org.nd4j.linalg.factory.BlasWrapper.axpy(double, INDArray, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.axpy(float, INDArray, INDArray) |
org.nd4j.linalg.api.ndarray.BaseNDArray.cleanup() |
org.tensorflow.framework.GraphDef.Builder.clearVersion() |
org.nd4j.linalg.api.rng.distribution.impl.TruncatedNormalDistribution.cumulativeProbability(double, double)
|
org.nd4j.linalg.api.rng.distribution.impl.ConstantDistribution.cumulativeProbability(double, double)
|
org.nd4j.linalg.api.rng.distribution.impl.NormalDistribution.cumulativeProbability(double, double)
|
org.nd4j.linalg.api.rng.distribution.impl.OrthogonalDistribution.cumulativeProbability(double, double)
|
org.nd4j.linalg.api.rng.distribution.impl.LogNormalDistribution.cumulativeProbability(double, double)
|
org.nd4j.linalg.api.rng.distribution.Distribution.cumulativeProbability(double, double)
|
org.nd4j.linalg.dataset.api.DataSet.dataSetBatches(int)
|
org.nd4j.linalg.factory.BlasWrapper.gemm(double, INDArray, INDArray, double, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.gemm(float, INDArray, INDArray, float, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.gemm(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) |
org.nd4j.linalg.factory.BlasWrapper.gemv(double, INDArray, INDArray, double, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.gemv(float, INDArray, INDArray, float, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.gemv(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexDouble, IComplexNDArray) |
org.nd4j.linalg.factory.BlasWrapper.gemv(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexFloat, IComplexNDArray) |
org.nd4j.linalg.factory.BlasWrapper.gemv(IComplexNumber, IComplexNDArray, IComplexNDArray, IComplexNumber, IComplexNDArray) |
org.nd4j.linalg.factory.BlasWrapper.ger(double, INDArray, INDArray, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.gerc(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) |
org.nd4j.linalg.factory.BlasWrapper.gerc(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) |
org.nd4j.linalg.factory.BlasWrapper.geru(IComplexDouble, IComplexNDArray, IComplexNDArray, IComplexNDArray) |
org.nd4j.linalg.factory.BlasWrapper.geru(IComplexFloat, IComplexNDArray, IComplexNDArray, IComplexNDArray) |
org.tensorflow.framework.NodeDef.getAttr() |
org.tensorflow.framework.NodeDef.Builder.getAttr() |
org.tensorflow.framework.FunctionDefOrBuilder.getAttr() |
org.tensorflow.framework.NameAttrList.getAttr() |
org.tensorflow.framework.NameAttrList.Builder.getAttr() |
org.tensorflow.framework.FunctionDef.getAttr() |
org.tensorflow.framework.FunctionDef.Builder.getAttr() |
org.tensorflow.framework.NameAttrListOrBuilder.getAttr() |
org.tensorflow.framework.NodeDefOrBuilder.getAttr() |
org.nd4j.linalg.dataset.DataSet.getColumnNames() |
org.nd4j.linalg.dataset.api.DataSet.getFeatureMatrix()
|
org.nd4j.linalg.dataset.DataSet.getLabelNames() |
org.nd4j.linalg.dataset.api.DataSet.getLabelNames() |
org.tensorflow.framework.NodeDef.Builder.getMutableAttr() |
org.tensorflow.framework.NameAttrList.Builder.getMutableAttr() |
org.tensorflow.framework.FunctionDef.Builder.getMutableAttr() |
org.tensorflow.framework.FunctionDef.Builder.getMutableRet() |
org.tensorflow.framework.FunctionDefOrBuilder.getRet() |
org.tensorflow.framework.FunctionDef.getRet() |
org.tensorflow.framework.FunctionDef.Builder.getRet() |
org.tensorflow.framework.GraphDefOrBuilder.getVersion() |
org.tensorflow.framework.GraphDef.getVersion() |
org.tensorflow.framework.GraphDef.Builder.getVersion() |
org.nd4j.linalg.api.ndarray.BaseNDArray.index(int, int) |
org.nd4j.linalg.api.ndarray.BaseNDArray.isCleanedUp() |
org.nd4j.linalg.api.rng.distribution.Distribution.isSupportLowerBoundInclusive()
|
org.nd4j.linalg.api.rng.distribution.Distribution.isSupportUpperBoundInclusive()
|
org.nd4j.linalg.api.ndarray.BaseNDArray.isValid() |
org.nd4j.linalg.api.ndarray.BaseNDArray.isWrapAround() |
org.nd4j.linalg.dataset.api.DataSet.iterateWithMiniBatches() |
org.nd4j.linalg.api.ndarray.BaseNDArray.linearIndex(int) |
org.nd4j.linalg.api.ndarray.BaseNDArray.linearViewColumnOrder() |
org.nd4j.linalg.api.ndarray.BaseNDArray.majorStride() |
org.nd4j.linalg.dataset.DataSet.normalizeZeroMeanZeroUnitVariance() |
org.nd4j.linalg.dataset.api.DataSet.normalizeZeroMeanZeroUnitVariance()
|
org.nd4j.linalg.api.shape.Shape.offset(DataBuffer) |
org.nd4j.linalg.api.shape.Shape.offset(int[]) |
org.nd4j.linalg.convolution.Convolution.outSize(int, int, int, int, int, boolean) |
org.nd4j.linalg.profiler.OpProfiler.processBlasCall(String) |
org.nd4j.linalg.factory.Nd4j.readTxt(String, String) |
org.nd4j.linalg.factory.Nd4j.readTxtString(InputStream, String) |
org.nd4j.linalg.dataset.api.preprocessor.NormalizerMinMaxScaler.save(File...)
