Public static methods
IContextManager<T> check_per_example_loss_rank(ValueTuple<PythonClassContainer, PythonClassContainer> per_example_loss)
object check_per_example_loss_rank_dyn(object per_example_loss)
object scale_losses_by_sample_weight(ValueTuple<PythonClassContainer, PythonClassContainer> losses, int sample_weight)
object scale_losses_by_sample_weight(ValueTuple<PythonClassContainer, PythonClassContainer> losses, IGraphNodeBase sample_weight)
object scale_losses_by_sample_weight(ValueTuple<PythonClassContainer, PythonClassContainer> losses, object sample_weight)
object scale_losses_by_sample_weight(IndexedSlices losses, double sample_weight)
object scale_losses_by_sample_weight(IndexedSlices losses, IEnumerable<double> sample_weight)
object scale_losses_by_sample_weight(IndexedSlices losses, ValueTuple<PythonClassContainer, PythonClassContainer> sample_weight)
object scale_losses_by_sample_weight(IndexedSlices losses, int sample_weight)
object scale_losses_by_sample_weight(IndexedSlices losses, object sample_weight)
object scale_losses_by_sample_weight(ValueTuple<PythonClassContainer, PythonClassContainer> losses, TensorArray sample_weight)
object scale_losses_by_sample_weight(IGraphNodeBase losses, double sample_weight)
object scale_losses_by_sample_weight(IGraphNodeBase losses, IEnumerable<double> sample_weight)
object scale_losses_by_sample_weight(IGraphNodeBase losses, ValueTuple<PythonClassContainer, PythonClassContainer> sample_weight)
object scale_losses_by_sample_weight(IGraphNodeBase losses, int sample_weight)
object scale_losses_by_sample_weight(ValueTuple<PythonClassContainer, PythonClassContainer> losses, IndexedSlices sample_weight)
object scale_losses_by_sample_weight(ValueTuple<PythonClassContainer, PythonClassContainer> losses, IEnumerable<double> sample_weight)
object scale_losses_by_sample_weight(IGraphNodeBase losses, object sample_weight)
object scale_losses_by_sample_weight(ValueTuple<PythonClassContainer, PythonClassContainer> losses, double sample_weight)
object scale_losses_by_sample_weight(IEnumerable<int> losses, object sample_weight)
object scale_losses_by_sample_weight(IEnumerable<int> losses, IGraphNodeBase sample_weight)
object scale_losses_by_sample_weight(IEnumerable<int> losses, int sample_weight)
object scale_losses_by_sample_weight(IEnumerable<int> losses, TensorArray sample_weight)
object scale_losses_by_sample_weight(IEnumerable<int> losses, IndexedSlices sample_weight)
object scale_losses_by_sample_weight(IEnumerable<int> losses, ValueTuple<PythonClassContainer, PythonClassContainer> sample_weight)
object scale_losses_by_sample_weight(IEnumerable<int> losses, IEnumerable<double> sample_weight)
object scale_losses_by_sample_weight(IEnumerable<int> losses, double sample_weight)
object scale_losses_by_sample_weight(ValueTuple<PythonClassContainer, PythonClassContainer> losses, ValueTuple<PythonClassContainer, PythonClassContainer> sample_weight)
object scale_losses_by_sample_weight_dyn(object losses, object sample_weight)
ValueTuple<object, object> squeeze_or_expand_dimensions(object y_pred, object y_true, IEnumerable<object> sample_weight)
ValueTuple<object, object> squeeze_or_expand_dimensions(object y_pred, IEnumerable<object> y_true, object sample_weight)
ValueTuple<object, object> squeeze_or_expand_dimensions(object y_pred, IEnumerable<object> y_true, IEnumerable<object> sample_weight)
ValueTuple<object, object> squeeze_or_expand_dimensions(PythonClassContainer y_pred, object y_true, object sample_weight)
ValueTuple<object, object> squeeze_or_expand_dimensions(PythonClassContainer y_pred, object y_true, IEnumerable<object> sample_weight)
ValueTuple<object, object> squeeze_or_expand_dimensions(PythonClassContainer y_pred, IEnumerable<object> y_true, object sample_weight)
ValueTuple<object, object> squeeze_or_expand_dimensions(PythonClassContainer y_pred, IEnumerable<object> y_true, IEnumerable<object> sample_weight)
ValueTuple<object, object> squeeze_or_expand_dimensions(object y_pred, object y_true, object sample_weight)
object squeeze_or_expand_dimensions_dyn(object y_pred, object y_true, object sample_weight)
Public properties