Evision
v0.1.33

View Source Evision.ML.ParamGrid (Evision v0.1.33)

Summary

Types

t()

Type that represents an ML.ParamGrid struct.

Functions

create()

Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method

create(opts)

Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method

get_logStep(self)
get_maxVal(self)
get_minVal(self)
set_logStep(self, prop)
set_maxVal(self, prop)
set_minVal(self, prop)

Types

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t()

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@type t() :: %Evision.ML.ParamGrid{ref: reference()}

Type that represents an ML.ParamGrid struct.

  • ref. reference()

    The underlying erlang resource variable.

Functions

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create()

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@spec create() :: t() | {:error, String.t()}

Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method

Keyword Arguments

  • minVal: double.

    minimum value of the parameter grid

  • maxVal: double.

    maximum value of the parameter grid

  • logstep: double.

    Logarithmic step for iterating the statmodel parameter

Return
  • retval: Evision.ML.ParamGrid.t()

Python prototype (for reference only):

create([, minVal[, maxVal[, logstep]]]) -> retval
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create(opts)

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@spec create([{atom(), term()}, ...] | nil) :: t() | {:error, String.t()}

Creates a ParamGrid Ptr that can be given to the %SVM::trainAuto method

Keyword Arguments

  • minVal: double.

    minimum value of the parameter grid

  • maxVal: double.

    maximum value of the parameter grid

  • logstep: double.

    Logarithmic step for iterating the statmodel parameter

Return
  • retval: Evision.ML.ParamGrid.t()

Python prototype (for reference only):

create([, minVal[, maxVal[, logstep]]]) -> retval
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get_logStep(self)

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@spec get_logStep(t()) :: number()
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get_maxVal(self)

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@spec get_maxVal(t()) :: number()
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get_minVal(self)

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@spec get_minVal(t()) :: number()
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set_logStep(self, prop)

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@spec set_logStep(t(), number()) :: t()
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set_maxVal(self, prop)

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@spec set_maxVal(t(), number()) :: t()
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set_minVal(self, prop)

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@spec set_minVal(t(), number()) :: t()