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#!/bin/python
'''
Usage:
python downsample.py [offset+]amount

Examples:
cat super_big.csv | python downsample.py 1+4 > big_divided_by_4.csv
cat data.csv | python downsample.py 2 > data_halved.csv
'''

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#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential

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# R code to produce a simulated dataset for an experiment on a made up insect. 
# Measures include sex, body length, thorax width, number of thoracic bristles and some measure of aggression behaviour. 
# Also there is exposure to some treatment stimulus/drug. 
# This simulation uses Copulas to generate correlated variables from binomial, Gaussian and Poisson distributions

require(copula)

set.seed(1888)

n <- 1000 

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""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

cadrev

Libraries for a modern geospatial workflow

Distribution

• Writing, Running, and Distributing
• Tox driven development
• Publishing python libraries

Numpy

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#How to download streaming video

Streaming just means a download that they don't want you to keep.  But Chrome's developer tools make it easy to access what's really going on under the hood.

##Open Developer Tools

From the page where you want to download some things, go into your chrome menu to open the developer tools.  You can either:

	1.  (On a mac): Command-option-J
	2.  (On a PC): Control-alt-J

cadrev

import numpy as np

from keras.datasets import imdb
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential
from keras.layers import containers
from keras.layers.noise import GaussianNoise
from keras.layers.core import Dense, AutoEncoder
from keras.utils import np_utils
from sklearn.metrics import (precision_score, recall_score,

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import numpy
from scipy.ndimage.interpolation import map_coordinates
from scipy.ndimage.filters import gaussian_filter

def elastic_transform(image, alpha, sigma, random_state=None):
    """Elastic deformation of images as described in [Simard2003]_.


    .. [Simard2003] Simard, Steinkraus and Platt, "Best Practices for
       Convolutional Neural Networks applied to Visual Document Analysis", in

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# original example from Digg Data website (Takashi J. OZAKI, Ph. D.) 
# http://diggdata.in/post/58333540883/k-fold-cross-validation-in-r


library(plyr)
library(randomForest)

data <- iris

# in this cross validation example, we use the iris data set to 

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TL;DR

Install Postgres 9.5, and then:

sudo pg_dropcluster 9.5 main --stop
sudo pg_upgradecluster 9.3 main
sudo pg_dropcluster 9.3 main