Index (konduit-serving-api 0.0.2 API)

A B C D E F G H I J K L M N O P R S T U V W Y

A

adapt(INDArray[], List<String>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.ClassificationMultiOutputAdapter
adapt(INDArray, RoutingContext) - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
adapt(List<? extends Map<FieldName, ?>>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
adapt(Object, RoutingContext) - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
adapt(T, List<String>, RoutingContext) - Method in interface ai.konduit.serving.output.adapter.MultiOutputAdapter: Deprecated.

Adapt a pair of INDArray and the output names, with the array input ordered by the output name
adapt(INDArray, RoutingContext) - Method in interface ai.konduit.serving.output.adapter.OutputAdapter: Deprecated.

Given an input array, output the desired type
adapt(List<? extends Map<FieldName, ?>>, RoutingContext) - Method in interface ai.konduit.serving.output.adapter.OutputAdapter: Deprecated.

Convert the pmml to the desired type
adapt(Object, RoutingContext) - Method in interface ai.konduit.serving.output.adapter.OutputAdapter: Deprecated.

Adapt an arbitrary object.
adapt(INDArray[], List<String>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RawMultiOutputAdapter
adapt(INDArray, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RawOutputAdapter
adapt(List<? extends Map<FieldName, ?>>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RawOutputAdapter
adapt(Object, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RawOutputAdapter
adapt(INDArray[], List<String>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RegressionMultiOutputAdapter
adapt(INDArray, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RegressionOutputAdapter
adapt(List<? extends Map<FieldName, ?>>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RegressionOutputAdapter
adapt(Object, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RegressionOutputAdapter
adapt(INDArray[], List<String>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.SSDOutputAdapter
adapt(INDArray[], List<String>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.YOLOOutputAdapter
ai.konduit.serving.config - package ai.konduit.serving.config
ai.konduit.serving.config.metrics - package ai.konduit.serving.config.metrics
ai.konduit.serving.config.metrics.impl - package ai.konduit.serving.config.metrics.impl
ai.konduit.serving.input.adapter - package ai.konduit.serving.input.adapter
ai.konduit.serving.input.conversion - package ai.konduit.serving.input.conversion
ai.konduit.serving.metrics - package ai.konduit.serving.metrics
ai.konduit.serving.model - package ai.konduit.serving.model
ai.konduit.serving.model.loader - package ai.konduit.serving.model.loader
ai.konduit.serving.output.adapter - package ai.konduit.serving.output.adapter
ai.konduit.serving.output.types - package ai.konduit.serving.output.types
ai.konduit.serving.pipeline.config - package ai.konduit.serving.pipeline.config
ai.konduit.serving.settings.constants - package ai.konduit.serving.settings.constants
ai.konduit.serving.util - package ai.konduit.serving.util
ai.konduit.serving.verticles - package ai.konduit.serving.verticles
ai.konduit.serving.verticles.base - package ai.konduit.serving.verticles.base
ARRAY_URL - Static variable in class ai.konduit.serving.config.MemMapConfig

B

BaseRoutableVerticle - Class in ai.konduit.serving.verticles.base: A super class containing a router and boiler plate methods for managing http interaction.
BaseRoutableVerticle() - Constructor for class ai.konduit.serving.verticles.base.BaseRoutableVerticle
batchId() - Method in interface ai.konduit.serving.output.types.BatchOutput: Return the batch id for this batch output.
batchId() - Method in class ai.konduit.serving.output.types.ClassifierOutput
batchId() - Method in class ai.konduit.serving.output.types.DetectedObjectsBatch
batchId() - Method in class ai.konduit.serving.output.types.ManyDetectedObjects
batchId() - Method in class ai.konduit.serving.output.types.NDArrayOutput
batchId() - Method in class ai.konduit.serving.output.types.RegressionOutput
BatchInputParser - Class in ai.konduit.serving.input.conversion: Parses a whole multi part upload buffer and converts it to an INDArray minibatch.
BatchInputParser() - Constructor for class ai.konduit.serving.input.conversion.BatchInputParser
BatchInputParser.BatchPartInfo - Class in ai.konduit.serving.input.conversion
BatchOutput - Interface in ai.konduit.serving.output.types: The Batch Output represents the output from an output adapter.
BatchPartInfo() - Constructor for class ai.konduit.serving.input.conversion.BatchInputParser.BatchPartInfo
bindTo(MeterRegistry) - Method in class ai.konduit.serving.config.metrics.impl.MetricsBinderRendererAdapter

