blob: c74db1e4e58310ad72929276eec46188cf22091e [file] [log] [blame]
#-------------------------------------------------------------
#
# 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.
#
#-------------------------------------------------------------
m_abstain = function(Matrix[Double] X, Matrix[Double] Y, Double threshold, Boolean verbose = FALSE)
return (Matrix[Double] abstain)
{
# for(i in 1:100) {
betas = multiLogReg(X=X, Y=Y, icpt=2, tol=1e-9, reg=0.0001, maxi=100, maxii=0, verbose=FALSE)
[prob, yhat, accuracy] = multiLogRegPredict(X, betas, Y, FALSE)
abstain = cbind(X, Y)
inc = ((yhat != Y) & (rowMaxs(prob) < threshold))
if(sum(inc) > 0)
{
# print("inc vector "+toString(inc))
abstain = removeEmpty(target = cbind(X, Y), margin = "rows", select = (inc == 0) )
}
}