thomaspinder

"""
If you place this script at the bottom of your Python work, then it'll send you a notification on Slack once your code has finished running. Potentially useful if your code takes several hours to run as it saves having to check on its progress. 

To run, you'll need to install the following two libraries:

slackclient==1.2.1
slacker==0.9.65

And then sign up for a Slack API key. Once these two steps have been done you can run the following code, replacing the name and key values with your own.
"""

thomaspinder

library(gganimate)
library(ggplot2)
library(dplyr)
library(reshape2)

# Get base n values
n <- 50
base <- data.frame(idx = seq(2, n, by = 0.01))

# Compute relative runtimes

thomaspinder

using Distributions, Random, LinearAlgebra, Plots, StatPlots
Random.seed!(123);

dims = 2
precision_prior = 4
cov_prior = Matrix{Float64}(I, dims, dims)
pre_prior = precision_prior*cov_prior
mu_prior = [-2, -4]

precision_t = 0.5

thomaspinder

thomaspinder

set nocompatible              " be iMproved, required
filetype off                  " required

" set the runtime path to include Vundle and initialize
set rtp+=~/.vim/bundle/Vundle.vim
call vundle#begin()

" let Vundle manage Vundle, required
Plugin 'VundleVim/Vundle.vim'

thomaspinder

# switch prefix to control-a, unmap b, allow double-a to go through
set -g prefix C-a
unbind C-b
bind C-a send-prefix

# -r repeat time (Default 500 millis)
set -g repeat-time 2000

# colors
set -g default-terminal "screen-256color"

thomaspinder

import gpflow
import tensorflow as tf
import matplotlib.pyplot as plt
from gpflow.models import GPModel, InternalDataTrainingLossMixin, GPR
from gpflow.kernels import SquaredExponential, Kernel
from gpflow.likelihoods import Gaussian
from gpflow.mean_functions import Zero
from gpflow.base import Parameter
from time import time
from gpflow.utilities import print_summary

thomaspinder

figure.figsize: 5.5, 2.5
figure.constrained_layout.use: True
figure.autolayout: False
savefig.bbox: tight
figure.dpi: 120

# Axes
axes.spines.left: True  # display axis spines
axes.spines.bottom: True
axes.spines.top: False