C

ClassificationMetricsConfig - Class in ai.konduit.serving.config.metrics.impl: The configuration associated with ClassificationMetrics - this class contains metadata needed for exposing metrics correctly for ClassificationMetrics
ClassificationMetricsConfig() - Constructor for class ai.konduit.serving.config.metrics.impl.ClassificationMetricsConfig
ClassificationMultiOutputAdapter - Class in ai.konduit.serving.output.adapter: A MultiOutputAdapter for classification.
ClassificationMultiOutputAdapter() - Constructor for class ai.konduit.serving.output.adapter.ClassificationMultiOutputAdapter
ClassifierOutput - Class in ai.konduit.serving.output.types
ClassifierOutput() - Constructor for class ai.konduit.serving.output.types.ClassifierOutput
ClassifierOutputAdapter - Class in ai.konduit.serving.output.adapter: An output adapter for displaying ClassifierOutput
ClassifierOutputAdapter(Schema) - Constructor for class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
ColumnDistribution - Class in ai.konduit.serving.config.metrics: Column distribution represents statistics and normalizer information for how to transform or denormalize values based on distribution information.
ColumnDistribution() - Constructor for class ai.konduit.serving.config.metrics.ColumnDistribution
COMMAND_LOGS_DIR - Static variable in class ai.konduit.serving.settings.constants.EnvironmentConstants: Deprecated.

Default directory for containing the command line logs for konduit-serving
COMMAND_LOGS_DIR - Static variable in class ai.konduit.serving.settings.constants.PropertiesConstants: Deprecated.

Default directory for containing the command line logs for konduit-serving
compareTo(BatchInputParser.BatchPartInfo) - Method in class ai.konduit.serving.input.conversion.BatchInputParser.BatchPartInfo
config() - Method in class ai.konduit.serving.config.metrics.impl.MetricsBinderRendererAdapter
config() - Method in interface ai.konduit.serving.config.metrics.MetricsRenderer: The configuration for the metrics
configValues() - Method in class ai.konduit.serving.config.metrics.impl.ClassificationMetricsConfig
configValues() - Method in class ai.konduit.serving.config.metrics.impl.MultiLabelMetricsConfig
configValues() - Method in class ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig
configValues() - Method in interface ai.konduit.serving.config.metrics.MetricsConfig: The configuration value separated by name and value
configValues() - Method in class ai.konduit.serving.config.metrics.NoOpMetricsConfig
Constants - Class in ai.konduit.serving.settings.constants: Deprecated.
To be removed - https://github.com/KonduitAI/konduit-serving/issues/298
Constants() - Constructor for class ai.konduit.serving.settings.constants.Constants: Deprecated.
convert(INPUT_TYPE, ConverterArgs, Map<String, Object>) - Method in interface ai.konduit.serving.input.adapter.InputAdapter: Convert the input type to the desired output type given the ConverterArgs
convert(Buffer, String, ConverterArgs, RoutingContext) - Method in class ai.konduit.serving.input.conversion.BatchInputParser: Use the converter specified by name to convert a raw Buffer to a proper input for inference
CONVERTED_INFERENCE_DATA - Static variable in class ai.konduit.serving.verticles.VerticleConstants
ConverterArgs - Class in ai.konduit.serving.input.conversion: The converter arguments needed for input binary data.
ConverterArgs() - Constructor for class ai.konduit.serving.input.conversion.ConverterArgs
createBatch(RoutingContext) - Method in class ai.konduit.serving.input.conversion.BatchInputParser: Create a batch from the RoutingContext

D

DEFAULT_COMMAND_LOGS_DIR_NAME - Static variable in class ai.konduit.serving.settings.constants.Constants: Deprecated.

Default directory name for containing the command log files.
DEFAULT_ENDPOINT_LOGS_DIR_NAME - Static variable in class ai.konduit.serving.settings.constants.Constants: Deprecated.

