LostTech.TensorFlow : API Documentation

Type losses

Namespace tensorflow.contrib.boosted_trees.utils.losses

Public static methods

ValueTuple<object, object> per_example_exp_loss(IGraphNodeBase labels, IGraphNodeBase weights, IGraphNodeBase predictions, string name, double eps)

ValueTuple<object, object> per_example_exp_loss(IndexedSlices labels, IGraphNodeBase weights, IGraphNodeBase predictions, string name, double eps)

ValueTuple<object, object> per_example_exp_loss(ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IGraphNodeBase predictions, string name, double eps)

object per_example_exp_loss_dyn(object labels, object weights, object predictions, object name, ImplicitContainer<T> eps)

ValueTuple<object, object> per_example_full_exp_loss(IndexedSlices labels, object weights, object predictions, string name)

ValueTuple<object, object> per_example_full_exp_loss(ValueTuple<PythonClassContainer, PythonClassContainer> labels, object weights, object predictions, string name)

ValueTuple<object, object> per_example_full_exp_loss(IGraphNodeBase labels, object weights, object predictions, string name)

object per_example_full_exp_loss_dyn(object labels, object weights, object predictions, object name)

ValueTuple<object, object> per_example_logistic_loss(object labels, object weights, object predictions)

object per_example_logistic_loss_dyn(object labels, object weights, object predictions)

ValueTuple<Tensor, object> per_example_maxent_loss(IGraphNodeBase labels, IGraphNodeBase weights, IGraphNodeBase logits, int num_classes, double eps)

object per_example_maxent_loss_dyn(object labels, object weights, object logits, object num_classes, ImplicitContainer<T> eps)

ValueTuple<Tensor, object> per_example_quantile_regression_loss(object labels, IGraphNodeBase weights, object predictions, double quantile)

object per_example_quantile_regression_loss_dyn(object labels, object weights, object predictions, object quantile)

ValueTuple<object, object> per_example_squared_hinge_loss(object labels, object weights, object predictions)

object per_example_squared_hinge_loss_dyn(object labels, object weights, object predictions)

ValueTuple<object, object> per_example_squared_loss(ndarray labels, IGraphNodeBase weights, ndarray predictions)

object per_example_squared_loss_dyn(object labels, object weights, object predictions)

Public properties

PythonFunctionContainer per_example_exp_loss_fn get;

PythonFunctionContainer per_example_full_exp_loss_fn get;

PythonFunctionContainer per_example_logistic_loss_fn get;

PythonFunctionContainer per_example_maxent_loss_fn get;

PythonFunctionContainer per_example_quantile_regression_loss_fn get;

PythonFunctionContainer per_example_squared_hinge_loss_fn get;

PythonFunctionContainer per_example_squared_loss_fn get;