#-------------------------------------------------------------
#
# 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]).
# 
# This function is deprecated, use normalize instead.
#
# INPUT:
# ---------------------------------------------
# X      Input feature matrix
# ---------------------------------------------
#
# OUTPUT:
# --------------------------------------------
# Y      Scaled output matrix
# --------------------------------------------

m_scaleMinMax = function(Matrix[Double] X)
  return (Matrix[Double] Y)
{
  print("Deprecated scaleMinMax use normalize instead")
  # compute feature ranges for transformations
  cmin = colMins(X);
  cmax = colMaxs(X);
  diff = (cmax - cmin)
  # avoid division by zero and divide by 1 instead
  diff = replace(target=diff, pattern=0, replacement=1);
  # normalize features to given range ([0,1] if indeed min/max)
  Y = (X - cmin) / diff;
}
