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- __builtin__.object
-
- Float32Rotation45
- Float32SeparableConvolution2D
- Grouper
- QMatrix
- QMatrix01
- SparsePooler
- SparsePoolerInputMasks
- TRON
- decision_function
- feature_node
- function
- linear
- model
- parameter
- problem
- sparse_feature_vector
- svm_01
- svm_01_traits
- svm_dense
- svm_model
- svm_parameter
- svm_problem
- svm_problem01
- svm_std_traits
class Float32Rotation45(__builtin__.object) |
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Proxy of C++ Float32Rotation45 class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self) -> Float32Rotation45
- __repr__ = _swig_repr(self)
- rotate(*args)
- rotate(self, original, rotated, nrows, ncols, z)
rotate(self, pyOriginal, pyRotated, nrows, ncols, z)
- round(*args, **kwargs)
- round(self, x) -> float
- unrotate(*args)
- unrotate(self, unrotated, rotated, nrows, ncols, z)
unrotate(self, pyUnrotated, pyRotated, nrows, ncols, z)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- offset_
- scol_
- srow_
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_Float32Rotation45>
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class Float32SeparableConvolution2D(__builtin__.object) |
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Proxy of C++ Float32SeparableConvolution2D class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self) -> Float32SeparableConvolution2D
- __repr__ = _swig_repr(self)
- compute(*args)
- compute(self, data, convolved, rotated45=False)
compute(self, pyData, pyConvolved, rotated45=False)
- getBuffer(*args, **kwargs)
- getBuffer(self, pyBuffer)
- init(*args)
- init(self, nrows, ncols, f1_size, f2_size, f1, f2)
init(self, nrows, ncols, f1_size, f2_size, pyF1, pyF2)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- buffer_
- f1_
- f1_end_
- f1_end_j_
- f1_middle_
- f1_size_
- f2_
- f2_end_
- f2_end_i_
- f2_middle_
- f2_size_
- ncols_
- nrows_
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_Float32SeparableConvolution2D>
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class Grouper(__builtin__.object) |
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Proxy of C++ Grouper class
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Methods defined here:
- AHCGroup(*args, **kwargs)
- AHCGroup(self, nGroups)
- AHCMerges(*args, **kwargs)
- AHCMerges(self) -> PyObject
- __getstate__(*args, **kwargs)
- __getstate__(self) -> string
- __init__(self, *args)
- __init__(self, transitionMemory, topNeighbors, maxNGroups, maxGroupSize,
symmetricTam, overlappingGroups, ahc_lgp,
mode, hot_markovOrder=1, hot_min_cnt2=0,
hot_iterPerStage=0, hot_maxPerStage=0, n_tbis=1) -> Grouper
__init__(self, inStream, n_tbis=1) -> Grouper
- __repr__(*args, **kwargs)
- __repr__(self) -> string
- __setstate__(self, inString)
- __str__(*args, **kwargs)
- __str__(self) -> string
- getAHCLargeGroupPenalty(*args, **kwargs)
- getAHCLargeGroupPenalty(self) -> value_type
- getAHCMerges(*args, **kwargs)
- getAHCMerges(self) -> Merges
- getCollapsedTAM(*args, **kwargs)
- getCollapsedTAM(self) -> IntegerTAM
- getGroups(*args)
- getGroups(self, collapsed=True) -> Groups
getGroups(self, collapsed=True) -> string
- getGroupsString(*args, **kwargs)
- getGroupsString(self, buf, collapsed=True)
- getHistory(*args, **kwargs)
- getHistory(self, baby_idx=0) -> nta::Grouper::IntegerTAM::History
- getMaxGroupSize(*args, **kwargs)
- getMaxGroupSize(self) -> size_type
- getMode(*args, **kwargs)
- getMode(self) -> int
- getModeStr(*args, **kwargs)
- getModeStr(self) -> string
- getNGroups(*args, **kwargs)
- getNGroups(self) -> size_type
- getPyMerges(*args, **kwargs)
- getPyMerges(self) -> PyObject
- getTBICellOutputs(*args, **kwargs)
- getTBICellOutputs(self, grpIdx, tbi_idx=0) -> TBICellOutputs
- getTBIWeights(*args, **kwargs)
- getTBIWeights(self, grpIdx) -> TBICellWeights
- getTam(*args, **kwargs)
- getTam(self) -> IntegerTAM
- getTopNeighbors(*args, **kwargs)
- getTopNeighbors(self) -> size_type
- getTransitionMemory(*args, **kwargs)
- getTransitionMemory(self) -> size_type
- group(*args, **kwargs)
- group(self, counts)
