LostTech.TensorFlow : API Documentation

Type bijectors

Namespace tensorflow.contrib.distributions.bijectors

Methods

Properties

Fields

Public static methods

object masked_autoregressive_default_template(object hidden_layers, bool shift_only, ImplicitContainer<T> activation, double log_scale_min_clip, double log_scale_max_clip, bool log_scale_clip_gradient, string name, Object[] args)

object masked_autoregressive_default_template(object hidden_layers, bool shift_only, ImplicitContainer<T> activation, double log_scale_min_clip, double log_scale_max_clip, bool log_scale_clip_gradient, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_autoregressive_default_template_dyn(object hidden_layers, ImplicitContainer<T> shift_only, ImplicitContainer<T> activation, ImplicitContainer<T> log_scale_min_clip, ImplicitContainer<T> log_scale_max_clip, ImplicitContainer<T> log_scale_clip_gradient, object name, Object[] args)

object masked_autoregressive_default_template_dyn(object hidden_layers, ImplicitContainer<T> shift_only, ImplicitContainer<T> activation, ImplicitContainer<T> log_scale_min_clip, ImplicitContainer<T> log_scale_max_clip, ImplicitContainer<T> log_scale_clip_gradient, object name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, Dimension units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, Dimension units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IGraphNodeBase inputs, int units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, int units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IGraphNodeBase inputs, int units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, int units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IGraphNodeBase inputs, int units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, object units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IGraphNodeBase inputs, object units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, Dimension units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IGraphNodeBase inputs, object units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, object units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IGraphNodeBase inputs, object units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, object units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IGraphNodeBase inputs, int units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IGraphNodeBase inputs, Dimension units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, Dimension units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, Dimension units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, Dimension units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, Dimension units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, Dimension units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, Dimension units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, Dimension units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, int units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IGraphNodeBase inputs, Dimension units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, int units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, int units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, int units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, int units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, object units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, object units, Dimension num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, object units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, object units, TensorShape num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, object units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, object units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, Object[] args)

object masked_dense(IEnumerable<IGraphNodeBase> inputs, int units, int num_blocks, bool exclusive, Initializer kernel_initializer, object reuse, string name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense_dyn(object inputs, object units, object num_blocks, ImplicitContainer<T> exclusive, object kernel_initializer, object reuse, object name, IDictionary<string, object> kwargs, Object[] args)

object masked_dense_dyn(object inputs, object units, object num_blocks, ImplicitContainer<T> exclusive, object kernel_initializer, object reuse, object name, Object[] args)

object real_nvp_default_template(object hidden_layers, bool shift_only, ImplicitContainer<T> activation, string name, IDictionary<string, object> kwargs, Object[] args)

object real_nvp_default_template(object hidden_layers, bool shift_only, ImplicitContainer<T> activation, string name, Object[] args)

object real_nvp_default_template_dyn(object hidden_layers, ImplicitContainer<T> shift_only, ImplicitContainer<T> activation, object name, IDictionary<string, object> kwargs, Object[] args)

object real_nvp_default_template_dyn(object hidden_layers, ImplicitContainer<T> shift_only, ImplicitContainer<T> activation, object name, Object[] args)

Public properties

PythonFunctionContainer AbsoluteValue_fn get;

PythonFunctionContainer Affine_fn get;

PythonFunctionContainer AffineLinearOperator_fn get;

PythonFunctionContainer AffineScalar_fn get;

PythonFunctionContainer BatchNormalization_fn get;

PythonFunctionContainer Chain_fn get;

PythonFunctionContainer CholeskyOuterProduct_fn get;

PythonFunctionContainer ConditionalBijector_fn get;

PythonFunctionContainer FillTriangular_fn get;

PythonFunctionContainer Gumbel_fn get;

PythonFunctionContainer Inline_fn get;

PythonFunctionContainer Invert_fn get;

PythonFunctionContainer Kumaraswamy_fn get;

PythonFunctionContainer masked_autoregressive_default_template_fn get;

PythonFunctionContainer masked_dense_fn get;

PythonFunctionContainer MaskedAutoregressiveFlow_fn get;

PythonFunctionContainer MatrixInverseTriL_fn get;

PythonFunctionContainer Ordered_fn get;

PythonFunctionContainer Permute_fn get;

PythonFunctionContainer PowerTransform_fn get;

PythonFunctionContainer real_nvp_default_template_fn get;

PythonFunctionContainer RealNVP_fn get;

PythonFunctionContainer Reshape_fn get;

PythonFunctionContainer ScaleTriL_fn get;

PythonFunctionContainer Sigmoid_fn get;

PythonFunctionContainer SinhArcsinh_fn get;

PythonFunctionContainer SoftmaxCentered_fn get;

PythonFunctionContainer Softplus_fn get;

PythonFunctionContainer Softsign_fn get;

PythonFunctionContainer Square_fn get;

PythonFunctionContainer TransformDiagonal_fn get;

Public fields

string MASK_INCLUSIVE

return string

string MASK_EXCLUSIVE

return string