls

  • concurrentTimeout (float) – max number seconds to wait on futures if concurrency >= 1

  • errorCol (str) – column to hold http errors

  • faceId (object) – faceId of the face, comes from Face - Detect.

  • faceId1 (object) – faceId of one face, comes from Face - Detect.

  • faceId2 (object) – faceId of another face, comes from Face - Detect.

  • handler (object) – Which strategy to use when handling requests

  • largePersonGroupId (object) – Using existing largePersonGroupId and personId for fast adding a specified person. largePersonGroupId is created in LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

  • outputCol (str) – The name of the output column

  • personGroupId (object) – Using existing personGroupId and personId for fast loading a specified person. personGroupId is created in PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

  • personId (object) – Specify a certain person in a person group or a large person group. personId is created in PersonGroup Person - Create or LargePersonGroup Person - Create.

  • subscriptionKey (object) – the API key to use

  • timeout (float) – number of seconds to wait before closing the connection

  • url (str) – Url of the service

AADToken = Param(parent='undefined', name='AADToken', doc='ServiceParam: AAD Token used for authentication')
CustomAuthHeader = Param(parent='undefined', name='CustomAuthHeader', doc='ServiceParam: A Custom Value for Authorization Header')
concurrency = Param(parent='undefined', name='concurrency', doc='max number of concurrent calls')
concurrentTimeout = Param(parent='undefined', name='concurrentTimeout', doc='max number seconds to wait on futures if concurrency >= 1')
errorCol = Param(parent='undefined', name='errorCol', doc='column to hold http errors')
faceId = Param(parent='undefined', name='faceId', doc='ServiceParam: faceId of the face, comes from Face - Detect.')
faceId1 = Param(parent='undefined', name='faceId1', doc='ServiceParam: faceId of one face, comes from Face - Detect.')
faceId2 = Param(parent='undefined', name='faceId2', doc='ServiceParam: faceId of another face, comes from Face - Detect.')
getAADToken()[source]
Returns

AAD Token used for authentication

Return type

AADToken

getConcurrency()[source]
Returns

max number of concurrent calls

Return type

concurrency

getConcurrentTimeout()[source]
Returns

max number seconds to wait on futures if concurrency >= 1

Return type

concurrentTimeout

getCustomAuthHeader()[source]
Returns

A Custom Value for Authorization Header

Return type

CustomAuthHeader

getErrorCol()[source]
Returns

column to hold http errors

Return type

errorCol

getFaceId()[source]
Returns

faceId of the face, comes from Face - Detect.

Return type

faceId

getFaceId1()[source]
Returns

faceId of one face, comes from Face - Detect.

Return type

faceId1

getFaceId2()[source]
Returns

faceId of another face, comes from Face - Detect.

Return type

faceId2

getHandler()[source]
Returns

Which strategy to use when handling requests

Return type

handler

static getJavaPackage()[source]

Returns package name String.

getLargePersonGroupId()[source]
Returns

Using existing largePersonGroupId and personId for fast adding a specified person. largePersonGroupId is created in LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

Return type

largePersonGroupId

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getPersonGroupId()[source]
Returns

Using existing personGroupId and personId for fast loading a specified person. personGroupId is created in PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

Return type

personGroupId

getPersonId()[source]
Returns

Specify a certain person in a person group or a large person group. personId is created in PersonGroup Person - Create or LargePersonGroup Person - Create.

Return type

personId

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getTimeout()[source]
Returns

number of seconds to wait before closing the connection

Return type

timeout

getUrl()[source]
Returns

Url of the service

Return type

url

handler = Param(parent='undefined', name='handler', doc='Which strategy to use when handling requests')
largePersonGroupId = Param(parent='undefined', name='largePersonGroupId', doc='ServiceParam: Using existing largePersonGroupId and personId for fast adding a specified person. largePersonGroupId is created in LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.')
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
personGroupId = Param(parent='undefined', name='personGroupId', doc='ServiceParam: Using existing personGroupId and personId for fast loading a specified person. personGroupId is created in PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.')
personId = Param(parent='undefined', name='personId', doc='ServiceParam: Specify a certain person in a person group or a large person group. personId is created in PersonGroup Person - Create or LargePersonGroup Person - Create.')
classmethod read()[source]

