Milan Jelisavcic zenfiric

## elementaryos.md

      
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                isneezy
                / elementaryos.md
            
            
              Created
              December 22, 2019 08:37
                — forked from Surendrajat/elementaryos.md
            
              
                elementaryOS | Things To Do After Installing elementary OS Hera(5.1)
              
          
    First Things First


 Enable PPA
 sudo apt update
 sudo apt install software-properties-common


 Install apt-fast


## lag.R
lf1 <- function (dataset2, valcol2, numfeats){
  # Computes the lag features for specific column specified by valcol2 within dataset2
  # This creates total numfeats new features and it assumes dataset is already sorted by time
  # Args:
  #   dataset2: dataset to be used for adding new features.
  #   valcol2:  index of the column for which we need to create new features.
  #   numfeats: number of features to create. For example, if this is 3, then it will create 3 new lag features
  #
  # Returns:
  #   New dataset with additional features

## neo4j_cypher_cheatsheet.md

      
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                DaniSancas
                / neo4j_cypher_cheatsheet.md
            
            
              Created
              June 14, 2016 23:52
            
              
                Neo4j's Cypher queries cheatsheet
              
          
    Neo4j Tutorial

Fundamentals

Store any kind of data using the following graph concepts:

Node: Graph data records
Relationship: Connect nodes (has direction and a type)
Property: Stores data in key-value pair in nodes and relationships
Label: Groups nodes and relationships (optional)


## commit_message_template
# Is this WIP or a minor change?
# [skip ci]

# Are you ready to indicate a related Jira issue?
# [#OSF- ]

# Style guidelines
# ----------------
# Capitalized, short (50 chars or less) summary
#
	lf1 <- function (dataset2, valcol2, numfeats){
	# Computes the lag features for specific column specified by valcol2 within dataset2
	# This creates total numfeats new features and it assumes dataset is already sorted by time
	# Args:
	# dataset2: dataset to be used for adding new features.
	# valcol2: index of the column for which we need to create new features.
	# numfeats: number of features to create. For example, if this is 3, then it will create 3 new lag features
	#
	# Returns:
	# New dataset with additional features
	# Is this WIP or a minor change?
	# [skip ci]

	# Are you ready to indicate a related Jira issue?
	# [#OSF- ]

	# Style guidelines
	# ----------------
	# Capitalized, short (50 chars or less) summary
	#