- infer(*args, **kwargs)
- infer(self, py_x, baby_idx=0) -> PyObject
- isOverlappingGroups(*args, **kwargs)
- isOverlappingGroups(self) -> bool
- isTamSymmetric(*args, **kwargs)
- isTamSymmetric(self) -> bool
- learn(*args, **kwargs)
- learn(self, py_x, baby_idx=0) -> PyObject
- load(*args, **kwargs)
- load(self, inString)
- predict(*args)
- predict(self, tbi_idx, ?, future)
predict(self, n_steps, mode, baby_idx=0) -> PyObject
- pruneCoincidences(*args, **kwargs)
- pruneCoincidences(self, toDelete)
- readState(*args, **kwargs)
- readState(self, inStream)
- resetGroups(*args, **kwargs)
- resetGroups(self)
- resetHistory(*args, **kwargs)
- resetHistory(self)
- resetTAM(*args, **kwargs)
- resetTAM(self)
- resetTBIHistory(*args, **kwargs)
- resetTBIHistory(self)
- sampleFromGroup(*args)
- sampleFromGroup(self, grp_idx, ?, initial_dist, future)
sampleFromGroup(self, flag, grp_idx, n_steps) -> PyObject
- saveState(*args, **kwargs)
- saveState(self, outStream)
- setAHCLargeGroupPenalty(*args, **kwargs)
- setAHCLargeGroupPenalty(self, lgp)
- setAHCNGroups(*args, **kwargs)
- setAHCNGroups(self, nGroups)
- setMaxGroupSize(*args, **kwargs)
- setMaxGroupSize(self, mgs)
- setMaxNGroups(*args, **kwargs)
- setMaxNGroups(self, maxNGroups)
- setMode(*args, **kwargs)
- setMode(self, mode)
- setModeFromStr(*args, **kwargs)
- setModeFromStr(self, str)
- setNTBIs(*args, **kwargs)
- setNTBIs(self, n_tbis)
- setOverlappingGroups(*args, **kwargs)
- setOverlappingGroups(self, b)
- setSymmetricTam(*args, **kwargs)
- setSymmetricTam(self, b)
- setTAMFromCSR(*args)
- setTAMFromCSR(self, inStream)
setTAMFromCSR(self, s) -> bool
- setTopNeighbors(*args, **kwargs)
- setTopNeighbors(self, tn)
- setTransitionMemory(*args, **kwargs)
- setTransitionMemory(self, hms)
- tbiOutputs(*args, **kwargs)
- tbiOutputs(self, grp_idx, baby_idx=0) -> PyObject
- tbiWeights(*args, **kwargs)
- tbiWeights(self, grp_idx) -> _SparseMatrix32
Static methods defined here:
- convertMode(*args)
- convertMode(name) -> int
convertMode(mode) -> string
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_Grouper>
- coincidences = 0
- distribution = 0
- groups = 1
- maxProp = 0
- single_path_max = 1
- single_path_sample = 2
- sumProp = 1
- tbi = 2
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class QMatrix(__builtin__.object) |
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Proxy of C++ QMatrix class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self, prob, g, kernel, cache_size) -> QMatrix
- __repr__ = _swig_repr(self)
- dot(*args, **kwargs)
- dot(self, i, j) -> feature_type
- get_Q(*args, **kwargs)
- get_Q(self, i, len) -> float
- get_QD(*args, **kwargs)
- get_QD(self) -> float
- linear_kernel(*args, **kwargs)
- linear_kernel(self, i, j) -> float
- rbf_kernel(*args, **kwargs)
- rbf_kernel(self, i, j) -> float
- swap_index(*args, **kwargs)
- swap_index(self, i, j)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_QMatrix>
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class QMatrix01(__builtin__.object) |
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Proxy of C++ QMatrix01 class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self, prob, g, kernel, cache_size) -> QMatrix01
- __repr__ = _swig_repr(self)
- dot(*args, **kwargs)
- dot(self, i, j) -> feature_type
- get_Q(*args, **kwargs)
- get_Q(self, i, len) -> float
- get_QD(*args, **kwargs)
- get_QD(self) -> float
- linear_kernel(*args, **kwargs)
- linear_kernel(self, i, j) -> float
- rbf_kernel(*args, **kwargs)
- rbf_kernel(self, i, j) -> float
- swap_index(*args, **kwargs)
- swap_index(self, i, j)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_QMatrix01>
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class SparsePooler(__builtin__.object) |
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Proxy of C++ SparsePooler class
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Methods defined here:
- __getstate__(*args, **kwargs)
- __getstate__(self) -> string
- __init__(self, *args)
- __init__(self) -> SparsePooler
__init__(self, inputMasks, normalize, norm, sparsification_mode, inference_mode,
kWinners, threshold, min_accept_distance,
