LocallyLinearEmbedding
Locally Linear Embedding.
Read more in the User Guide.
Python Reference (opens in a new tab)
Constructors
constructor()
Signature
new LocallyLinearEmbedding(opts?: object): LocallyLinearEmbedding;Parameters
| Name | Type | Description |
|---|---|---|
opts? | object | - |
opts.eigen_solver? | "auto" | "arpack" | "dense" | The solver used to compute the eigenvectors. The available options are: Default Value 'auto' |
opts.hessian_tol? | number | Tolerance for Hessian eigenmapping method. Only used if method \== 'hessian'. Default Value 0.0001 |
opts.max_iter? | number | Maximum number of iterations for the arpack solver. Not used if eigen_solver==’dense’. Default Value 100 |
opts.method? | "standard" | "hessian" | "modified" | "ltsa" | standard: use the standard locally linear embedding algorithm. see reference [1] Default Value 'standard' |
opts.modified_tol? | number | Tolerance for modified LLE method. Only used if method \== 'modified'. Default Value 1e-12 |
opts.n_components? | number | Number of coordinates for the manifold. Default Value 2 |
opts.n_jobs? | number | The number of parallel jobs to run. undefined means 1 unless in a joblib.parallel\_backend (opens in a new tab) context. \-1 means using all processors. See Glossary for more details. |
opts.n_neighbors? | number | Number of neighbors to consider for each point. Default Value 5 |
opts.neighbors_algorithm? | "auto" | "ball_tree" | "kd_tree" | "brute" | Algorithm to use for nearest neighbors search, passed to NearestNeighbors instance. Default Value 'auto' |
opts.random_state? | number | Determines the random number generator when eigen\_solver == ‘arpack’. Pass an int for reproducible results across multiple function calls. See Glossary. |
opts.reg? | number | Regularization constant, multiplies the trace of the local covariance matrix of the distances. Default Value 0.001 |
opts.tol? | number | Tolerance for ‘arpack’ method Not used if eigen_solver==’dense’. Default Value 0.000001 |
Returns
Defined in: generated/manifold/LocallyLinearEmbedding.ts:23 (opens in a new tab)
Methods
dispose()
Disposes of the underlying Python resources.
Once dispose() is called, the instance is no longer usable.
Signature
dispose(): Promise<void>;Returns
Promise<void>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:179 (opens in a new tab)
fit()
Compute the embedding vectors for data X.
Signature
fit(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | ArrayLike[] | Training set. |
opts.y? | any | Not used, present here for API consistency by convention. |
Returns
Promise<any>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:196 (opens in a new tab)
fit_transform()
Compute the embedding vectors for data X and transform X.
Signature
fit_transform(opts: object): Promise<ArrayLike>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | ArrayLike[] | Training set. |
opts.y? | any | Not used, present here for API consistency by convention. |
Returns
Promise<ArrayLike>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:236 (opens in a new tab)
get_feature_names_out()
Get output feature names for transformation.
The feature names out will prefixed by the lowercased class name. For example, if the transformer outputs 3 features, then the feature names out are: \["class\_name0", "class\_name1", "class\_name2"\].
Signature
get_feature_names_out(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.input_features? | any | Only used to validate feature names with the names seen in fit. |
Returns
Promise<any>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:281 (opens in a new tab)
get_metadata_routing()
Get metadata routing of this object.
Please check User Guide on how the routing mechanism works.
Signature
get_metadata_routing(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.routing? | any | A MetadataRequest encapsulating routing information. |
Returns
Promise<any>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:321 (opens in a new tab)
init()
Initializes the underlying Python resources.
This instance is not usable until the Promise returned by init() resolves.
Signature
init(py: PythonBridge): Promise<void>;Parameters
| Name | Type |
|---|---|
py | PythonBridge |
Returns
Promise<void>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:121 (opens in a new tab)
set_output()
Set output container.
See Introducing the set_output API for an example on how to use the API.
Signature
set_output(opts: object): Promise<any>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.transform? | "default" | "pandas" | Configure output of transform and fit\_transform. |
Returns
Promise<any>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:361 (opens in a new tab)
transform()
Transform new points into embedding space.
Signature
transform(opts: object): Promise<ArrayLike[]>;Parameters
| Name | Type | Description |
|---|---|---|
opts | object | - |
opts.X? | ArrayLike[] | Training set. |
Returns
Promise<ArrayLike[]>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:398 (opens in a new tab)
Properties
_isDisposed
boolean=false
Defined in: generated/manifold/LocallyLinearEmbedding.ts:21 (opens in a new tab)
_isInitialized
boolean=false
Defined in: generated/manifold/LocallyLinearEmbedding.ts:20 (opens in a new tab)
_py
PythonBridge
Defined in: generated/manifold/LocallyLinearEmbedding.ts:19 (opens in a new tab)
id
string
Defined in: generated/manifold/LocallyLinearEmbedding.ts:16 (opens in a new tab)
opts
any
Defined in: generated/manifold/LocallyLinearEmbedding.ts:17 (opens in a new tab)
Accessors
embedding_
Stores the embedding vectors
Signature
embedding_(): Promise<ArrayLike>;Returns
Promise<ArrayLike>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:435 (opens in a new tab)
feature_names_in_
Names of features seen during fit. Defined only when X has feature names that are all strings.
Signature
feature_names_in_(): Promise<ArrayLike>;Returns
Promise<ArrayLike>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:516 (opens in a new tab)
n_features_in_
Number of features seen during fit.
Signature
n_features_in_(): Promise<number>;Returns
Promise<number>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:489 (opens in a new tab)
nbrs_
Stores nearest neighbors instance, including BallTree or KDtree if applicable.
Signature
nbrs_(): Promise<any>;Returns
Promise<any>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:543 (opens in a new tab)
py
Signature
py(): PythonBridge;Returns
PythonBridge
Defined in: generated/manifold/LocallyLinearEmbedding.ts:108 (opens in a new tab)
Signature
py(pythonBridge: PythonBridge): void;Parameters
| Name | Type |
|---|---|
pythonBridge | PythonBridge |
Returns
void
Defined in: generated/manifold/LocallyLinearEmbedding.ts:112 (opens in a new tab)
reconstruction_error_
Reconstruction error associated with embedding\_
Signature
reconstruction_error_(): Promise<number>;Returns
Promise<number>
Defined in: generated/manifold/LocallyLinearEmbedding.ts:462 (opens in a new tab)