Default base directory name for the endpoints log (/logs).
DEFAULT_INITIAL_SIZE - Static variable in class ai.konduit.serving.config.MemMapConfig
DEFAULT_LABELS_RESOURCE_NAME - Static variable in class ai.konduit.serving.output.adapter.SSDOutputAdapter
DEFAULT_PRIOR_BOXES - Static variable in class ai.konduit.serving.pipeline.config.ObjectDetectionConfig
DEFAULT_WORKING_BASE_DIR_NAME - Static variable in class ai.konduit.serving.settings.constants.Constants: Deprecated.

The name of the default base name of the konduit-serving working directory.
deNormalizeValue(double, ColumnDistribution) - Static method in class ai.konduit.serving.util.MetricRenderUtils: De normalize the given input based on the ColumnDistribution
DetectedObjectsBatch - Class in ai.konduit.serving.output.types
DetectedObjectsBatch() - Constructor for class ai.konduit.serving.output.types.DetectedObjectsBatch

E

ENDPOINT_LOGS_DIR - Static variable in class ai.konduit.serving.settings.constants.EnvironmentConstants: Deprecated.

This variable is responsible for setting the path where the log files for a konduit server is kept for the `/logs` endpoint.
ENDPOINT_LOGS_DIR - Static variable in class ai.konduit.serving.settings.constants.PropertiesConstants: Deprecated.

This system property is responsible for setting the path where the log files for a konduit server is kept for the `/logs` endpoint.
EnvironmentConstants - Class in ai.konduit.serving.settings.constants: Deprecated.
To be removed - https://github.com/KonduitAI/konduit-serving/issues/298
EnvironmentConstants() - Constructor for class ai.konduit.serving.settings.constants.EnvironmentConstants: Deprecated.

F

FILE_UPLOADS_DIR - Static variable in class ai.konduit.serving.settings.constants.EnvironmentConstants: Deprecated.

Sets the directory where the file uploads are kept for Vertx BodyHandler
FILE_UPLOADS_DIR - Static variable in class ai.konduit.serving.settings.constants.PropertiesConstants: Deprecated.

Sets the directory where the file uploads are kept for Vertx BodyHandler
findCondaDetails(String) - Static method in class ai.konduit.serving.model.PythonConfig
findPythonLibariesPath(String) - Static method in class ai.konduit.serving.model.PythonConfig
findPythonLibariesPathFromVenvDetails(String) - Static method in class ai.konduit.serving.model.PythonConfig
findPythonLibrariesPathFromCondaDetails(String, String) - Static method in class ai.konduit.serving.model.PythonConfig
fromJson(String) - Static method in class ai.konduit.serving.config.MemMapConfig
fromJson(String) - Static method in class ai.konduit.serving.config.metrics.ColumnDistribution
fromJson(String) - Static method in class ai.konduit.serving.config.metrics.impl.ClassificationMetricsConfig
fromJson(String) - Static method in class ai.konduit.serving.config.metrics.impl.MultiLabelMetricsConfig
fromJson(String) - Static method in class ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig
fromJson(String) - Static method in class ai.konduit.serving.config.metrics.NoOpMetricsConfig
fromJson(String, Class<T>) - Static method in class ai.konduit.serving.util.ObjectMappers: Convert the specified YAML String to an object of the specified class, throwing an unchecked exception (RuntimeException) if conversion fails
fromNd4jType(DataType) - Static method in enum ai.konduit.serving.model.TensorDataType: Deprecated.
fromNd4jType(INDArray) - Static method in enum ai.konduit.serving.model.TensorDataType: Deprecated.
fromProtoValue(String) - Static method in enum ai.konduit.serving.model.TensorDataType: Deprecated.

