opoyraz

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

opoyraz

import pandas as pd

def get_pattern(df):
    """ Generates the DBIR "patterns," with liberal inspiration from the getpatternlist.R: 
    https://gist.github.com/jayjacobs/a145cb87551f551fc719

    Parameters
    ----------
    df: pd DataFrame with most VERIS encodings already built (from verispy package).

opoyraz

def press_statistic(y_true, y_pred, xs):
    """
    Calculation of the `Press Statistics <https://www.otexts.org/1580>`_
    """
    res = y_pred - y_true
    hat = xs.dot(np.linalg.pinv(xs))
    den = (1 - np.diagonal(hat))
    sqr = np.square(res/den)
    return sqr.sum()