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Declarative Machine Learning

There is a newer version: 1.2.0

#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
# 
#   http://www.apache.org/licenses/LICENSE-2.0
# 
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#
#-------------------------------------------------------------

# Utility script to change format of X.
#
# Parameters:
#    I       : (input)  filename of input
#    O       : (output) filename of output
#    ofmt    : format of O: "csv", "binary"
#    sep     : default ","; CSV separator in output
#    header  : default "FALSE"; CSV header: TRUE | FALSE
#
# Example:
#   hadoop jar SystemML.jar -f algorithms/utils/write.dml -nvargs I="/tmp/X.mtx" O="/tmp/X2.mtx" ofmt="binary" sep="|" header=TRUE
#

sep = ifdef($sep, ",")
header = ifdef($header, FALSE )

M = read($I)
write(M, $O, format=$ofmt, sep=sep, header=header)