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#-------------------------------------------------------------
#
# 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 scales and center individual features in the input matrix (column wise.) using the input matrices.
#
# INPUT:
# ------------------------------------------------------------------------------------------
# X Input feature matrix
# Centering The column means to subtract from X (not done if empty)
# ScaleFactor The column scaling to multiply with X (not done if empty)
# ------------------------------------------------------------------------------------------
#
# OUTPUT:
# ------------------------------------------------------------------------------------
# Y Output feature matrix with K columns
# ------------------------------------------------------------------------------------
m_scaleApply = function(Matrix[Double] X, Matrix[Double] Centering, Matrix[Double] ScaleFactor)
return (Matrix[Double] Y)
{
centered = ifelse(nrow(Centering) > 0 & ncol(Centering) > 0, X - Centering, X)
if(nrow(ScaleFactor) > 0 & ncol(ScaleFactor) > 0)
Y = centered / ScaleFactor
else Y = centered
}