Models

Models

This module contains small supervised learning models built on SicLib tensors.

---

Documentation

class KNearestNeighbors:
    def __init__(self) -> None: ...
    def fit_model(self, x_vals: _pysiclib.linalg.Tensor, y_vals: _pysiclib.linalg.Tensor, num_neighbors: int, metric: int = ...) -> None: ...
    def predict(self, arg0: _pysiclib.linalg.Tensor) -> _pysiclib.linalg.Tensor: ...

class LinearModel:
    def __init__(self) -> None: ...
    def fit_model(self, x_vals: _pysiclib.linalg.Tensor, y_vals: _pysiclib.linalg.Tensor, fit_procedure: int = ...) -> None: ...
    def predict(self, arg0: _pysiclib.linalg.Tensor) -> _pysiclib.linalg.Tensor: ...