fpcMotif

Notes on this tweet.

• The screenshots were taken on different sessions.

• The entire sessions are included on the screenshots.

• I lost the original prompts, so I had to reconstruct them, and still managed to reproduce.

• The "compressed" version is actually longer! Emojis and abbreviations use more tokens than common words.

fpcMotif

#How to load the model
def build_model(img_width=224, img_height=224):
  from keras.models import Sequential
  from keras.layers import Convolution2D, ZeroPadding2D, MaxPooling2D, Activation
  
  model = Sequential()
  model = Sequential()
  model.add(ZeroPadding2D((1,1),input_shape=(3,img_width,img_height)))
  model.add(Convolution2D(64, 3, 3, activation='relu', name='conv1_1'))
  model.add(Activation('relu'))

fpcMotif

library(lubridate)
dates <- c("2011-01-17", "2009-11-21")

p <- as.period( interval( ymd(dates), Sys.Date() ) )
year(p)*12 + month(p)

interval(dates, today()) %/% months(1)

fpcMotif

import numpy as np
import matplotlib.pyplot as plt
import sys

def main():
	if len(sys.argv) == 1 or "-h" in sys.argv or "--help" in sys.argv:
		print "python lagrange.py <x1.y1> .. <x_k.y_k>"
		print "Example:"
		print "python lagrange.py 0.1 2.4 4.5 3.2"

fpcMotif

import numpy as np
import matplotlib.pyplot as plt
import sys

def main():
	if len(sys.argv) == 1 or "-h" in sys.argv or "--help" in sys.argv:
		print "python lagrange.py <x1.y1> .. <x_k.y_k>"
		print "Example:"
		print "python lagrange.py 0.1 2.4 4.5 3.2"

fpcMotif

import random

from facebookads.adobjects.adcreativeobjectstoryspec import AdCreativeObjectStorySpec
from facebookads.adobjects.adcreativelinkdata import AdCreativeLinkData

from ads_app.api import AdsApi
from ads_app.api.objects import Ad, AdLabel, CarouselAd
from sjp_app.documents.sjp_image import SjpImage
from sjp_app.documents.strategy import Strategy
from w4.documents.mongo_job import MongoJob

fpcMotif

library(OIdata)
library(RColorBrewer)
library(classInt)

# load state data from OIdata package:
data(state)

# set constants:
nclr <- 8 # number of bins
min <- 0 # theoretical minimum

fpcMotif

library(OIdata)
data(birds)
library(ggplot2)

levels(birds$effect) <- gsub(" ", "\n", levels(birds$effect))
ggplot(birds,
  aes(x = effect,
    y = speed)) +
geom_boxplot() + 
coord_flip()

fpcMotif

ols <- lm(Temp ~ Solar.R,
  data = airquality)

summary(ols)

str(ols)

plot(Temp ~ Solar.R,
  data = airquality)
abline(ols)

fpcMotif

str(ChickWeight$Diet)
table(ChickWeight$Diet)

ols <- lm(weight ~ Time + Diet,
  data = ChickWeight)
summary(ols)

ChickWeight$Diet <- relevel(ChickWeight$Diet,
  ref = 4)