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+.