- system update
$ sudo yum -y update
$ sudo yum -y install epel-release
$ sudo yum -y install gcc gcc-c++ python-pip python-devel atlas atlas-devel gcc-gfortran openssl-devel libffi-devel
# Change the following to your desired values: | |
# __ACCOUNT_NUMBER__ | |
# __ECR_REGION__ | |
# __ECR_REPOSITORY_NAME__ | |
# __ECS_CONTAINER_NAME__ | |
version: 0.2 | |
phases: | |
install: | |
runtime-versions: |
from flask import Flask | |
from flask import request | |
import json | |
import requests | |
import hashlib as hasher | |
import datetime as date | |
node = Flask(__name__) | |
# Define what a Snakecoin block is | |
class Block: |
import hashlib as hasher | |
import datetime as date | |
# Define what a Snakecoin block is | |
class Block: | |
def __init__(self, index, timestamp, data, previous_hash): | |
self.index = index | |
self.timestamp = timestamp | |
self.data = data | |
self.previous_hash = previous_hash |
from keras.layers.core import Layer | |
import keras.backend as K | |
if K.backend() == 'tensorflow': | |
import tensorflow as tf | |
def K_arange(start, stop=None, step=1, dtype='int32'): | |
result = tf.range(start, limit=stop, delta=step, name='arange') | |
if dtype != 'int32': | |
result = K.cast(result, dtype) | |
return result |
from keras import applications | |
from keras.preprocessing.image import ImageDataGenerator | |
from keras import optimizers | |
from keras.models import Sequential, Model | |
from keras.layers import Dropout, Flatten, Dense, GlobalAveragePooling2D | |
from keras import backend as k | |
from keras.callbacks import ModelCheckpoint, LearningRateScheduler, TensorBoard, EarlyStopping | |
img_width, img_height = 256, 256 |
import pandas as pd | |
import numpy as np | |
import logging | |
import time | |
import datetime | |
from sklearn.ensemble import RandomForestClassifier | |
from sklearn import cross_validation | |
from sklearn.svm import SVC | |
from sklearn.metrics import accuracy_score | |
from sklearn.feature_selection import VarianceThreshold |
# (C) Kyle Kastner, June 2014 | |
# License: BSD 3 clause | |
import scipy.stats as st | |
import numpy as np | |
class gmmhmm: | |
#This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m | |
def __init__(self, n_states): | |
self.n_states = n_states |