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A
- adapt(Object, RoutingContext) - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
- adapt(Object, RoutingContext) - Method in interface ai.konduit.serving.output.adapter.OutputAdapter
-
Deprecated.Adapt an arbitrary object.
- adapt(Object, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RawOutputAdapter
- adapt(Object, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RegressionOutputAdapter
- adapt(List<? extends Map<FieldName, ?>>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
- adapt(List<? extends Map<FieldName, ?>>, RoutingContext) - Method in interface ai.konduit.serving.output.adapter.OutputAdapter
-
Deprecated.Convert the pmml to the desired type
- adapt(List<? extends Map<FieldName, ?>>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RawOutputAdapter
- adapt(List<? extends Map<FieldName, ?>>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RegressionOutputAdapter
- adapt(INDArray[], List<String>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.ClassificationMultiOutputAdapter
- adapt(INDArray[], List<String>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RawMultiOutputAdapter
- adapt(INDArray[], List<String>, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RegressionMultiOutputAdapter
- 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
- adapt(INDArray, RoutingContext) - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
- adapt(INDArray, RoutingContext) - Method in interface ai.konduit.serving.output.adapter.OutputAdapter
-
Deprecated.Given an input array, output the desired type
- adapt(INDArray, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RawOutputAdapter
- adapt(INDArray, RoutingContext) - Method in class ai.konduit.serving.output.adapter.RegressionOutputAdapter
- adapt(T, List<String>, RoutingContext) - Method in interface ai.konduit.serving.output.adapter.MultiOutputAdapter
-
Deprecated.Adapt a pair of
INDArrayand the output names, with the array input ordered by the output name - 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
INDArrayminibatch. - 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
- BFLOAT16 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- bindTo(MeterRegistry) - Method in class ai.konduit.serving.config.metrics.impl.MetricsBinderRendererAdapter
- BOOL - ai.konduit.serving.model.TensorDataType
-
Deprecated.
C
- CLASS_LOADER - ai.konduit.serving.metrics.MetricType
- CLASSIFICATION - ai.konduit.serving.metrics.MetricType
- ClassificationMetricsConfig - Class in ai.konduit.serving.config.metrics.impl
-
The configuration associated with
ClassificationMetrics- this class contains metadata needed for exposing metrics correctly forClassificationMetrics - ClassificationMetricsConfig() - Constructor for class ai.konduit.serving.config.metrics.impl.ClassificationMetricsConfig
- ClassificationMultiOutputAdapter - Class in ai.konduit.serving.output.adapter
-
A
MultiOutputAdapterfor 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
- COMPLEX128 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- COMPLEX64 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- 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
Bufferto 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 - CUSTOM_MULTI_LABEL - ai.konduit.serving.metrics.MetricType
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
- DOUBLE - ai.konduit.serving.model.TensorDataType
-
Deprecated.
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 - FLOAT - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- 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
- 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
- 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, 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
- 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
G
- getAvailablePort() - Static method in class ai.konduit.serving.util.PortUtils
- getLabels() - Method in class ai.konduit.serving.output.adapter.ClassifierOutputAdapter
- getLabels() - Static method in class ai.konduit.serving.output.adapter.SSDOutputAdapter
- getLabels(InputStream, int) - 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 - GPU - ai.konduit.serving.metrics.MetricType
H
- HALF - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- 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. - INT16 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- INT32 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- INT64 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- INT8 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- INVALID - ai.konduit.serving.model.TensorDataType
-
Deprecated.
