schnee

Seems to work with Milky Way images. But I'm not sure what to do with it

define sequence
convert sequence to FITS
stack
remove background
plate solve withe the belot

solve-field --scale-low 45 --scale-units degwidth --crpix-center --overwrite --downsample 2 r_saggita_stacked_crop.fit

schnee

library(purrr)

y_test <- sample(0:9, 2000, replace = TRUE)
pred1 <- sample(0:9, 2000, replace= TRUE)
pred2 <- sample(0:9, 2000, replace= TRUE)
preds <- list(pred1, pred2)

# want to apply the following to preds
# sum(diag(table(y_test, pred)))/length(y_test)

schnee

ls
pwd
hi
man hi
man cats
yes "we have no bananas"
yes
man yes
exit
git

schnee

// Databricks notebook source exported at Sat, 6 Aug 2016 14:28:53 UTC
// MAGIC %md
// MAGIC # Breckenridge Property Description Topic Modeling
// MAGIC This notebook turns the text contained in property descriptions in the Breckenridge CO US destination into topic probability distributions for subsequent math. The chief output is the LDA-determined topic distributions. These distributions are analyzed for similarity scores in an R document elsewhere.
// MAGIC 
// MAGIC For getting all the topic distributions, you'll want the 'clusteredDF' object

// COMMAND ----------

import org.apache.spark.sql.SaveMode;