Map a tensor data type to a proto value found in tensorflow.
fromYaml(String) - Static method in class ai.konduit.serving.config.MemMapConfig
fromYaml(String) - Static method in class ai.konduit.serving.config.metrics.ColumnDistribution
fromYaml(String) - Static method in class ai.konduit.serving.config.metrics.impl.ClassificationMetricsConfig
fromYaml(String) - Static method in class ai.konduit.serving.config.metrics.impl.MultiLabelMetricsConfig
fromYaml(String) - Static method in class ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig
fromYaml(String) - Static method in class ai.konduit.serving.config.metrics.NoOpMetricsConfig
fromYaml(String, Class<T>) - Static method in class ai.konduit.serving.util.ObjectMappers: Convert the specified YAML String to an object of the specified class, throwing an unchecked exception (RuntimeException) if conversion fails

G

getAvailablePort() - Static method in class ai.konduit.serving.util.PortUtils
getLabels() - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
getLabels(InputStream, int) - Static method in class ai.konduit.serving.output.adapter.SSDOutputAdapter
getLabels() - Static method in class ai.konduit.serving.output.adapter.SSDOutputAdapter
getUnderlyingValue(Writable) - Static method in class ai.konduit.serving.util.WritableValueRetriever: Get the underlying value fro the given Writable

H

HTTP_PORT_KEY - Static variable in class ai.konduit.serving.verticles.VerticleConstants

I

INITIAL_MEM_MAP_SIZE - Static variable in class ai.konduit.serving.config.MemMapConfig
InputAdapter<INPUT_TYPE,OUTPUT_TYPE> - Interface in ai.konduit.serving.input.adapter: An input adapter covers converting input data of 1 type to a suitable output type for use with ETL pipeline components such as TransformProcess .
isDictWithType() - Method in class ai.konduit.serving.model.PythonIO: Returns true if this io is a list with a secondary type defined
isDictWithUndefinedType() - Method in class ai.konduit.serving.model.PythonIO: Returns true if this is a list type with no secondary type defined
isListWithType() - Method in class ai.konduit.serving.model.PythonIO: Returns true if this io is a list with a secondary type defined
isListWithUndefinedType() - Method in class ai.konduit.serving.model.PythonIO: Returns true if this is a list type with no secondary type defined

J

json() - Static method in class ai.konduit.serving.util.ObjectMappers: Get a single object mapper for use with reading and writing JSON

K

KONDUIT_SERVING_PORT - Static variable in class ai.konduit.serving.verticles.VerticleConstants

L

loadModel() - Method in interface ai.konduit.serving.model.loader.ModelLoader: Load the model

M

MAIN_ENDPOINT_LOGS_FILE - Static variable in class ai.konduit.serving.settings.constants.Constants: Deprecated.

Name of the log file which contains the logging data for the /logs endpoint.
ManyDetectedObjects - Class in ai.konduit.serving.output.types
ManyDetectedObjects() - Constructor for class ai.konduit.serving.output.types.ManyDetectedObjects
MEM_MAP_VECTOR_PATH - Static variable in class ai.konduit.serving.verticles.VerticleConstants
MemMapConfig - Class in ai.konduit.serving.config
MemMapConfig() - Constructor for class ai.konduit.serving.config.MemMapConfig
MetricRenderUtils - Class in ai.konduit.serving.util: Util class for anything related to MetricsRenderer
MetricRenderUtils() - Constructor for class ai.konduit.serving.util.MetricRenderUtils
metricsBinderImplementation() - Method in class ai.konduit.serving.config.metrics.impl.ClassificationMetricsConfig
metricsBinderImplementation() - Method in class ai.konduit.serving.config.metrics.impl.MultiLabelMetricsConfig
metricsBinderImplementation() - Method in class ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig
metricsBinderImplementation() - Method in interface ai.konduit.serving.config.metrics.MetricsConfig: MeterBinder implementation associated with this configuration
metricsBinderImplementation() - Method in class ai.konduit.serving.config.metrics.NoOpMetricsConfig
MetricsBinderRendererAdapter - Class in ai.konduit.serving.config.metrics.impl: An MeterBinder wrapper that provides default no op MetricsRenderer implementations.
MetricsBinderRendererAdapter() - Constructor for class ai.konduit.serving.config.metrics.impl.MetricsBinderRendererAdapter
MetricsConfig - Interface in ai.konduit.serving.config.metrics: An TextConfig associated with MeterBinder implementations provided as part of konduit-serving
MetricsRenderer - Interface in ai.konduit.serving.config.metrics: An updatedable MeterBinder that allows updates of metrics beyond MeterBinder.bindTo(MeterRegistry) This allows encapsulation of logic for doing things like calling Counter.increment()
MetricType - Enum in ai.konduit.serving.metrics: Metric types for prometheus
ModelLoader<T> - Interface in ai.konduit.serving.model.loader: Model loader.
MultiLabelMetricsConfig - Class in ai.konduit.serving.config.metrics.impl: A metrics configuration for a metrics render that, given a set of specified labels takes in counts of columns to increment.
MultiLabelMetricsConfig() - Constructor for class ai.konduit.serving.config.metrics.impl.MultiLabelMetricsConfig
MultiOutputAdapter<T> - Interface in ai.konduit.serving.output.adapter: Deprecated.
To be removed - see https://github.com/KonduitAI/konduit-serving/issues/298

