ml_classifiers.msg._ClassDataPoint.ClassDataPoint Class Reference

List of all members.

Public Member Functions
def	__init__
def	deserialize
def	deserialize_numpy
def	serialize
def	serialize_numpy
Public Attributes
	point
	target_class
Private Member Functions
def	_get_types
Static Private Attributes
list	__slots__ = ['target_class','point']
string	_full_text
	_has_header = False
string	_md5sum = "46bea2d2ef979a71ef0bfa470e5978ff"
list	_slot_types = ['string','float64[]']
string	_type = "ml_classifiers/ClassDataPoint"

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Detailed Description

Definition at line 8 of file _ClassDataPoint.py.

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Constructor & Destructor Documentation

def ml_classifiers.msg._ClassDataPoint.ClassDataPoint.__init__	(		self,
			args,
			kwds
	)

Constructor. Any message fields that are implicitly/explicitly
set to None will be assigned a default value. The recommend
use is keyword arguments as this is more robust to future message
changes.  You cannot mix in-order arguments and keyword arguments.

The available fields are:
   target_class,point

:param args: complete set of field values, in .msg order
:param kwds: use keyword arguments corresponding to message field names
to set specific fields.

Definition at line 19 of file _ClassDataPoint.py.

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Member Function Documentation

def ml_classifiers.msg._ClassDataPoint.ClassDataPoint._get_types

(

self

)

[private]

internal API method

Definition at line 44 of file _ClassDataPoint.py.

def ml_classifiers.msg._ClassDataPoint.ClassDataPoint.deserialize	(		self,
			str
	)

unpack serialized message in str into this message instance
:param str: byte array of serialized message, ``str``

Definition at line 69 of file _ClassDataPoint.py.

def ml_classifiers.msg._ClassDataPoint.ClassDataPoint.deserialize_numpy	(		self,
			str,
			numpy
	)

unpack serialized message in str into this message instance using numpy for array types
:param str: byte array of serialized message, ``str``
:param numpy: numpy python module

Definition at line 117 of file _ClassDataPoint.py.

def ml_classifiers.msg._ClassDataPoint.ClassDataPoint.serialize	(		self,
			buff
	)

serialize message into buffer
:param buff: buffer, ``StringIO``

Definition at line 50 of file _ClassDataPoint.py.

def ml_classifiers.msg._ClassDataPoint.ClassDataPoint.serialize_numpy	(		self,
			buff,
			numpy
	)

serialize message with numpy array types into buffer
:param buff: buffer, ``StringIO``
:param numpy: numpy python module

Definition at line 97 of file _ClassDataPoint.py.

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Member Data Documentation

list ml_classifiers::msg::_ClassDataPoint.ClassDataPoint::__slots__ = ['target_class','point'] [static, private]

Definition at line 16 of file _ClassDataPoint.py.

string ml_classifiers::msg::_ClassDataPoint.ClassDataPoint::_full_text [static, private]

Initial value:

"""string target_class
float64[] point

"""

Definition at line 12 of file _ClassDataPoint.py.

ml_classifiers::msg::_ClassDataPoint.ClassDataPoint::_has_header = False [static, private]

Definition at line 11 of file _ClassDataPoint.py.

string ml_classifiers::msg::_ClassDataPoint.ClassDataPoint::_md5sum = "46bea2d2ef979a71ef0bfa470e5978ff" [static, private]

Definition at line 9 of file _ClassDataPoint.py.

list ml_classifiers::msg::_ClassDataPoint.ClassDataPoint::_slot_types = ['string','float64[]'] [static, private]

Definition at line 17 of file _ClassDataPoint.py.

string ml_classifiers::msg::_ClassDataPoint.ClassDataPoint::_type = "ml_classifiers/ClassDataPoint" [static, private]

Definition at line 10 of file _ClassDataPoint.py.

ml_classifiers::msg::_ClassDataPoint.ClassDataPoint::point

Definition at line 31 of file _ClassDataPoint.py.

ml_classifiers::msg::_ClassDataPoint.ClassDataPoint::target_class

Definition at line 31 of file _ClassDataPoint.py.

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

• _ClassDataPoint.py