Medial Code Documentation
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Public Member Functions | Data Fields
MedQRFParams Struct Reference
Inheritance diagram for MedQRFParams:
SerializableObject

Public Member Functions

 ADD_SERIALIZATION_FUNCS (ntrees, maxq, learn_nthreads, predict_nthreads, type, max_samp, samp_factor, samp_vec, ntry, get_only_this_categ, max_depth, take_all_samples, spread, keep_all_values, sparse_values, min_node, n_categ, collect_oob, get_count, quantiles) void post_deserialization()
 
- 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 * new_polymorphic (string derived_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)
 
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 &param)
 
virtual int init (map< string, string > &map)
 Virtual to init object from parsed fields.
 
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
 

Data Fields

int ntrees
 
int maxq
 
int learn_nthreads
 
int predict_nthreads
 
QRF_TreeType type
 
int max_samp
 M if > 0 & sampsize is NULL : the maximal sampsize we will take from each category.
 
float samp_factor
 if > 0 & sampsize if NULL : the maximal factor of samples between the 2 largest categories
 
vector< int > samp_vec
 to be used when sampsize is NULL and max_samp,samp_vector > 0
 
int * sampsize
 
int ntry
 if ntry <= 0: ntry = (int)(sqrt((double)nfeat) + 1.0);
 
int get_only_this_categ
 
int max_depth
 maximial depth of tree branches - if 0 no limit
 
bool take_all_samples
 use all samples - no sampling in building tree
 
float spread
 
bool keep_all_values
 For quantile regression.
 
bool sparse_values
 For keeping all values as a value-index(int):count(char) vector.
 
int min_node
 
int n_categ
 
int collect_oob
 
int get_count
 
vector< float > quantiles
 For quantile regression.
 

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