min_accept_norm, sigma) -> SparsePooler
__init__(self, inStream) -> SparsePooler
- __repr__(*args, **kwargs)
- __repr__(self) -> string
- __setstate__(self, inString)
- __str__(*args, **kwargs)
- __str__(self) -> string
- getCoincidenceMatrix(*args, **kwargs)
- getCoincidenceMatrix(self, buf, dense=False)
- getCurrentSparsePoolerVersion(*args, **kwargs)
- getCurrentSparsePoolerVersion(self) -> string
- getDoNormalization(*args, **kwargs)
- getDoNormalization(self) -> size_type
- getInferenceMode(*args, **kwargs)
- getInferenceMode(self) -> size_type
- getInferenceModeStr(*args, **kwargs)
- getInferenceModeStr(self) -> string
- getInputMasks(*args)
- getInputMasks(self) -> SparsePoolerInputMasks
getInputMasks(self) -> SparsePoolerInputMasks
- getKWinners(*args, **kwargs)
- getKWinners(self) -> size_type
- getMinAcceptDistance(*args, **kwargs)
- getMinAcceptDistance(self) -> value_type
- getMinAcceptNorm(*args, **kwargs)
- getMinAcceptNorm(self) -> value_type
- getNPrototypeSizes(*args, **kwargs)
- getNPrototypeSizes(self) -> size_type
- getNPrototypes(*args, **kwargs)
- getNPrototypes(self, i) -> size_type
- getNorm(*args, **kwargs)
- getNorm(self) -> value_type
- getPrototypes(*args, **kwargs)
- getPrototypes(self, i) -> Prototypes
- getSegmentSize(*args, **kwargs)
- getSegmentSize(self) -> size_type
- getSigma(*args, **kwargs)
- getSigma(self) -> value_type
- getSparsificationMode(*args, **kwargs)
- getSparsificationMode(self) -> size_type
- getSparsificationModeStr(*args, **kwargs)
- getSparsificationModeStr(self) -> string
- getThreshold(*args, **kwargs)
- getThreshold(self) -> value_type
- getTotalNPrototypes(*args, **kwargs)
- getTotalNPrototypes(self) -> size_type
- infer(*args, **kwargs)
- infer(self, py_x) -> PyObject
- learn(*args, **kwargs)
- learn(self, py_x) -> PyObject
- load(*args, **kwargs)
- load(self, inString)
- prototypes(*args, **kwargs)
- prototypes(self, i) -> _SparseMatrix32
- readState(*args, **kwargs)
- readState(self, inStream)
- saveState(*args, **kwargs)
- saveState(self, outStream)
- setDoNormalization(*args, **kwargs)
- setDoNormalization(self, flag)
- setInferenceMode(*args, **kwargs)
- setInferenceMode(self, mode)
- setInputMasks(*args, **kwargs)
- setInputMasks(self, masks)
- setKWinners(*args, **kwargs)
- setKWinners(self, kWinners)
- setMinAcceptDistance(*args, **kwargs)
- setMinAcceptDistance(self, d)
- setMinAcceptNorm(*args, **kwargs)
- setMinAcceptNorm(self, d)
- setNorm(*args, **kwargs)
- setNorm(self, lp)
- setSigma(*args, **kwargs)
- setSigma(self, s)
- setSparsificationMode(*args, **kwargs)
- setSparsificationMode(self, mode)
- setThreshold(*args, **kwargs)
- setThreshold(self, threshold)
Static methods defined here:
- convertInferenceMode(*args)
- convertInferenceMode(name) -> int
convertInferenceMode(mode) -> string
- convertSparsificationMode(*args)
- convertSparsificationMode(name) -> int
convertSparsificationMode(mode) -> string
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_SparsePooler>
- dot = 1
- gaussian = 0
- kWinners = 1
- none = 0
- product = 2
- threshold = 2
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class SparsePoolerInputMasks(__builtin__.object) |
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Proxy of C++ SparsePoolerInputMasks class
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Methods defined here:
- __getstate__(*args, **kwargs)
- __getstate__(self) -> string
- __init__(self, *args)
- __init__(self) -> SparsePoolerInputMasks
__init__(self, ss, masks) -> SparsePoolerInputMasks
__init__(self, inStream) -> SparsePoolerInputMasks
- __repr__(*args, **kwargs)
- __repr__(self) -> string
- __setstate__(self, inString)
- __str__(*args, **kwargs)
- __str__(self) -> string
- empty(*args, **kwargs)
- empty(self) -> bool
- load(*args, **kwargs)
- load(self, inString)
- mask(*args, **kwargs)
- mask(self, i) -> Mask
- maxSize(*args, **kwargs)
- maxSize(self) -> size_type
- minSize(*args, **kwargs)
- minSize(self) -> size_type
- nMasks(*args, **kwargs)
- nMasks(self) -> size_type
- ratio(*args, **kwargs)
