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SVMTrainingOptions Type

Union cases

Union case Description

Cneg float

Full Usage: Cneg float

Parameters:
    Item : float

Cneg, penalty for mistakes made on negative examples. Set by cross validation if not specified or if -p is not specified

Item : float

Cpos float

Full Usage: Cpos float

Parameters:
    Item : float

Cpos, penalty for mistakes made on positive examples. Set by cross validation if not specified.

Item : float

FDR_CrossValidation float

Full Usage: FDR_CrossValidation float

Parameters:
    Item : float

False discovery rate threshold for evaluating best cross validation result and reported end result. Default = 0.01.

Item : float

FDR_PositiveExamples float

Full Usage: FDR_PositiveExamples float

Parameters:
    Item : float

False discovery rate threshold to define positive examples in training. Set to testFDR if 0. Default = 0.01.

Item : float

MaxIterations int

Full Usage: MaxIterations int

Parameters:
    Item : int

Maximal number of iterations

Item : int

QuickValidation

Full Usage: QuickValidation

Quicker execution by reduced internal cross-validation.

ReportPerfomanceAfterIteration

Full Usage: ReportPerfomanceAfterIteration

Report performance on test set each iteration.

SeedRndNumberGenerator float

Full Usage: SeedRndNumberGenerator float

Parameters:
    Item : float

Set seed of the random number generator. Default = 1

Item : float

SubsetTraining float

Full Usage: SubsetTraining float

Parameters:
    Item : float

Only train an SVM on a subset of PSMs, and use the resulting score vector to evaluate the other PSMs. Recommended when analyzing huge numbers (>1 million) of PSMs. When set to 0, all PSMs are used for training as normal. Default = 0.

Item : float

Instance members

Instance member Description

this.IsCneg

Full Usage: this.IsCneg

Returns: bool
Returns: bool

this.IsCpos

Full Usage: this.IsCpos

Returns: bool
Returns: bool

this.IsFDR_CrossValidation

Full Usage: this.IsFDR_CrossValidation

Returns: bool
Returns: bool

this.IsFDR_PositiveExamples

Full Usage: this.IsFDR_PositiveExamples

Returns: bool
Returns: bool

this.IsMaxIterations

Full Usage: this.IsMaxIterations

Returns: bool
Returns: bool

this.IsQuickValidation

Full Usage: this.IsQuickValidation

Returns: bool
Returns: bool

this.IsReportPerfomanceAfterIteration

Full Usage: this.IsReportPerfomanceAfterIteration

Returns: bool
Returns: bool

this.IsSeedRndNumberGenerator

Full Usage: this.IsSeedRndNumberGenerator

Returns: bool
Returns: bool

this.IsSubsetTraining

Full Usage: this.IsSubsetTraining

Returns: bool
Returns: bool

Type something to start searching.