fishy.models.probabilistic.gp

Probabilistic models for spectral classification. Includes Gaussian Processes and other Bayesian approaches.

Classes

fishy.models.probabilistic.gp.GP[source]

alias of GaussianProcess

class fishy.models.probabilistic.gp.GaussianProcess(kernel_type: str = 'matern', nu: float = 1.5, random_state: int = 42, n_restarts_optimizer: int = 5)[source]

Bases: BaseEstimator, ClassifierMixin

Gaussian Process Classifier tailored for spectral data. Provides calibrated probability estimates and handles high-dimensional inputs.

__init__(kernel_type: str = 'matern', nu: float = 1.5, random_state: int = 42, n_restarts_optimizer: int = 5)[source]
fit(X, y)[source]
get_uncertainty(X)[source]

Returns the predictive variance/uncertainty. Note: Sklearn GPC doesn’t provide variance directly like GPR, but we can use the probability entropy or max-probability as a proxy.

predict(X)[source]
predict_proba(X)[source]
set_score_request(*, sample_weight: bool | None | str = '$UNCHANGED$') → GaussianProcess[source]

Configure whether metadata should be requested to be passed to the score method.

Note that this method is only relevant when this estimator is used as a sub-estimator within a meta-estimator and metadata routing is enabled with enable_metadata_routing=True (see sklearn.set_config()). Please check the User Guide on how the routing mechanism works.

The options for each parameter are:

  • True: metadata is requested, and passed to score if provided. The request is ignored if metadata is not provided.

  • False: metadata is not requested and the meta-estimator will not pass it to score.

  • None: metadata is not requested, and the meta-estimator will raise an error if the user provides it.

  • str: metadata should be passed to the meta-estimator with this given alias instead of the original name.

The default (sklearn.utils.metadata_routing.UNCHANGED) retains the existing request. This allows you to change the request for some parameters and not others.

Added in version 1.3.

Parameters:

sample_weight (str, True, False, or None, default=sklearn.utils.metadata_routing.UNCHANGED) – Metadata routing for sample_weight parameter in score.

Returns:

self – The updated object.

Return type:

object

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