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DiSMEC++
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#include <regularizers_imp.h>
Public Member Functions | |
| ElasticNetRegularizer (real_t epsilon, real_t scale, real_t interp, bool ignore_bias=false) | |
| Constructor for a ElasticNet regularizer objective. More... | |
| real_t | point_wise_value (real_t x) const |
| real_t | point_wise_grad (real_t x) const |
| real_t | point_wise_quad (real_t x) const |
Public Member Functions inherited from dismec::objective::PointWiseRegularizer< ElasticNetRegularizer > | |
| PointWiseRegularizer (real_t scale=1, bool ignore_bias=false) | |
| long | num_variables () const noexcept final |
The pointwise regularizer can act on arbitrarily sized vectors, so num_variables() == -1. More... | |
| real_t | value_unchecked (const HashVector &location) override |
| void | hessian_times_direction_unchecked (const HashVector &location, const DenseRealVector &direction, Eigen::Ref< DenseRealVector > target) override |
| void | gradient_unchecked (const HashVector &location, Eigen::Ref< DenseRealVector > target) override |
| void | gradient_at_zero_unchecked (Eigen::Ref< DenseRealVector > target) override |
| void | diag_preconditioner_unchecked (const HashVector &location, Eigen::Ref< DenseRealVector > target) override |
| void | project_to_line_unchecked (const HashVector &location, const DenseRealVector &direction) override |
| real_t | lookup_on_line (real_t a) override |
Looks up the value of the objective on the line defined by the last call to project_to_line(). More... | |
| bool | dont_regularize_bias () const |
| real_t | scale () const |
| Returns the common scale factor for the entire regularizer. More... | |
Public Member Functions inherited from dismec::objective::Objective | |
| Objective () | |
| virtual | ~Objective () noexcept=default |
| real_t | value (const HashVector &location) |
Evaluate the objective at the given location. More... | |
| void | diag_preconditioner (const HashVector &location, Eigen::Ref< DenseRealVector > target) |
| Get precondition to be used in CG optimization. More... | |
| void | project_to_line (const HashVector &location, const DenseRealVector &direction) |
creates a function g such that g(a) = objective(location + a * direction) Use lookup_on_line() to evaluate g. More... | |
| virtual void | declare_vector_on_last_line (const HashVector &location, real_t t) |
| State that the given vector corresponds to a certain position on the line of the last line search. More... | |
| void | gradient_at_zero (Eigen::Ref< DenseRealVector > target) |
| Gets the gradient for location zero. More... | |
| void | gradient (const HashVector &location, Eigen::Ref< DenseRealVector > target) |
Evaluate the gradient at location. More... | |
| void | hessian_times_direction (const HashVector &location, const DenseRealVector &direction, Eigen::Ref< DenseRealVector > target) |
Calculates the product of the Hessian matrix at location with direction. More... | |
| void | gradient_and_pre_conditioner (const HashVector &location, Eigen::Ref< DenseRealVector > gradient, Eigen::Ref< DenseRealVector > pre) |
| Combines the calculation of gradient and pre-conditioner, which may be more efficient in some cases. More... | |
Public Member Functions inherited from dismec::stats::Tracked | |
| Tracked () | |
Default constructor, creates the internal stats::StatisticsCollection. More... | |
| void | register_stat (const std::string &name, std::unique_ptr< Statistics > stat) |
Registers a tracker for the statistics name. More... | |
| std::shared_ptr< StatisticsCollection > | get_stats () const |
Gets an ownership-sharing reference to the StatisticsCollection. More... | |
Private Attributes | |
| real_t | m_Epsilon {1} |
| real_t | m_L1_Factor {0.5} |
| real_t | m_L2_Factor {0.5} |
Additional Inherited Members | |
Protected Member Functions inherited from dismec::stats::Tracked | |
| ~Tracked () | |
| Non-virtual destructor. Declared protected, so we don't accidentally try to do a polymorphic delete. More... | |
| template<class T > | |
| void | record (stat_id_t stat, T &&value) |
Record statistics. This function just forwards all its arguments to the internal StatisticsCollection. More... | |
| void | declare_stat (stat_id_t index, StatisticMetaData meta) |
Declares a new statistics. This function just forwards all its arguments to the internal StatisticsCollection. More... | |
| void | declare_tag (tag_id_t index, std::string name) |
Declares a new tag. This function just forwards all its arguments to the internal StatisticsCollection. More... | |
| template<class... Args> | |
| void | set_tag (tag_id_t tag, long value) |
Set value of tag. This function just forwards all its arguments to the internal StatisticsCollection. More... | |
| template<class... Args> | |
| auto | make_timer (stat_id_t id, Args... args) |
Creates a new ScopeTimer using stats::record_scope_time. More... | |
Definition at line 86 of file regularizers_imp.h.
| ElasticNetRegularizer::ElasticNetRegularizer | ( | real_t | epsilon, |
| real_t | scale, | ||
| real_t | interp, | ||
| bool | ignore_bias = false |
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Constructor for a ElasticNet regularizer objective.
| epsilon | The cutoff point between quadratic and linear behaviour for the L1 part. |
| scale | Global scaling factor for the loss |
| interp | Interpolation factor between L1 and L2 loss. Needs to be between 0 and 1, with 0 resulting in L1 loss and 1 in L2 loss. |
| invalid_argument,if | epsilon < 0. |
Definition at line 89 of file regularizers_imp.cpp.
References m_Epsilon, and THROW_EXCEPTION.
Definition at line 108 of file regularizers_imp.cpp.
Definition at line 118 of file regularizers_imp.cpp.
Definition at line 101 of file regularizers_imp.cpp.
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private |
Definition at line 102 of file regularizers_imp.h.
Referenced by ElasticNetRegularizer().
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private |
Definition at line 103 of file regularizers_imp.h.
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private |
Definition at line 104 of file regularizers_imp.h.