OptimizationStepParameter

QuantConnect.Optimizer.Parameters.OptimizationStepParameter

OptimizationStepParameter(
    name: str, min: float, max: float
)

OptimizationStepParameter(
    name: str, min: float, max: float, step: float
)

OptimizationStepParameter(
    name: str,
    min: float,
    max: float,
    step: float,
    min_step: float,
)

Defines the step based optimization parameter

Create an instance of OptimizationParameter based on configuration

Parameters:

Name	Type	Description	Default
`name`	`str`	parameter name	required
`min`	`float`	minimal value	required
`max`	`float`	maximal value	required
`step`	`Optional[float]`	movement	`None`
`min_step`	`Optional[float]`	minimal possible movement	`None`

min_value: float

Minimum value of optimization parameter, applicable for boundary conditions

max_value: float

Maximum value of optimization parameter, applicable for boundary conditions

step: Optional[float]

Movement, should be positive

min_step: Optional[float]

name: str

Name of optimization parameter

equals(obj: Any) -> bool

equals(other: OptimizationParameter) -> bool

Signature descriptions:

Determines whether the specified object is equal to the current object.
Indicates whether the current object is equal to another object of the same type.

Parameters:

Name	Type	Description	Default
`obj`	`Optional[Any]`	The object to compare with the current object.	`None`
`other`	`Optional[OptimizationParameter]`	An object to compare with this object.	`None`

Returns:

Type	Description
`bool`	Depends on the signature used. Case 1: [true if the specified object is equal to the current object; otherwise, false.]; Case 2: [true if the current object is equal to the other parameter; otherwise, false.]

get_hash_code() -> int

Serves as the default hash function.

Returns:

Type	Description
`int`	A hash code for the current object.