matmodel.feature package

Submodules

matmodel.feature.Feature module

MAT-Tools: Python Framework for Multiple Aspect Trajectory Data Mining

The present application offers a tool, to support the user in the modeling of multiple aspect trajectory data. It integrates into a unique framework for multiple aspects trajectories and in general for multidimensional sequence data mining methods. Copyright (C) 2022, MIT license (this portion of code is subject to licensing from source project distribution)

Created on Apr, 2024 Copyright (C) 2024, License GPL Version 3 or superior (see LICENSE file)

Authors:

  • Tarlis Portela

  • Vanessa Lago Machado

class matmodel.feature.Feature.DerrivedFeature(value, original_aspect, quality=None)[source]

Bases: Feature, Aspect

Represents a feature derived from an original aspect, extending both Feature and Aspect classes.

Attributes:

value (any):

The value for the derived feature.

original_aspect (Aspect):

The original aspect from which the feature is derived.

quality (Quality, optional):

The quality associated with the feature. Defaults to None.

class matmodel.feature.Feature.Feature(quality=None)[source]

Bases: object

<Abstract> Represents a feature that can be associated with a quality.

Attributes:

quality (Quality, optional):

The quality of the feature.

matmodel.feature.Movelet module

MAT-Tools: Python Framework for Multiple Aspect Trajectory Data Mining

The present application offers a tool, to support the user in the modeling of multiple aspect trajectory data. It integrates into a unique framework for multiple aspects trajectories and in general for multidimensional sequence data mining methods. Copyright (C) 2022, MIT license (this portion of code is subject to licensing from source project distribution)

Created on Apr, 2024 Copyright (C) 2024, License GPL Version 3 or superior (see LICENSE file)

Authors:

  • Tarlis Portela

  • Vanessa Lago Machado

class matmodel.feature.Movelet.Movelet(trajectory, start, points, attributes_index, quality, mid=0, subset_attribute_desc=None)[source]

Bases: Subtrajectory, Feature

Represents a movelet, inherits from Subtrajectory and Feature.

Inherits from:

  • Subtrajectory: Represents a part of a trajectory with specific attributes.

  • Feature: Represents a feature that can be associated with a quality.

Attributes:

sid (int):

The ID of the movelet.

_subset_attr_desc (list):

Subset of attribute descriptors.

splitpoints (list of floats):

Vector of distance values where the dataset might be split for this subset of attributes.

distances (list of floats):

Stores the distances for the movelet to all other trajectories.

property M

Returns the movelet’s range (start and end) along with its quality percentage formatted as a string.

property Mi

Returns the movelet’s identifier formatted with special characters.

property Miq

Returns the movelet’s identifier along with its quality percentage.

property attributes
static fromSubtrajectory(s, quality)[source]

<Static> Creates a Movelet from an existing subtrajectory and quality.

Args:

s (Subtrajectory):

The subtrajectory object.

quality (Quality):

The quality associated with the movelet.

Returns:

Movelet: A new Movelet object.

property l

Returns the number of attributes in the movelet.

property m

Returns the movelet’s range formatted as a string (start and end).

property mid
property subset_attr_desc

Module contents