Returns an MLReader instance for this class.

setAADToken(value)[source]
Parameters

AADToken – AAD Token used for authentication

setAADTokenCol(value)[source]
Parameters

AADToken – AAD Token used for authentication

setConcurrency(value)[source]
Parameters

concurrency – max number of concurrent calls

setConcurrentTimeout(value)[source]
Parameters

concurrentTimeout – max number seconds to wait on futures if concurrency >= 1

setCustomAuthHeader(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomAuthHeaderCol(value)[source]
Parameters

CustomAuthHeader – A Custom Value for Authorization Header

setCustomServiceName(value)[source]
setDefaultInternalEndpoint(value)[source]
setEndpoint(value)[source]
setErrorCol(value)[source]
Parameters

errorCol – column to hold http errors

setFaceId(value)[source]
Parameters

faceId – faceId of the face, comes from Face - Detect.

setFaceId1(value)[source]
Parameters

faceId1 – faceId of one face, comes from Face - Detect.

setFaceId1Col(value)[source]
Parameters

faceId1 – faceId of one face, comes from Face - Detect.

setFaceId2(value)[source]
Parameters

faceId2 – faceId of another face, comes from Face - Detect.

setFaceId2Col(value)[source]
Parameters

faceId2 – faceId of another face, comes from Face - Detect.

setFaceIdCol(value)[source]
Parameters

faceId – faceId of the face, comes from Face - Detect.

setHandler(value)[source]
Parameters

handler – Which strategy to use when handling requests

setLargePersonGroupId(value)[source]
Parameters

largePersonGroupId – Using existing largePersonGroupId and personId for fast adding a specified person. largePersonGroupId is created in LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

setLargePersonGroupIdCol(value)[source]
Parameters

largePersonGroupId – Using existing largePersonGroupId and personId for fast adding a specified person. largePersonGroupId is created in LargePersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

setLinkedService(value)[source]
setLocation(value)[source]
setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(AADToken=None, AADTokenCol=None, CustomAuthHeader=None, CustomAuthHeaderCol=None, concurrency=1, concurrentTimeout=None, errorCol='VerifyFaces_be6e0cbb0c8a_error', faceId=None, faceIdCol=None, faceId1=None, faceId1Col=None, faceId2=None, faceId2Col=None, handler=None, largePersonGroupId=None, largePersonGroupIdCol=None, outputCol='VerifyFaces_be6e0cbb0c8a_output', personGroupId=None, personGroupIdCol=None, personId=None, personIdCol=None, subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Set the (keyword only) parameters

setPersonGroupId(value)[source]
Parameters

personGroupId – Using existing personGroupId and personId for fast loading a specified person. personGroupId is created in PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

setPersonGroupIdCol(value)[source]
Parameters

personGroupId – Using existing personGroupId and personId for fast loading a specified person. personGroupId is created in PersonGroup - Create. Parameter personGroupId and largePersonGroupId should not be provided at the same time.

setPersonId(value)[source]
Parameters

personId – Specify a certain person in a person group or a large person group. personId is created in PersonGroup Person - Create or LargePersonGroup Person - Create.

setPersonIdCol(value)[source]
Parameters

personId – Specify a certain person in a person group or a large person group. personId is created in PersonGroup Person - Create or LargePersonGroup Person - Create.

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setTimeout(value)[source]
Parameters

timeout – number of seconds to wait before closing the connection

setUrl(value)[source]
Parameters

url – Url of the service

subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
timeout = Param(parent='undefined', name='timeout', doc='number of seconds to wait before closing the connection')
url = Param(parent='undefined', name='url', doc='Url of the service')

Module contents

SynapseML is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Spark in several new directions. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK), LightGBM and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of datasources.

SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. In this vein, SynapseML provides easy to use SparkML transformers for a wide variety of Microsoft Cognitive Services. For production grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.

SynapseML requires Scala 2.12, Spark 3.0+, and Python 3.6+.