package sklearn

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Class
Class type
type t
val of_pyobject : Py.Object.t -> t
val to_pyobject : t -> Py.Object.t
val create : unit -> t

Mixin class for all outlier detection estimators in scikit-learn.

val fit_predict : ?y:Py.Object.t -> x:Ndarray.t -> t -> Ndarray.t

Perform fit on X and returns labels for X.

Returns -1 for outliers and 1 for inliers.

Parameters ---------- X : ndarray, shape (n_samples, n_features) Input data.

y : Ignored Not used, present for API consistency by convention.

Returns ------- y : ndarray, shape (n_samples,) 1 for inliers, -1 for outliers.

val to_string : t -> string

Print the object to a human-readable representation.

val show : t -> string

Print the object to a human-readable representation.

val pp : Stdlib.Format.formatter -> t -> unit

Pretty-print the object to a formatter.

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