|
org.nd4j.linalg.dataset.api.preprocessor.NormalizerStandardize.save(File...)
|
org.nd4j.linalg.dataset.api.preprocessor.MultiNormalizerStandardize.save(List<File>, List<File>)
|
org.nd4j.linalg.factory.BlasWrapper.saxpy(double, INDArray, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.saxpy(float, INDArray, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.scal(double, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.scal(float, INDArray) |
org.nd4j.linalg.factory.BlasWrapper.scal(IComplexDouble, IComplexNDArray) |
org.nd4j.linalg.factory.BlasWrapper.scal(IComplexFloat, IComplexNDArray) |
org.nd4j.linalg.api.ndarray.BaseNDArray.secondaryStride() |
org.nd4j.linalg.dataset.DataSet.setColumnNames(List<String>) |
org.nd4j.linalg.api.shape.Shape.setOrder(IntBuffer, char) |
org.nd4j.linalg.api.ndarray.INDArray.setShape(int...) |
org.nd4j.linalg.api.ndarray.INDArray.setStride(int...) |
org.tensorflow.framework.GraphDef.Builder.setVersion(int) |
org.nd4j.linalg.api.ndarray.BaseNDArray.setWrapAround(boolean) |
org.nd4j.linalg.factory.BlasWrapper.syevr(char, char, char, INDArray, double, double, int, int, double, INDArray, INDArray, int[]) |
org.nd4j.linalg.factory.BlasWrapper.syevr(char, char, char, INDArray, float, float, int, int, float, INDArray, INDArray, int[]) |
org.nd4j.linalg.dataset.api.DataSetUtil.tailor3d2d(DataSet, boolean) |
org.tensorflow.framework.RemoteFusedGraphExecuteInfo.NodeType.valueOf(int)
|
org.tensorflow.framework.AttrValue.ValueCase.valueOf(int)
|
org.tensorflow.framework.ApiDef.Visibility.valueOf(int)
|
org.tensorflow.framework.DataType.valueOf(int)
|
org.tensorflow.framework.Summary.Value.ValueCase.valueOf(int)
|
org.tensorflow.framework.TensorSliceProto.Extent.HasLengthCase.valueOf(int)
|
org.tensorflow.framework.GraphTransferInfo.Destination.valueOf(int)
|
onnx.OnnxOperatorsProto3.OperatorProto.OperatorStatus.valueOf(int)
|
onnx.OnnxMlProto3.Version.valueOf(int)
|
onnx.OnnxMlProto3.AttributeProto.AttributeType.valueOf(int)
|
onnx.OnnxMlProto3.TensorProto.DataType.valueOf(int)
|
onnx.OnnxMlProto3.TensorShapeProto.Dimension.ValueCase.valueOf(int)
|
onnx.OnnxMlProto3.TypeProto.ValueCase.valueOf(int)
|
onnx.OnnxProto3.Version.valueOf(int)
|
onnx.OnnxProto3.AttributeProto.AttributeType.valueOf(int)
|
onnx.OnnxProto3.TensorProto.DataType.valueOf(int)
|
onnx.OnnxProto3.TensorShapeProto.Dimension.ValueCase.valueOf(int)
|
onnx.OnnxProto3.TypeProto.ValueCase.valueOf(int)
|
org.nd4j.linalg.factory.Nd4j.writeNumpy(INDArray, String, String) |
org.nd4j.linalg.factory.Nd4j.writeTxt(INDArray, String, int)
|
org.nd4j.linalg.factory.Nd4j.writeTxt(INDArray, String, String)
|
org.nd4j.linalg.factory.Nd4j.writeTxt(INDArray, String, String, int)
|
org.nd4j.linalg.factory.Nd4j.writeTxtString(INDArray, OutputStream, int)
|
org.nd4j.linalg.factory.Nd4j.writeTxtString(INDArray, OutputStream, String)
|
org.nd4j.linalg.factory.Nd4j.writeTxtString(INDArray, OutputStream, String, int)
|