nikolaypavlov

Test pool

nikolaypavlov

#
# https://www.kaggle.com/users/195999/henning-sperr/otto-group-product-classification-challenge/finding-ensamble-weights
#
import pandas as pd
import numpy as np
from scipy.optimize import minimize
from sklearn.cross_validation import StratifiedShuffleSplit
from sklearn.ensemble import RandomForestClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import log_loss

nikolaypavlov

# 65 coef high pass FIT filter
{0.000314457320367001, 0.000246082771761455, 0.000173648765385432, 8.17647432661459e-05, -4.69462991557042e-05, -0.00023125577925895, -0.000490651451019857, -0.000844595757205087, -0.00131174606707259, -0.00190916435735977, -0.00265154501540713, -0.00355048952624091, -0.00461385583010505, -0.00584520812255025, -0.00724338987421478, -0.0088022389677393, -0.0105104592149132, -0.0123516572878592, -0.0143045484574507, -0.0163433286810857, -0.0184382047311525, -0.0205560684177714, -0.0226612957415936, -0.0247166472077677, -0.026684241712912, -0.028526573527739, -0.0302075400505086, -0.0316934472749102, -0.0329539603341354, -0.0339629680427892, -0.034699333010229, -0.0351475025532275, 0.964513495872143, -0.0351475025532275, -0.034699333010229, -0.0339629680427892, -0.0329539603341354, -0.0316934472749102, -0.0302075400505086, -0.028526573527739, -0.026684241712912, -0.0247166472077677, -0.0226612957415936, -0.0205560684177714, -0.0184382047311525, -0.0163433286810857, -0.0143045484574

nikolaypavlov

    3.300102848346e-01,   1.398878423880e-01,   1.132194497611e-01,
    9.002445847317e-01,   6.085422658149e-01,   8.518126293737e-01,
    5.995741968635e-02,   9.127218828447e-01,   9.670536222964e-01,
    7.885252957932e-01,   9.438013259604e-01,   4.711103520537e-01,
    7.207416746742e-02,   3.924103005297e-01,   2.164608226127e-01,
    7.716206182694e-01,   7.778030975173e-01,   7.720883558536e-01,
    5.486793298923e-01,   2.404171128907e-02,   2.857676977065e-01,
    5.103922893761e-01,   3.809454367284e-01,   8.962845202781e-01,
    3.443479532840e-01,   5.120892757996e-01,   6.427356016255e-01,

nikolaypavlov

import numpy as np

from scipy.io import loadmat
from scipy.signal import lfilter, hamming
from scipy.fftpack import fft
from scipy.fftpack.realtransforms import dct

from scikits.talkbox import segment_axis

def trfbank(fs, nfft, lowfreq, linsc, logsc, nlinfilt, nlogfilt):

nikolaypavlov

#import "TRNotificationManager.h"
#define GOAL_PRESENTED_KEY @"goalPresentedKey"

@implementation TRNotificationManager

#pragma mark - UILocalNotification

- (void)presentGoalCompletionNotification {
    if (!self.isGoalNotificationPresentedToday) {
        UILocalNotification *notification = [[UILocalNotification alloc] init];

nikolaypavlov

library(tuneR)
library(seewave)
library(zoo)
library(dtt)
library(signal)

get_index <- function(x, n, cell_size=1024, guard_cells=1, trained_cells=1) {
  ((which(n) + guard_cells + trained_cells) - 1) * cell_size + 1
}

nikolaypavlov

-6, 44, -51, 75, -77, 35, -74, 58, -21, 8, -59, -66, 18, -7, -19, 9, -77, -66, -5, 31, -29, -15, -23, 23, -9, 34, 18, -106, 3, -6, -47, 29, 46, -17, 31, 56, -28, 30, 58, 10, -18, -51, -23, 28, -52, 3, -1, 14, 36, -20, -18, -8, -40, -23, 29, -40, 5, 12, 9, -16, 23, -19, -13, -56, -14, 22, -20, 37, -1, 36, -17, 54, -14, -8, 20, -20, 41, -3, 52, 5, 22, -48, 36, 10, -6, 4, -39, 11, -24, -10, 30, 52, 25, 19, 8, 2, -22, -1, 56, 20, -46, 42, -3, -11, -6, -39, 8, -38, 25, 10, 40, 8, 34, 64, 17, 36, -2, 53, -66, 34, 0, -25, 2, -40, -4, -16, 15, -36, 36, -41, -8, 5, -2, 3, -41, -10, 4, 24, -43, -55, -3, -58, -32, -24, -32, 6, 17, 58, -13, 7, -7, 3, 2, 14, 13, -5, 11, 5, 58, 57, 50, 45, 20, 46, 18, 58, 35, -10, 7, -8, -11, -9, 13, -33, -45, -40, -10, -63, -31, -22, -46, -20, -36, -50, -78, -20, -79, -44, -32, -17, -6, -14, -35, 38, -37, -25, -10, -41, 27, 55, -28, 37, 34, -24, 57, 14, 4, 44, -8, 24, 16, -21, 64, -6, 12, 33, 23, 6, 13, 14, -6, 28, 4, 35, 25, 47, 52, 65, 36, 41, 8, -31, 2, -3, 9, -15, -40, 0, -17, -19, -2

nikolaypavlov

double x[bufferSize] = {2067, 2085, 2065, 2066, 2047, 2067, 2067, 2069, 2066, 2064, 2068, 2066, 2046, 2067, 2062, 2065, 2063, 2063, 2038, 2054, 2065, 2068, 2068, 2067, 2067, 2076, 2067, 2066, 2065, 2064, 2065, 2068, 2068, 2073, 2075, 2071, 2072, 2073, 2074, 2070, 2067, 2068, 2059, 2069, 2073, 2069, 2068, 2070, 2072, 2075, 2075, 2074, 2074, 2086, 2084, 2068, 2074, 2066, 2063, 2056, 2060, 2059, 2063, 2067, 2068, 2064, 2058, 2064, 2062, 2061, 2062, 2065, 2074, 2062, 2058, 2061, 2059, 2034, 2058, 2054, 2059, 2064, 2080, 2072, 2059, 2077, 2058, 2058, 2056, 2056, 2058, 2061, 2060, 2063, 2059, 2056, 2073, 2061, 2058, 2062, 2057, 2058, 2053, 2057, 2051, 2056, 2074, 2061, 2059, 2058, 2051, 2035, 2010, 2014, 2037, 2033, 1984, 1952, 1953, 2000, 2013, 2011, 2003, 1984, 1942, 1906, 1791, 1740, 1714, 1728, 1749, 1761, 1734, 1836, 1934, 1881, 1941, 1990, 2188, 2358, 2114, 1693, 1482, 1345, 2045, 2506, 2579, 2629, 2726, 2866, 2982, 2964, 2876, 2571, 2237, 2129, 2211, 2195, 2048, 1973, 1922, 1816, 1659, 1322, 1246, 1359, 1400

nikolaypavlov

//
//  main.c
//  iir
//
//  Created by Mykola Pavlov on 9/9/14.
//  Copyright (c) 2014 Biomech, Inc. All rights reserved.
//

#include <stdio.h>