N

NDArrayOutput - Class in ai.konduit.serving.output.types
NDArrayOutput() - Constructor for class ai.konduit.serving.output.types.NDArrayOutput
NoOpMetricsConfig - Class in ai.konduit.serving.config.metrics: A no op MetricsConfig for use with the MetricsBinderRendererAdapter
NoOpMetricsConfig() - Constructor for class ai.konduit.serving.config.metrics.NoOpMetricsConfig
NormalizationConfig - Class in ai.konduit.serving.pipeline.config: Configuration for data normalization in the ETL part of your pipeline.
NormalizationConfig() - Constructor for class ai.konduit.serving.pipeline.config.NormalizationConfig
normalizeValue(double, ColumnDistribution) - Static method in class ai.konduit.serving.util.MetricRenderUtils: De normalize the given input based on the ColumnDistribution

O

ObjectDetectionConfig - Class in ai.konduit.serving.pipeline.config
ObjectDetectionConfig() - Constructor for class ai.konduit.serving.pipeline.config.ObjectDetectionConfig
ObjectMappers - Class in ai.konduit.serving.util: A simple object mapper holder for using one single ObjectMapper across the whole project.
ORIGINAL_IMAGE_HEIGHT - Static variable in class ai.konduit.serving.verticles.VerticleConstants
ORIGINAL_IMAGE_WIDTH - Static variable in class ai.konduit.serving.verticles.VerticleConstants
OutputAdapter<T extends BatchOutput> - Interface in ai.konduit.serving.output.adapter: Deprecated.
To be removed - see https://github.com/KonduitAI/konduit-serving/issues/298
outputAdapterType() - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
outputAdapterType() - Method in interface ai.konduit.serving.output.adapter.OutputAdapter: Deprecated.

Returns the output type of this output adapter.
outputAdapterType() - Method in class ai.konduit.serving.output.adapter.RawOutputAdapter
outputAdapterType() - Method in class ai.konduit.serving.output.adapter.RegressionOutputAdapter
outputAdapterTypes() - Method in class ai.konduit.serving.output.adapter.ClassificationMultiOutputAdapter
outputAdapterTypes() - Method in interface ai.konduit.serving.output.adapter.MultiOutputAdapter: Deprecated.

Returns a map of the strings by output name to the OutputAdapter for each output
outputAdapterTypes() - Method in class ai.konduit.serving.output.adapter.RawMultiOutputAdapter
outputAdapterTypes() - Method in class ai.konduit.serving.output.adapter.RegressionMultiOutputAdapter
outputAdapterTypes() - Method in class ai.konduit.serving.output.adapter.SSDOutputAdapter
outputAdapterTypes() - Method in class ai.konduit.serving.output.adapter.YOLOOutputAdapter

P

port - Variable in class ai.konduit.serving.verticles.base.BaseRoutableVerticle
PortUtils - Class in ai.konduit.serving.util
PortUtils() - Constructor for class ai.konduit.serving.util.PortUtils
PropertiesConstants - Class in ai.konduit.serving.settings.constants: Deprecated.
To be removed - https://github.com/KonduitAI/konduit-serving/issues/298
PropertiesConstants() - Constructor for class ai.konduit.serving.settings.constants.PropertiesConstants: Deprecated.
put(String, String) - Method in class ai.konduit.serving.pipeline.config.NormalizationConfig
PythonConfig - Class in ai.konduit.serving.model: Python configuration for specifying: 1.
PythonConfig() - Constructor for class ai.konduit.serving.model.PythonConfig
PythonConfig.PythonPathResolution - Enum in ai.konduit.serving.model
PythonIO - Class in ai.konduit.serving.model
PythonIO(String, String, ValueType, ValueType) - Constructor for class ai.konduit.serving.model.PythonIO
pythonLibrariesFromAbsolutePath(String) - Static method in class ai.konduit.serving.model.PythonConfig