- ratio(self, i) -> value_type
- readState(*args, **kwargs)
- readState(self, inStream)
- saveState(*args, **kwargs)
- saveState(self, outStream)
- segmentSize(*args, **kwargs)
- segmentSize(self) -> size_type
- size(*args, **kwargs)
- size(self, i) -> size_type
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_SparsePoolerInputMasks>
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class TRON(__builtin__.object) |
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Proxy of C++ TRON class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self, fun_obj, eps=0.1, max_iter=1000) -> TRON
- __repr__ = _swig_repr(self)
- tron(*args, **kwargs)
- tron(self, w)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_TRON>
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class feature_node(__builtin__.object) |
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Proxy of C++ feature_node class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self) -> feature_node
- __repr__ = _swig_repr(self)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- index
- thisown
- The membership flag
- value
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_feature_node>
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class function(__builtin__.object) |
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Proxy of C++ function class
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Methods defined here:
- Hv(*args, **kwargs)
- Hv(self, s, Hs)
- __init__(self)
- __repr__ = _swig_repr(self)
- fun(*args, **kwargs)
- fun(self, w) -> float
- get_nr_variable(*args, **kwargs)
- get_nr_variable(self) -> int
- grad(*args, **kwargs)
- grad(self, w, g)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_function>
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class linear(__builtin__.object) |
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Proxy of C++ linear class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self, solver_type, eps, C, nr_weight=0, weight_label=None,
weight=None) -> linear
- __repr__ = _swig_repr(self)
- create_problem(*args)
- create_problem(self, l, n, y, x, bias=-1.0)
create_problem(self, size, n_dims, labelsIn, samplesIn, bias=-1.0)
- cross_validation(*args)
- cross_validation(self, nr_fold, target)
cross_validation(self, nr_fold, py_target)
- load_model(*args, **kwargs)
- load_model(self, model_file_name)
- predict(*args)
- predict(self, x) -> int
predict(self, py_x) -> int
- predict_probability(*args)
- predict_probability(self, x, prob_estimates) -> int
predict_probability(self, py_x, py_prob_estimates) -> int
- predict_values(*args)
- predict_values(self, x, dec_values) -> int
predict_values(self, py_x, py_dec_values) -> int
- save_model(*args, **kwargs)
- save_model(self, model_file_name) -> int
- train(*args, **kwargs)
- train(self)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- the_model
- the_param
- the_problem
- thisown
- The membership flag
- x_space
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_linear>
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class model(__builtin__.object) |
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Proxy of C++ model class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self) -> model
- __repr__ = _swig_repr(self)
- get_labels(*args, **kwargs)
- get_labels(self, label)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- bias
- label
- nr_class
- nr_feature
- param
- thisown
- The membership flag
- w
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_model>
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class parameter(__builtin__.object) |
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Proxy of C++ parameter class
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Methods defined here:
- __init__(self, *args)
- __init__(self) -> parameter
__init__(self, solver_type_, eps_, C_, nr_weight_=0, weight_label_=None,
weight_=None) -> parameter
- __repr__ = _swig_repr(self)
Data descriptors defined here:
- C
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- eps
- nr_weight
- solver_type
- thisown
- The membership flag
