Package topo :: Package analysis :: Module featureresponses :: Class PositionMeasurementCommand

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Class PositionMeasurementCommand

source code

Parameterized command for measuring topographic position.

Nested Classes

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Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods

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Inherited from MeasureResponseCommand: __call__

Inherited from MeasureResponseCommand (private): _feature_list

Inherited from param.parameterized.ParameterizedFunction: __reduce__, __str__, script_repr

Inherited from param.parameterized.Parameterized: __getstate__, __init__, __repr__, __setstate__, debug, defaults, force_new_dynamic_value, get_param_values, get_value_generator, inspect_value, message, print_param_values, set_default, set_dynamic_time_fn, set_param, state_pop, state_push, verbose, warning

Inherited from param.parameterized.Parameterized (private): _add_parameter, _instantiate_param, _set_name, _setup_params

Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __reduce_ex__, __setattr__, __sizeof__, __subclasshook__

Class Methods

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Inherited from param.parameterized.ParameterizedFunction: instance

Inherited from param.parameterized.Parameterized: params, print_param_defaults

Static Methods

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Inherited from param.parameterized.ParameterizedFunction: __new__

Class Variables

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__abstract = True
bool(x) -> bool

divisions = param.Integer(default= 6, bounds= (1, None), doc= ...
The number of different positions to measure in X and in Y.

name = <param.parameterized.String object at 0xb20dd2c>
String identifier for this object.

pattern_presenter = param.Callable(default= PatternPresenter(G...
Callable object that will present a parameter-controlled pattern to a set of Sheets.

size = param.Number(default= 0.5, bounds= (0, None), doc= ...
The size of the pattern to present.

static_parameters = param.List(default= ["scale", "offset", "s...
List of names of parameters of this class to pass to the pattern_presenter as static parameters, i.e.

x_range = param.NumericTuple((-0.5, 0.5), doc= ...
The range of X values to test.

y_range = param.NumericTuple((-0.5, 0.5), doc= ...
The range of Y values to test.

Inherited from MeasureResponseCommand: apply_output_fns, display, duration, generator_sheets, offset, scale, sheet_views_prefix, subplot, weighted_average

Inherited from param.parameterized.Parameterized: print_level

Properties

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Inherited from object: __class__

Class Variable Details

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__abstract

bool(x) -> bool

Returns True when the argument x is true, False otherwise. The builtins True and False are the only two instances of the class bool. The class bool is a subclass of the class int, and cannot be subclassed.

Value:

True

divisions

The number of different positions to measure in X and in Y.

Value:

param.Integer(default= 6, bounds= (1, None), doc= """
        The number of different positions to measure in X and in Y.""")

pattern_presenter

Callable object that will present a parameter-controlled pattern to a set of Sheets. For measuring position, the pattern_presenter should be spatially localized, yet also able to activate the appropriate neurons reliably.

Value:

param.Callable(default= PatternPresenter(Gaussian(aspect_ratio= 1.0)), doc= """
        Callable object that will present a parameter-controlled
        pattern to a set of Sheets.  For measuring position, the
        pattern_presenter should be spatially localized, yet also able
        to activate the appropriate neurons reliably.""")

size

The size of the pattern to present.

Value:

param.Number(default= 0.5, bounds= (0, None), doc= """
        The size of the pattern to present.""")

static_parameters

List of names of parameters of this class to pass to the pattern_presenter as static parameters, i.e. values that will be fixed to a single value during measurement.

Value:

param.List(default= ["scale", "offset", "size"])

x_range

The range of X values to test.

Value:

param.NumericTuple((-0.5, 0.5), doc= """
        The range of X values to test.""")

y_range

The range of Y values to test.

Value:

param.NumericTuple((-0.5, 0.5), doc= """
        The range of Y values to test.""")