Outliers filter. More...
#include <SampleFilter.h>
Inheritance diagram for OutlierSampleFilter:
Public Member Functions | |
| OutlierSampleFilter () | |
| constructor | |
| int | _learn (MedSamples &samples) |
| Learning : check outlier-detection method and call appropriate learner (iterative/quantile) | |
| int | iterativeLearn (MedSamples &samples) |
| Learning : learn outliers using MedValueCleaner's iterative approximation of moments. | |
| int | quantileLearn (MedSamples &samples) |
| Learning : learn outliers using MedValueCleaner's quantile appeoximation of moments. | |
| void | get_values (MedSamples &samples, vector< float > &values) |
| Helper for learning - extract all outcomes from samples. | |
| int | _filter (MedSamples &inSamples, MedSamples &outSamples) |
| Filter without repository. | |
| int | init (map< string, string > &mapper) |
| init from map | |
| void | init_defaults () |
| init to defaults | |
 Public Member Functions inherited from SampleFilter | |
| virtual int | init (void *params) |
| initialize from a params object : Should be implemented for inheriting classes that have parameters | |
| virtual int | _learn (MedRepository &rep, MedSamples &samples) |
| learn with repository : Should be implemented for inheriting classes that learn parameters using Repository information | |
| virtual int | learn (MedRepository &rep, MedSamples &samples) |
| learn with repository | |
| virtual int | learn (MedSamples &samples) |
| learn without repository | |
| virtual int | _filter (MedRepository &rep, MedSamples &inSamples, MedSamples &outSamples) |
| filter with repository : Should be implemented for inheriting classes that filter using Repository information | |
| virtual int | filter (MedRepository &rep, MedSamples &inSamples, MedSamples &outSamples) |
| filter with repository | |
| int | filter (MedRepository &rep, MedSamples &samples) |
| in-place filtering with repository | |
| virtual int | filter (MedSamples &inSamples, MedSamples &outSamples) |
| filter without repository : Should be implemented for all inheriting classes | |
| int | filter (MedSamples &samples) |
| in-place filtering without repository | |
| virtual void | get_required_signals (vector< string > &req_sigs) |
| Get all signals required for filtering : Should be implemented for inheriting classes that filter using Repository information. | |
| virtual void * | new_polymorphic (string derived_class_name) |
| for polymorphic classes that want to be able to serialize/deserialize a pointer * to the derived class given its type one needs to implement this function to return a new to the derived class given its type (as in my_type) | |
| size_t | get_filter_size () |
| get size of filter + filter_type | |
| size_t | filter_serialize (unsigned char *blob) |
| seialize filter + filter_type | |
| Public Member Functions inherited from SerializableObject | |
| virtual int | version () const |
| Relevant for serializations. | |
| virtual string | my_class_name () const |
| For better handling of serializations it is highly recommended that each SerializableObject inheriting class will implement the next method. | |
| virtual void | serialized_fields_name (vector< string > &field_names) const |
| The names of the serialized fields. | |
| virtual void | pre_serialization () |
| virtual void | post_deserialization () |
| virtual size_t | get_size () |
| Gets bytes sizes for serializations. | |
| virtual size_t | serialize (unsigned char *blob) |
| Serialiazing object to blob memory. return number ob bytes wrote to memory. | |
| virtual size_t | deserialize (unsigned char *blob) |
| Deserialiazing blob to object. returns number of bytes read. | |
| size_t | serialize_vec (vector< unsigned char > &blob) |
| size_t | deserialize_vec (vector< unsigned char > &blob) |
| virtual size_t | serialize (vector< unsigned char > &blob) |
| virtual size_t | deserialize (vector< unsigned char > &blob) |
| virtual int | read_from_file (const string &fname) |
| read and deserialize model | |
| virtual int | write_to_file (const string &fname) |
| serialize model and write to file | |
| virtual int | read_from_file_unsafe (const string &fname) |
| read and deserialize model without checking version number - unsafe read | |
| int | init_from_string (string init_string) |
| Init from string. | |
| int | init_params_from_file (string init_file) |
| int | init_param_from_file (string file_str, string ¶m) |
| int | update_from_string (const string &init_string) |
| virtual int | update (map< string, string > &map) |
| Virtual to update object from parsed fields. | |
| virtual string | object_json () const |
| Public Member Functions inherited from MedValueCleaner | |
| int | get_quantile_min_max (vector< float > &values) |
| Learning. | |
| int | get_iterative_min_max (vector< float > &values) |
| int | init (void *params) |
| int | init (map< string, string > &mapper) |
| The parsed fields from init command. | |
| ValueCleanerType | get_cleaner_type (string name) |
| Get Type. | |
| MedValueCleaner () | |
| default ctor: | |
Additional Inherited Members | |
| Static Public Member Functions inherited from SampleFilter | |
| static SampleFilter * | make_filter (string name) |
| create a new sample filter from name | |
| static SampleFilter * | make_filter (SampleFilterTypes type) |
| create a new sample filter from type | |
| static SampleFilter * | make_filter (string name, string params) |
| create a new sample filter from name and a parameters string | |
| static SampleFilter * | make_filter (SampleFilterTypes type, string params) |
| create a new sample filter from type and a parameters string | |
| Data Fields inherited from SampleFilter | |
| SampleFilterTypes | filter_type |
| The type of the filter. | |
| Data Fields inherited from MedValueCleaner | |
| ValueCleanerParams | params |
| Learning parameters. | |
| float | trimMax |
| Thresholds for trimming. | |
| float | trimMin |
| float | removeMax |
| Thresholds for removing. | |
| float | removeMin |
| float | nbrsMax |
| Thresholds for neighbors. | |
| float | nbrsMin |
| int | num_samples_after_cleaning |
Detailed Description
Outliers filter.
- A filter that remove samples with outlier-outcomes (suitable for regression)
Outliers detection is done using MedValueCleaner's methods (through inheritance)
Member Function Documentation
◆ _filter()
|
virtual |
Filter without repository.
Implements SampleFilter.
◆ _learn()
|
virtual |
Learning : check outlier-detection method and call appropriate learner (iterative/quantile)
Reimplemented from SampleFilter.
◆ init()
|
inlinevirtual |
init from map
Reimplemented from SampleFilter.
◆ init_defaults()
|
inlinevirtual |
init to defaults
Reimplemented from SampleFilter.
The documentation for this class was generated from the following files:
- Internal/MedProcessTools/MedProcessTools/SampleFilter.h
- Internal/MedProcessTools/MedProcessTools/SampleFilter.cpp