- weight
- weight_label
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_parameter>
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class problem(__builtin__.object) |
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Proxy of C++ problem class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self, l_, n_, bias_) -> problem
- __repr__ = _swig_repr(self)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- bias
- l
- n
- thisown
- The membership flag
- x
- y
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_problem>
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class svm_01(__builtin__.object) |
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Proxy of C++ svm_01 class
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Methods defined here:
- __getstate__(*args, **kwargs)
- __getstate__(self) -> string
- __init__(self, *args, **kwargs)
- __init__(self, kernel=0, n_dims=0, threshold=.9, cache_size=100, shrinking=1,
probability=False) -> svm_01
- __repr__ = _swig_repr(self)
- __setstate__(self, inString)
- add_sample(*args, **kwargs)
- add_sample(self, y_val, x_vector)
- cross_validate(*args, **kwargs)
- cross_validate(self, n_fold, gamma, C, eps) -> float
- discard_problem(*args, **kwargs)
- discard_problem(self)
- get_model(*args, **kwargs)
- get_model(self) -> svm_model
- get_problem(*args, **kwargs)
- get_problem(self) -> svm_problem01
- load(*args)
- load(self, inStream)
load(self, filename)
- loadFromString(*args, **kwargs)
- loadFromString(self, inString)
- predict(*args, **kwargs)
- predict(self, x_vector) -> float
- predict_probability(*args, **kwargs)
- predict_probability(self, x_vector, proba_vector) -> float
- save(*args)
- save(self, outStream)
save(self, filename)
- train(*args, **kwargs)
- train(self, gamma, C, eps)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_svm_01>
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class svm_01_traits(__builtin__.object) |
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Proxy of C++ svm_01_traits class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self) -> svm_01_traits
- __repr__ = _swig_repr(self)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_svm_01_traits>
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class svm_dense(__builtin__.object) |
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Proxy of C++ svm_dense class
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Methods defined here:
- __getstate__(*args, **kwargs)
- __getstate__(self) -> string
- __init__(self, *args, **kwargs)
- __init__(self, kernel=0, n_dims=0, threshold=.9, cache_size=100, shrinking=1,
probability=False) -> svm_dense
- __repr__ = _swig_repr(self)
- __setstate__(self, inString)
- add_sample(*args, **kwargs)
- add_sample(self, y_val, x_vector)
- cross_validate(*args, **kwargs)
- cross_validate(self, n_fold, gamma, C, eps) -> float
- discard_problem(*args, **kwargs)
- discard_problem(self)
- get_model(*args, **kwargs)
- get_model(self) -> svm_model
- get_problem(*args, **kwargs)
- get_problem(self) -> svm_problem
- load(*args)
- load(self, inStream)
load(self, filename)
- loadFromString(*args, **kwargs)
- loadFromString(self, inString)
- predict(*args, **kwargs)
- predict(self, x_vector) -> float
- predict_probability(*args, **kwargs)
- predict_probability(self, x_vector, proba_vector) -> float
- save(*args)
- save(self, outStream)
save(self, filename)
- train(*args, **kwargs)
- train(self, gamma, C, eps)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_svm_dense>
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class svm_model(__builtin__.object) |
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Proxy of C++ svm_model class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self) -> svm_model
- __repr__ = _swig_repr(self)
- get_hyperplanes(*args, **kwargs)
- get_hyperplanes(self) -> PyObject
- get_support_vector_coefficients(*args, **kwargs)
- get_support_vector_coefficients(self, svCoeffIn)
- get_support_vectors(*args, **kwargs)
- get_support_vectors(self, svIn)
- load(*args, **kwargs)
- load(self, inStream)
- n_class(*args, **kwargs)