R

RawMultiOutputAdapter - Class in ai.konduit.serving.output.adapter: A MultiOutputAdapter for classification.
RawMultiOutputAdapter() - Constructor for class ai.konduit.serving.output.adapter.RawMultiOutputAdapter
RawOutputAdapter - Class in ai.konduit.serving.output.adapter
RawOutputAdapter() - Constructor for class ai.konduit.serving.output.adapter.RawOutputAdapter
RegressionMetricsConfig - Class in ai.konduit.serving.config.metrics.impl: The configuration associated with ClassificationMetrics - this class contains metadata needed for exposing metrics correctly for ClassificationMetrics
RegressionMetricsConfig() - Constructor for class ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig
RegressionMetricsConfig.SampleType - Enum in ai.konduit.serving.config.metrics.impl
RegressionMultiOutputAdapter - Class in ai.konduit.serving.output.adapter: A MultiOutputAdapter for elnino.
RegressionMultiOutputAdapter() - Constructor for class ai.konduit.serving.output.adapter.RegressionMultiOutputAdapter
RegressionOutput - Class in ai.konduit.serving.output.types
RegressionOutput() - Constructor for class ai.konduit.serving.output.types.RegressionOutput
RegressionOutputAdapter - Class in ai.konduit.serving.output.adapter: Convert the input based on the input Schema to RegressionOutput representing real valued output.
RegressionOutputAdapter(Schema) - Constructor for class ai.konduit.serving.output.adapter.RegressionOutputAdapter: Create the output adapter with the output inputSchema
resolvePythonLibrariesPath() - Method in class ai.konduit.serving.model.PythonConfig
Routable - Interface in ai.konduit.serving.verticles: An interface representing an object with a Router instance and a Vertx instance
router - Variable in class ai.konduit.serving.verticles.base.BaseRoutableVerticle
router() - Method in class ai.konduit.serving.verticles.base.BaseRoutableVerticle
router() - Method in interface ai.konduit.serving.verticles.Routable: Returns the Router associated with this object

S

SavedModelConfig - Class in ai.konduit.serving.model
SavedModelConfig() - Constructor for class ai.konduit.serving.model.SavedModelConfig
saveModel(T) - Method in interface ai.konduit.serving.model.loader.ModelLoader: Save a model as a buffer
SERVERS_DATA_DIR_NAME - Static variable in class ai.konduit.serving.settings.constants.Constants: Deprecated.

Default directory name for containing the running server data.
setBatchId(String) - Method in interface ai.konduit.serving.output.types.BatchOutput: Set the batch id for the batch output.
setBatchId(String) - Method in class ai.konduit.serving.output.types.DetectedObjectsBatch
setBatchId(String) - Method in class ai.konduit.serving.output.types.ManyDetectedObjects
setBatchId(String) - Method in class ai.konduit.serving.output.types.NDArrayOutput
setupWebServer(Promise<Void>) - Method in class ai.konduit.serving.verticles.base.BaseRoutableVerticle: Start an http server the port with the value configured as the httpPort key found in AbstractVerticle.config()
SSDOutputAdapter - Class in ai.konduit.serving.output.adapter: An input adapter for ssd in tensorflow.
SSDOutputAdapter(double, Labels, int) - Constructor for class ai.konduit.serving.output.adapter.SSDOutputAdapter
SSDOutputAdapter(double, int) - Constructor for class ai.konduit.serving.output.adapter.SSDOutputAdapter
SSDOutputAdapter(double, InputStream, int) - Constructor for class ai.konduit.serving.output.adapter.SSDOutputAdapter
start(Promise<Void>) - Method in class ai.konduit.serving.verticles.base.BaseRoutableVerticle
stop(Promise<Void>) - Method in class ai.konduit.serving.verticles.base.BaseRoutableVerticle

