run-tests

#!/bin/bash

##################################################
# Initialization

# Document-topic similarity.
# Defaults to number of topics.
alpha_values="1 10 100 500 1000"

# Document-word similarity.
# Defaults to 0.01.
beta_values="0.0001 0.001 0.01 0.1 0.5 1.0"

# Number of topics to infer.
topic_values="100 250 500 750 1000"

# Number of iterations to run.
iter_values="3000"

# Initialize run counter.
run=1

##################################################
# Environment setup

# Check for errors.
set +e

# Create results directory.
rm -rf results
mkdir -p results logs

# Create backup database.
cp data.db data.db.bkp

##################################################
# Execution

run_experiment() {
  local run=$1
  local alpha=$2
  local beta=$3
  local topics=$4
  local iter=$5

  # Print run information.
  date +%Y.%m.%d.%H.%M.%S
  echo "> run: $run"
  echo "> alpha: $alpha"
  echo "> beta: $beta"
  echo "> topics: $topics"
  echo "> iter: $iter"

  # Learn.
  echo "Learning."
  bin/learn -threads 8 \
            -iterations $iter \
            -alpha $alpha \
            -beta $beta \
            -topics $topics \
            -words 10 \
            -in data \
            -out results &>> "logs/learn-$run.log"
}

# Iterate through values.
for alpha in $alpha_values; do
for beta in $beta_values; do
for topics in $topic_values; do
for iter in $iter_values; do

  # Delay experiment creation time.
  sleep 2

  # Fork experiment to background.
  run_experiment $run $alpha $beta $topics $iter &
  run=$((run + 1))

done
done
done
done | tee -a run-tests.log


#  # Read in results.
#  echo "Importing results."
#  bin/scrape import-results \
#            --topic-file results/*/topics.csv \
#            --course-file results/*/documents.csv \
#            --alpha $alpha --beta $beta --iterations $iter


exit