J
- json() - Static method in class ai.konduit.serving.util.ObjectMappers
-
Get a single object mapper for use with reading and writing JSON
- JVM_GC - ai.konduit.serving.metrics.MetricType
- JVM_MEMORY - ai.konduit.serving.metrics.MetricType
- JVM_THREAD - ai.konduit.serving.metrics.MetricType
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
- LOGGING_METRICS - ai.konduit.serving.metrics.MetricType
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
/logsendpoint. - ManyDetectedObjects - Class in ai.konduit.serving.output.types
- ManyDetectedObjects() - Constructor for class ai.konduit.serving.output.types.ManyDetectedObjects
- MAX - ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType
- MEAN - ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType
- 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
-
MeterBinderimplementation associated with this configuration - metricsBinderImplementation() - Method in class ai.konduit.serving.config.metrics.NoOpMetricsConfig
- MetricsBinderRendererAdapter - Class in ai.konduit.serving.config.metrics.impl
-
An
MeterBinderwrapper that provides default no opMetricsRendererimplementations. - MetricsBinderRendererAdapter() - Constructor for class ai.konduit.serving.config.metrics.impl.MetricsBinderRendererAdapter
- MetricsConfig - Interface in ai.konduit.serving.config.metrics
-
An
TextConfigassociated withMeterBinderimplementations provided as part of konduit-serving - MetricsRenderer - Interface in ai.konduit.serving.config.metrics
-
An updatedable
MeterBinderthat allows updates of metrics beyondMeterBinder.bindTo(MeterRegistry)This allows encapsulation of logic for doing things like callingCounter.increment() - MetricType - Enum in ai.konduit.serving.metrics
-
Metric types for prometheus
- MIN - ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType
- 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
- NATIVE - ai.konduit.serving.metrics.MetricType
- 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
MetricsConfigfor use with theMetricsBinderRendererAdapter - 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
ObjectMapperacross 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
OutputAdapterfor 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
- PROCESSOR - ai.konduit.serving.metrics.MetricType
- 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
Q
- QINT16 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- QINT32 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- QINT8 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- QUINT16 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- QUINT8 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
R
- RawMultiOutputAdapter - Class in ai.konduit.serving.output.adapter
-
A
MultiOutputAdapterfor 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
- REGRESSION - ai.konduit.serving.metrics.MetricType
- RegressionMetricsConfig - Class in ai.konduit.serving.config.metrics.impl
-
The configuration associated with
ClassificationMetrics- this class contains metadata needed for exposing metrics correctly forClassificationMetrics - 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
MultiOutputAdapterfor 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
SchematoRegressionOutputrepresenting real valued output. - RegressionOutputAdapter(Schema) - Constructor for class ai.konduit.serving.output.adapter.RegressionOutputAdapter
-
Create the output adapter with the output inputSchema
- RESOURCE - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- Routable - Interface in ai.konduit.serving.verticles
-
An interface representing an object with a
Routerinstance and aVertxinstance - 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
Routerassociated 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, int) - Constructor for class ai.konduit.serving.output.adapter.SSDOutputAdapter
- SSDOutputAdapter(double, InputStream, int) - Constructor for class ai.konduit.serving.output.adapter.SSDOutputAdapter
- SSDOutputAdapter(double, Labels, int) - Constructor for class ai.konduit.serving.output.adapter.SSDOutputAdapter
- start(Promise<Void>) - Method in class ai.konduit.serving.verticles.base.BaseRoutableVerticle
- STDDEV_NOPOP - ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType
- STDDEV_POP - ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType
- stop(Promise<Void>) - Method in class ai.konduit.serving.verticles.base.BaseRoutableVerticle
- STRING - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- SUM - ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType
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
- UINT16 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- UINT32 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- UINT64 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- UINT8 - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- 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.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.TensorDataType
-
Deprecated.Returns an array containing the constants of this enum type, in the order they are declared.
- VARIANCE_NOPOP - ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType
- VARIANCE_POP - ai.konduit.serving.config.metrics.impl.RegressionMetricsConfig.SampleType
- VARIANT - ai.konduit.serving.model.TensorDataType
-
Deprecated.
- 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
Vertxinstance 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
Writablefrom the given value If an input type is invalid, anIllegalArgumentExceptionwill be thrown - WritableValueRetriever - Class in ai.konduit.serving.util
-
Utilities for datavec's
Writablethis just perform basic conversion between unknown objects andWritabletypes. - 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) - Constructor for class ai.konduit.serving.output.adapter.YOLOOutputAdapter
- YOLOOutputAdapter(double, int[], Labels, int, double[][]) - Constructor for class ai.konduit.serving.output.adapter.YOLOOutputAdapter
- YOLOOutputAdapter(double, InputStream, int) - Constructor for class ai.konduit.serving.output.adapter.YOLOOutputAdapter
- YOLOOutputAdapter(double, Labels, int) - Constructor for class ai.konduit.serving.output.adapter.YOLOOutputAdapter
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