- n_class(self) -> int
- n_dims(*args, **kwargs)
- n_dims(self) -> int
- save(*args, **kwargs)
- save(self, outStream)
- size(*args, **kwargs)
- size(self) -> int
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- label
- n_dims_
- n_sv
- probA
- probB
- rho
- sv
- sv_coef
- thisown
- The membership flag
- w
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_svm_model>
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class svm_parameter(__builtin__.object) |
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Proxy of C++ svm_parameter class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self, k, p, g, c, e, cs, s) -> svm_parameter
- __repr__ = _swig_repr(self)
- load(*args, **kwargs)
- load(self, inStream)
- save(*args, **kwargs)
- save(self, outStream)
Data descriptors defined here:
- C
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- cache_size
- eps
- gamma
- kernel
- probability
- shrinking
- thisown
- The membership flag
- weight
- weight_label
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_svm_parameter>
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class svm_problem(__builtin__.object) |
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Proxy of C++ svm_problem class
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Methods defined here:
- __init__(self, *args)
- __init__(self, n_dims, recover, ?=0) -> svm_problem
__init__(self, n_dims, size, recover, ?=0) -> svm_problem
__init__(self, inStream) -> svm_problem
- __repr__ = _swig_repr(self)
- dense(*args, **kwargs)
- dense(self, i, sv)
- get_sample(*args, **kwargs)
- get_sample(self, i) -> sample
- get_samples(*args, **kwargs)
- get_samples(self, samplesIn)
- load(*args, **kwargs)
- load(self, inStream)
- n_dims(*args, **kwargs)
- n_dims(self) -> int
- nnz(*args, **kwargs)
- nnz(self, i) -> int
- resize(*args, **kwargs)
- resize(self, n)
- save(*args, **kwargs)
- save(self, outStream)
- set_sample(*args, **kwargs)
- set_sample(self, i, s)
- size(*args, **kwargs)
- size(self) -> int
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- n_dims_
- recover_
- thisown
- The membership flag
- x_
- y_
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_svm_problem>
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class svm_problem01(__builtin__.object) |
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Proxy of C++ svm_problem01 class
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Methods defined here:
- __init__(self, *args)
- __init__(self, n_dims, recover, threshold=.9) -> svm_problem01
__init__(self, n_dims, size, recover, threshold=.9) -> svm_problem01
__init__(self, inStream) -> svm_problem01
- __repr__ = _swig_repr(self)
- dense(*args, **kwargs)
- dense(self, i, sv)
- get_sample(*args, **kwargs)
- get_sample(self, i) -> sample
- get_samples(*args, **kwargs)
- get_samples(self, samplesIn)
- load(*args, **kwargs)
- load(self, inStream)
- n_dims(*args, **kwargs)
- n_dims(self) -> int
- nnz(*args, **kwargs)
- nnz(self, i) -> int
- resize(*args, **kwargs)
- resize(self, n)
- save(*args, **kwargs)
- save(self, outStream)
- set_sample(*args, **kwargs)
- set_sample(self, i, s)
- size(*args, **kwargs)
- size(self) -> int
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- buf_
- n_dims_
- nnz_
- recover_
- thisown
- The membership flag
- threshold_
- x_
- y_
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_svm_problem01>
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class svm_std_traits(__builtin__.object) |
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Proxy of C++ svm_std_traits class
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Methods defined here:
- __init__(self, *args, **kwargs)
- __init__(self) -> svm_std_traits
- __repr__ = _swig_repr(self)
Data descriptors defined here:
- __dict__
- dictionary for instance variables (if defined)
- __weakref__
- list of weak references to the object (if defined)
- thisown
- The membership flag
Data and other attributes defined here:
- __swig_destroy__ = <built-in function delete_svm_std_traits>
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