scfocus.environment.Env

class scfocus.environment.Env(n, f, max_steps, pct_samples, n_states, err_scale, bins)

Environment class for simulating and managing states, actions, and rewards.

Parameters:

• n (int) – Number of individuals in the environment.

• f (numpy.ndarray) – Input feature matrix with shape (num_samples, num_features).

• max_steps (int) – Maximum number of steps before the environment terminates.

• pct_samples (float) – Percentage of samples to be used for each state.

• n_states (int) – Number of state variables.

• err_scale (float) – Error scaling factor to adjust the weight of errors in reward calculation.

• bins (int) – Number of bins for histogram-based state discretization.

__init__(n, f, max_steps, pct_samples, n_states, err_scale, bins)

Methods

__init__(n, f, max_steps, pct_samples, ...)
get_norm(states)	Calculates the average norm distance between all pairs of states.
get_state(f_)	Computes the current state and error based on input features.
reset()	Resets the environment to its initial state.
step(action)	Executes an action and updates the environment's state.