chore(deps): update dependency org.jetbrains.kotlinx:kotlin-deeplearning-api to v0.6.0-alpha-1 #496
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This PR contains the following updates:
0.5.2
->0.6.0-alpha-1
Release Notes
Kotlin/kotlindl (org.jetbrains.kotlinx:kotlin-deeplearning-api)
v0.6.0-alpha-1
Compare Source
API changes:
InferenceModel
interface:Extensions
org.jetbrains.kotlinx.dl.impl.inference.imagerecognition.PredictionKt.predictLabel
andorg.jetbrains.kotlinx.dl.impl.inference.imagerecognition.PredictionKt.predictProbabilities
were added for classification. #515InferenceModel#resultConverter
to process inference results. #515reshape
was removed, in favor of prediction methods receiving input asFloatData
containing input shape information. #513copy
function. #503SavedModel#predict
withorg.jetbrains.kotlinx.dl.dataset.InferenceModelExtensionsKt.predict
extension. #515predictionFunction
parameter to theorg.jetbrains.kotlinx.dl.dataset.InferenceModelExtensionsKt.predict
andorg.jetbrains.kotlinx.dl.dataset.InferenceModelExtensionsKt.evaluate
extension functions. #515Dataset.getX
function toFloatData
.TensorShape
parameter toDataBatch
andOnHeapDataset
constructors.OnHeapDataset.Companion#createTrainAndTestDatasets
,OnHeapDataset.Companion#create(String, String, int, Function1<String,float[][]>, Function2<String,Integer,float[]>)
,OnHeapDataset.Companion#create(Function0<float[][]>, Function0<float[]>)
functions.TFModels.CVnoTop
and
ONNXModels.CVnoTop
). #511implement
InferenceModel
. #509SavingFormat
to a class and addedisKerasFullyCompatible
parameterto
SavingFormat.JsonConfigCustomVariables
. #501OnnxInferenceModel
. #417Configuration
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