Public static methods
Tensor bincount(int arr, ndarray weights, ValueTuple<PythonClassContainer, PythonClassContainer> minlength, object maxlength, ImplicitContainer<T> dtype, string name)
Tensor bincount(IEnumerable<PythonClassContainer> arr, ndarray weights, ValueTuple<PythonClassContainer, PythonClassContainer> minlength, object maxlength, ImplicitContainer<T> dtype, string name)
Tensor bincount(object arr, ndarray weights, ValueTuple<PythonClassContainer, PythonClassContainer> minlength, object maxlength, ImplicitContainer<T> dtype, string name)
object bincount_dyn(object arr, object weights, object minlength, object maxlength, ImplicitContainer<T> dtype, object name)
Tensor confusion_matrix(double labels, object predictions, ValueTuple<PythonClassContainer, PythonClassContainer> num_classes, object weights, ImplicitContainer<T> dtype, string name)
Tensor confusion_matrix(ValueTuple<PythonClassContainer, PythonClassContainer> labels, object predictions, int num_classes, object weights, ImplicitContainer<T> dtype, string name)
Tensor confusion_matrix(int labels, object predictions, ValueTuple<PythonClassContainer, PythonClassContainer> num_classes, object weights, ImplicitContainer<T> dtype, string name)
Tensor confusion_matrix(ValueTuple<PythonClassContainer, PythonClassContainer> labels, object predictions, ValueTuple<PythonClassContainer, PythonClassContainer> num_classes, object weights, ImplicitContainer<T> dtype, string name)
Tensor confusion_matrix(IEnumerable<int> labels, object predictions, int num_classes, object weights, ImplicitContainer<T> dtype, string name)
Tensor confusion_matrix(IEnumerable<int> labels, object predictions, ValueTuple<PythonClassContainer, PythonClassContainer> num_classes, object weights, ImplicitContainer<T> dtype, string name)
Tensor confusion_matrix(ndarray labels, object predictions, ValueTuple<PythonClassContainer, PythonClassContainer> num_classes, object weights, ImplicitContainer<T> dtype, string name)
Tensor confusion_matrix(double labels, object predictions, int num_classes, object weights, ImplicitContainer<T> dtype, string name)
object confusion_matrix_dyn(object labels, object predictions, object num_classes, object weights, ImplicitContainer<T> dtype, object name)
object count_nonzero(ndarray input, IEnumerable<object> axis, Nullable<bool> keepdims, RaggedTensor dtype, string name)
object count_nonzero(ndarray input, IEnumerable<object> axis, Nullable<bool> keepdims, IGraphNodeBase dtype, string name)
object count_nonzero(ndarray input, int axis, Nullable<bool> keepdims, RaggedTensor dtype, string name)
object count_nonzero(ndarray input, int axis, Nullable<bool> keepdims, IGraphNodeBase dtype, string name)
object count_nonzero(IEnumerable<IGraphNodeBase> input, IEnumerable<object> axis, Nullable<bool> keepdims, RaggedTensor dtype, string name)
object count_nonzero(IEnumerable<IGraphNodeBase> input, IEnumerable<object> axis, Nullable<bool> keepdims, ImplicitContainer<T> dtype, string name)
object count_nonzero(IEnumerable<IGraphNodeBase> input, IEnumerable<object> axis, Nullable<bool> keepdims, IGraphNodeBase dtype, string name)
object count_nonzero(IEnumerable<IGraphNodeBase> input, int axis, Nullable<bool> keepdims, ImplicitContainer<T> dtype, string name)
object count_nonzero(RaggedTensor input, IEnumerable<object> axis, Nullable<bool> keepdims, RaggedTensor dtype, string name)
object count_nonzero(IEnumerable<IGraphNodeBase> input, int axis, Nullable<bool> keepdims, IGraphNodeBase dtype, string name)
object count_nonzero(IEnumerable<IGraphNodeBase> input, int axis, Nullable<bool> keepdims, RaggedTensor dtype, string name)
object count_nonzero_dyn(object input, object axis, object keepdims, ImplicitContainer<T> dtype, object name)
Public properties