# GENERAL PARAMETERS
# ----------------------------------------------------------------------------------------------------------------
# Mode (1, 2, 4 values are not about this paper):
# 0 = Run HENPC once. It uses training-test 70-30. If dataset must be created, it uses given labels when dataset is available yet.
# 3 = Performs automated experiments using k-fold cross validation. Runs Mr-SBC, KNN and SMO. Gathers results from all of them.
mode=3

# Number of threads that have to be used.  0 = Exploit all system threads.
numberthread=0

# Number of decimal digits for weights.
weightsDigits=2

# Launch KNN SMO and MrSBC when true. Only with mode 3.
launchCompetitives=false


# DATASET CREATION PARAMETERS
# ----------------------------------------------------------------------------------------------------------------
# Normalize input scores in [0,1]. Choose true only if you have a txt dataset with weights out of range [0,1].
normalizeScores=false

# Max number of paths between targets to explore. 0 = all paths.
pathsNumber=3

# Max path length. 0 = any length.
pathsLength=0

# Maximum depth for the aggregation of tables connected tables in the paths between targets.
connectedDepth=2


# CLUSTERING PARAMETERS
# ----------------------------------------------------------------------------------------------------------------
# Performs only Clustering
onlyClustering=false

#Clustering levels to generate. If -1, find all levels of clustering
clusteringLevels=3

# BETA:
# Set this value to "beta" if you have a predefined value for beta. Set this value to "perc" if you want to keep a percentage of tuples.
thresholdType=perc

# Minimum edge weight to consider it as significant or percentage of tuples to consider. Uncomment the predefined value you want to use or change it.
#thresholdValue=0.6
thresholdValue=0.4
#thresholdValue=0.2

# ALPHA:
# Alpha value. When threshold type is set to "perc", alpha will be set to beta minus the value you set here:
alpha=0.2


# CLASSIFICATION PARAMETERS
# ----------------------------------------------------------------------------------------------------------------
# GAMMA:
# Inter-target VS Intra-target weight. 0.0 = Only Inter-target predictions. 1.0 = Only Intra-target predictions. -1 = All possible values
gamma=0

# Training set (labels) and Test Set (allLabels) filenames. Leave unchanged.
labels=labels
allLabels=allLabels

# Performs k-fold cross validation. TRUE = random folds; FALSE = use existing folds in folder DBNAME_splitARFF_old
randomFolds=false

# Number of folds for k-fold cross Validation
numFolds=10

# DATABASE PARAMETERS
# ----------------------------------------------------------------------------------------------------------------
# Set false only if you have your own txt input files with tuples and scores
createFromDatabase=true

# Parameters for the database connection (ignored if createFromDatabase=0).
dburl=localhost
username=postgres
password=
schema=public

# Datset/Database name on which run HENPC (Add target tables and attributes in the lower section if they are not present)
# Uncomment the correct database

database=uwcse
#database=webkb
#database=dblp
#database=movie
#database=yelp
#database=imdb


# TARGET TABLES AND ATTRIBUTES SECTION
# ----------------------------------------------------------------------------------------------------------------

# UWCSE
# -------------------------
uwcse1=courses
uwcse1_att1=discipline

uwcse2=persons

# WEBKB
# -------------------------
webkb1=pages
webkb1_att1=category

webkb2=terms

# DBLP
# -------------------------
dblp1=papers
dblp1_att1=citation_level

dblp2=authors

# MOVIE
# -------------------------
movie1=movies
movie1_att1=category

movie2=users

# YELP
# -------------------------
yelp1=business
yelp1_att1=category

yelp2=users
yelp2_att1=average_rate

# IMDB
# -------------------------
imdb1=movies
imdb1_att1=genre

imdb2=users


# SECTION OF PARAMETERS THAT SHOULD NOT BE EDITED! PLEASE DO NOT TOUCH THEM!
# ----------------------------------------------------------------------------------------------------------------
# Link Prediction Stuff
realAssociations=lncrna_disease.txt
measure=all
# Unused parameters. Do not delete or change them!
post=false
igWeight=0
pruneSingleObjectCluster=false
compactnessBins=10