T

TensorDataType - Enum in ai.konduit.serving.model: Deprecated.
To be removed - see https://github.com/KonduitAI/konduit-serving/issues/298
TextConfig - Interface in ai.konduit.serving.config: TextConfig is an interface for any configuration in Konduit Serving that should be convertable to/from JSON and YAML This interface does two things: (a) Adds default toJson() and toYaml() methods to the class, using Jackson (b) Is used in testing to provide coverage tracking for to/from JSON/YAML testing
toJson() - Method in interface ai.konduit.serving.config.TextConfig: Convert a configuration to a JSON string
toJson(Object) - Static method in class ai.konduit.serving.util.ObjectMappers: Convert the specified object to a JSON String, throwing an unchecked exception (RuntimeException) if conversion fails
toJsonObject() - Method in interface ai.konduit.serving.config.TextConfig: Convert a configuration to a JsonObject
toNd4jType(TensorDataType) - Static method in enum ai.konduit.serving.model.TensorDataType: Deprecated.
toPythonName(TensorDataType) - Static method in enum ai.konduit.serving.model.TensorDataType: Deprecated.

Get the python name for the given data type
toTFType() - Method in enum ai.konduit.serving.model.TensorDataType: Deprecated.
toYaml() - Method in interface ai.konduit.serving.config.TextConfig: Convert a configuration to a YAML string
toYaml(Object) - Static method in class ai.konduit.serving.util.ObjectMappers: Convert the specified object to a YAML String, throwing an unchecked exception (RuntimeException) if conversion fails
TRANSACTION_ID - Static variable in class ai.konduit.serving.verticles.VerticleConstants

U

updateMetrics(Object...) - Method in class ai.konduit.serving.config.metrics.impl.MetricsBinderRendererAdapter
updateMetrics(Object...) - Method in interface ai.konduit.serving.config.metrics.MetricsRenderer: Updates the metrics based on given arguments.

V

valueOf(String) - Static method in enum ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.metrics.MetricType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.model.PythonConfig.PythonPathResolution: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ai.konduit.serving.model.TensorDataType: Deprecated.

Returns the enum constant of this type with the specified name.
values() - Static method in enum ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.metrics.MetricType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.model.PythonConfig.PythonPathResolution: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum ai.konduit.serving.model.TensorDataType: Deprecated.

Returns an array containing the constants of this enum type, in the order they are declared.
VerticleConstants - Class in ai.konduit.serving.verticles: Constants for the config.json for initializing verticles.
VerticleConstants() - Constructor for class ai.konduit.serving.verticles.VerticleConstants
vertx() - Method in class ai.konduit.serving.verticles.base.BaseRoutableVerticle
vertx() - Method in interface ai.konduit.serving.verticles.Routable: Returns the Vertx instance associated with this object

W

WORKING_DIR - Static variable in class ai.konduit.serving.settings.constants.EnvironmentConstants: Deprecated.

An environment variable for setting the working directory for konduit serving.
WORKING_DIR - Static variable in class ai.konduit.serving.settings.constants.PropertiesConstants: Deprecated.

For setting the working directory for konduit serving.
WORKSPACE_NAME - Static variable in class ai.konduit.serving.config.MemMapConfig
writableFromValue(Object) - Static method in class ai.konduit.serving.util.WritableValueRetriever: Create a Writable from the given value If an input type is invalid, an IllegalArgumentException will be thrown
WritableValueRetriever - Class in ai.konduit.serving.util: Utilities for datavec's Writable this just perform basic conversion between unknown objects and Writable types.
WritableValueRetriever() - Constructor for class ai.konduit.serving.util.WritableValueRetriever

Y

yaml() - Static method in class ai.konduit.serving.util.ObjectMappers: Get a single object mapper for use with reading and writing YAML
YOLOOutputAdapter - Class in ai.konduit.serving.output.adapter
YOLOOutputAdapter(double, int[], Labels, int, double[][]) - Constructor for class ai.konduit.serving.output.adapter.YOLOOutputAdapter
YOLOOutputAdapter(double, Labels, int) - Constructor for class ai.konduit.serving.output.adapter.YOLOOutputAdapter
YOLOOutputAdapter(double, int) - Constructor for class ai.konduit.serving.output.adapter.YOLOOutputAdapter
YOLOOutputAdapter(double, InputStream, int) - Constructor for class ai.konduit.serving.output.adapter.YOLOOutputAdapter

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