Fast
Properties
| Apply | If true, apply sign correction to make the largest absolute value in each column of the mixing matrix positive. Default is true to match common implementations. |
| Base |
Gets an index containing the keys of the columns
that are required inputs to the model.
(Inherited from Model) |
| Components | Gets the estimated unmixing matrix (components_) with dimensions (nComponents × nFeatures). |
| Computed |
Gets whether the model has been computed.
(Inherited from Model) Obsolete. |
| Contrast | Gets or sets the contrast (nonlinearity) function used in the FastICA fixed-point iteration. |
| Data |
Gets an object that contains all the data used as input to the model.
(Inherited from Model) |
| Dewhitening | Gets the dewhitening matrix (inverse of the whitening matrix). |
| Features |
Gets a matrix that contains the features.
(Inherited from TransformationModel<T>) |
| Fit | Gets the final fit status (converged or iteration limit exceeded). |
| Fitted |
Gets whether the model has been computed.
(Inherited from Model) |
| Initial | Gets or sets the initial unmixing matrix for warm-start initialization. |
| Input |
Gets the schema for the features used for fitting the model.
(Inherited from Model) |
| Iterations | Gets the number of iterations performed by the algorithm (n_iter_). |
| Log | Gets or sets the alpha parameter for the LogCosh contrast function. |
| Max |
Gets or sets the maximum degree of parallelism enabled by this instance.
(Inherited from Model) |
| Max | Gets or sets the maximum number of iterations for the FastICA algorithm. |
| Means | Gets the feature-wise means computed from the training data. |
| Method | Gets or sets the extraction method (parallel or deflation mode). |
| Mixing | Gets the estimated mixing matrix (M) with dimensions (nFeatures × nComponents). |
| Model |
Gets the collection of variables used in the model.
(Inherited from Model) |
| Number | Gets or sets the number of independent components to extract. |
| Number |
Gets the number of observations the model is based on.
(Inherited from Model) |
| Random | Gets or sets the random number generator used for initialization. |
| Solution | Gets the solution report containing convergence information. |
| Sources | Gets the estimated source matrix (nSamples × nComponents) if computed during fitting. |
| Status |
Gets the status of the model, which determines which information is available.
(Inherited from Model) |
| Supports |
Indicates whether the model supports case weights.
(Inherited from Model) |
| Tolerance | Gets or sets the convergence tolerance for the FastICA algorithm. |
| Unmixing | Gets the unmixing matrix (W_full) whose rows are component weight vectors. |
| Weights |
Gets or sets the actual weights.
(Inherited from Model) |
| Whiten | Gets or sets the whitening (pre-processing) mode. |
| Whitening | Gets the whitening matrix (K) used during preprocessing. |