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PyMVPA: Python MultiVariate Pattern Analysis
Package mvpa :: Package datasets :: Module base :: Class _Dataset
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Class _Dataset

source code

The successor of Dataset.
Nested Classes [hide private]

Inherited from misc.state.ClassWithCollections: __metaclass__

Instance Methods [hide private]
 
__init__(self, samples, sa=None, fa=None, dsa=None)
This is the generic internal constructor. Its main task is to allow for a maximum level of customization during dataset construction, including fast copy construction.		 source code
 
getNSamples(self)
Currently available number of patterns.		 source code
 
getNFeatures(self)
Number of features per pattern.		 source code

Inherited from misc.state.ClassWithCollections: __getattribute__, __new__, __repr__, __setattr__, __str__, reset

Inherited from object: __delattr__, __format__, __hash__, __reduce__, __reduce_ex__, __sizeof__, __subclasshook__

Class Methods [hide private]
 
initSimple(klass, samples, labels, chunks)
One line summary.		 source code
Class Variables [hide private]
  sa = None
hash(x)
  fa = None
hash(x)
  dsa = None
hash(x)
  samples = None
hash(x)

Inherited from misc.state.ClassWithCollections: _DEV__doc__, descr

Properties [hide private]

Inherited from object: __class__

Method Details [hide private]

__init__(self, samples, sa=None, fa=None, dsa=None)
(Constructor)

source code 

This is the generic internal constructor. Its main task is to allow for a maximum level of customization during dataset construction, including fast copy construction.

Parameters

samples : ndarray
Data samples.
sa : Collection
Samples attributes collection.
fa : Collection
Features attributes collection.
dsa : Collection
Dataset attributes collection.
Overrides: object.__init__

initSimple(klass, samples, labels, chunks)
Class Method

source code 

One line summary.

Long description.

Parameters

samples : ndarray
The two-dimensional samples matrix.

labels : ndarray chunks : ndarray

Returns

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Notes

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See Also

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Examples

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PyMVPA: Python MultiVariate Pattern Analysis
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