blob: 507b8340e846c433da75a96d414cd5b43b31e16c [file]
#-------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
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# to you under the Apache License, Version 2.0 (the
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# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing,
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# "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.
#
#-------------------------------------------------------------
# Builtin function for repairing outliers by IQR
#
# INPUT:
# ------------------------------------------------------------------------------------------
# X Matrix X
# Q1 first quartile
# Q3 third quartile
# IQR Inter-quartile range
# k a constant used to discern outliers k*IQR
# repairMethod values: 0 = delete rows having outliers,
# 1 = replace outliers with zeros
# 2 = replace outliers as missing values
# ------------------------------------------------------------------------------------------
#
# OUTPUT:
# ----------------------------------------------------------------------------------------------------------------------
# Y Matrix X with no outliers
# ----------------------------------------------------------------------------------------------------------------------
m_outlierByIQRApply = function(Matrix[Double] X, Matrix[Double] Q1, Matrix[Double] Q3, Matrix[Double] IQR, Double k, Integer repairMethod)
return(Matrix[Double] Y)
# return(List[Unknown] out)
{
upperBound = (Q3 + (k * IQR));
lowerBound = (Q1 - (k * IQR));
outlierFilter = X < lowerBound | X > upperBound
if(sum(outlierFilter) > 1)
Y = filterOutliers(X, outlierFilter, repairMethod)
else Y = X
}
filterOutliers = function(Matrix[Double] X, Matrix[Double] outlierFilter, Integer repairMethod = 1)
return(Matrix[Double] fixed_X)
{
rows = nrow(X)
cols = ncol(X)
if(repairMethod == 0) {
sel = rowMaxs(outlierFilter) == 0
X = removeEmpty(target = X, margin = "rows", select = sel)
}
else if(repairMethod == 1)
X = (outlierFilter == 0) * X
else if(repairMethod == 2)
{
outlierFilter = replace(target = (outlierFilter == 0), pattern = 0, replacement = NaN)
X = outlierFilter * X
}
else
stop("outlierByIQR: invalid argument - repair required 0-2 found: "+repairMethod)
fixed_X = X
}