config_restaurant.txt

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# Config file for Restaurant dataset
# AnyLine containing `#' with be treated as comment.
# The Typical Format is Variablename = Value
###############################################################

# Choose K and L Wisely, try with higher values of K and go down. Typically in range 1-5 for small pruning,
#for rigorous pruning use larger values of K 

K=1

# More L increases the recall but also reports more pair. Less sensitive than K

L=4

# ngrams length

shingles=2

# Thresholds, only reports if found in at least this many buckets (cancels random noise). If you are missing pairs #decrease this
Thresh=3


#Give the input CSV file. First line will be ignored (assumed to be header). Every line will be treated as a #record. 
#The line number of record will be its ID. That is the fist line after header is treated as record with ID 1 etc.

Input=data/restaurant.csv
#Output File: this will contain a pair of record IDs in each line indicating a possible match. 

Output=restaurant_pair.csv
##############################################################################
#These are advanced parameters depending on memory 
##############################################################################
# No of Cells in each bucket. Decrease if goes out of memory. 

BucketSize=32

# No of buckets in each tables is 2^{this number}. Too small will never finish. Decrease if goes out of memoryy. #Larger is better. Must be < 27

RangePow=20

# Increase if MinHashing Takes a lot of Time. Must be power of 2.

MinHashChunkSize=32

# Processes these many records in parallel, larger is faster. Decrease if goes out of memory
Chunk=500000