Skip to content

Instantly share code, notes, and snippets.

@glennq
glennq / adam_lbfgs_compare.py
Last active December 27, 2017 03:30
Benchmarks for learning rate updating schemes in MLP
import numpy as np
from time import time
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
from sklearn.cross_validation import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import make_moons, make_circles, make_classification
from sklearn.neural_network import MLPClassifier
import java.io.File;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.StandardOpenOption;
import java.util.*;
public class EmailParsingFiniteStateMachine {
private String[] lines;
private HashMap<Integer, String> labelMapping;
private HashSet<State> metaStatesSeen;