blob: df2c75d459ae1308c2e2ca4023a3e735aefcb742 [file]
#-------------------------------------------------------------
#
# 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.
#
#-------------------------------------------------------------
# This function performs min-max normalization (rescaling to [0,1]).
#
# INPUT:
# ---------------------------------------------
# X Input feature matrix
# ---------------------------------------------
#
# OUTPUT:
# --------------------------------------------
# Y Scaled output matrix
# --------------------------------------------
m_scaleMinMax = function(Matrix[Double] X)
return (Matrix[Double] Y)
{
Y = (X - colMins(X)) / (colMaxs(X) - colMins(X));
}