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IMP Reference Guide  2.19.0
The Integrative Modeling Platform
IMP::core::SteepestDescent Class Reference

A simple steepest descent optimizer. More...

#include <IMP/core/SteepestDescent.h>

+ Inheritance diagram for IMP::core::SteepestDescent:

Detailed Description

A simple steepest descent optimizer.

Follow the gradient based on the partial derivatives. Multiply by the current step size. If the score gets worse, reduce the step size. If the score gets better, increase the step size if we are sufficiently far from a score of zero. If the score reaches the threshold, quit.

Definition at line 23 of file SteepestDescent.h.

Public Member Functions

 SteepestDescent (Model *m, std::string name="SteepestDescent%1%")
 
virtual Float do_optimize (unsigned int max_steps) override
 override this function to do actual optimization More...
 
virtual std::string get_type_name () const override
 
virtual ::IMP::VersionInfo get_version_info () const override
 Get information about the module and version of the object. More...
 
void set_maximum_step_size (Float t)
 The maximum step size. More...
 
void set_step_size (Float t)
 The starting step size. More...
 
void set_threshold (Float t)
 Set the minimum gradient threshold. More...
 
- Public Member Functions inherited from IMP::AttributeOptimizer
 AttributeOptimizer (Model *m, std::string name="Optimizer %1%")
 
- Public Member Functions inherited from IMP::Optimizer
 Optimizer (Model *m, std::string name="Optimizer %1%")
 
double get_last_score () const
 Return the score found in the last evaluate. More...
 
ScoringFunctionget_scoring_function () const
 Return the scoring function that is being used. More...
 
bool get_stop_on_good_score () const
 
double optimize (unsigned int max_steps)
 Optimize the model for up to max_steps iterations. More...
 
virtual void set_scoring_function (ScoringFunctionAdaptor sf)
 Set the scoring function to use. More...
 
void set_stop_on_good_score (bool tf)
 
void remove_optimizer_state (OptimizerState *d)
 
void remove_optimizer_states (const OptimizerStates &d)
 
void set_optimizer_states (const OptimizerStates &ps)
 
void set_optimizer_states_order (const OptimizerStates &objs)
 
unsigned int add_optimizer_state (OptimizerState *obj)
 
void add_optimizer_states (const OptimizerStates &objs)
 
void clear_optimizer_states ()
 
unsigned int get_number_of_optimizer_states () const
 
bool get_has_optimizer_states ()
 
OptimizerStateget_optimizer_state (unsigned int i) const
 
OptimizerStates get_optimizer_states () const
 
void erase_optimizer_state (unsigned int i)
 
void reserve_optimizer_states (unsigned int sz)
 
- Public Member Functions inherited from IMP::ModelObject
 ModelObject (Model *m, std::string name)
 
bool get_has_dependencies () const
 Return whether this object has dependencies computed. More...
 
bool get_has_required_score_states () const
 Return whether score states are computed. More...
 
ModelObjectsTemp get_inputs () const
 
ModelObjectsTemps get_interactions () const
 Get the interacting sets induced by this ModelObject. More...
 
Modelget_model () const
 
ModelObjectsTemp get_outputs () const
 
const ScoreStatesTempget_required_score_states () const
 Get the score states that are ancestors of this in the dependency graph. More...
 
void set_has_dependencies (bool tf)
 Either invalidate the dependencies or ensure they are correct. More...
 
void set_has_required_score_states (bool tf)
 Compute the required score states. More...
 
- Public Member Functions inherited from IMP::Object
virtual void clear_caches ()
 
CheckLevel get_check_level () const
 
LogLevel get_log_level () const
 
void set_check_level (CheckLevel l)
 
void set_log_level (LogLevel l)
 Set the logging level used in this object. More...
 
void set_was_used (bool tf) const
 
void show (std::ostream &out=std::cout) const
 
const std::string & get_name () const
 
void set_name (std::string name)
 

Additional Inherited Members

- Public Attributes inherited from IMP::Optimizer
list optimizer_states
 A Python list of OptimizerStates More...
 
- Protected Member Functions inherited from IMP::AttributeOptimizer
double get_width (FloatKey k) const
 
FloatIndexes get_optimized_attributes () const
 
void set_value (FloatIndex fi, double v) const
 
Float get_value (FloatIndex fi) const
 
Float get_derivative (FloatIndex fi) const
 
void set_scaled_value (FloatIndex fi, Float v) const
 
double get_scaled_value (FloatIndex fi) const
 
double get_scaled_derivative (FloatIndex fi) const
 
void clear_range_cache ()
 Clear the cache of range information. Do this at the start of. More...
 
- Protected Member Functions inherited from IMP::Optimizer
virtual ModelObjectsTemp do_get_inputs () const override
 
virtual ModelObjectsTemp do_get_outputs () const override
 don't return anything here to avoid pointless dependencies More...
 
ModelObjectsTemp get_optimizer_state_inputs () const
 
void update_states () const
 Update optimizer states, should be called at each successful step. More...
 
- Protected Member Functions inherited from IMP::ModelObject
virtual ModelObjectsTemps do_get_interactions () const
 
virtual void handle_set_has_required_score_states (bool)
 
- Protected Member Functions inherited from IMP::Object
 Object (std::string name)
 Construct an object with the given name. More...
 
virtual void do_destroy ()
 

Member Function Documentation

virtual Float IMP::core::SteepestDescent::do_optimize ( unsigned int  ns)
overridevirtual

override this function to do actual optimization

Implements IMP::Optimizer.

virtual ::IMP::VersionInfo IMP::core::SteepestDescent::get_version_info ( ) const
overridevirtual

Get information about the module and version of the object.

Reimplemented from IMP::Object.

Definition at line 28 of file SteepestDescent.h.

void IMP::core::SteepestDescent::set_maximum_step_size ( Float  t)

The maximum step size.

Definition at line 35 of file SteepestDescent.h.

void IMP::core::SteepestDescent::set_step_size ( Float  t)

The starting step size.

Definition at line 33 of file SteepestDescent.h.

void IMP::core::SteepestDescent::set_threshold ( Float  t)

Set the minimum gradient threshold.

Definition at line 31 of file SteepestDescent.h.


The documentation for this class was generated from the following file: